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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2403.05055 | Yitao Zhu | Yitao Zhu, Sheng Wang, Mengjie Xu, Zixu Zhuang, Zhixin Wang, Kaidong
Wang, Han Zhang, Qian Wang | MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body
Reconstruction | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multiple cameras can provide multi-view video coverage of a person. It is
necessary to fuse multi-view data, e.g., for subsequent behavioral analysis,
while such fusion often relies on calibration of cameras in traditional
solutions. However, it is non-trivial to calibrate multiple cameras. In this
work, we propose a... | [
{
"created": "Fri, 8 Mar 2024 05:03:25 GMT",
"version": "v1"
}
] | 2024-03-11 | [
[
"Zhu",
"Yitao",
""
],
[
"Wang",
"Sheng",
""
],
[
"Xu",
"Mengjie",
""
],
[
"Zhuang",
"Zixu",
""
],
[
"Wang",
"Zhixin",
""
],
[
"Wang",
"Kaidong",
""
],
[
"Zhang",
"Han",
""
],
[
"Wang",
"Qian",
... | Multiple cameras can provide multi-view video coverage of a person. It is necessary to fuse multi-view data, e.g., for subsequent behavioral analysis, while such fusion often relies on calibration of cameras in traditional solutions. However, it is non-trivial to calibrate multiple cameras. In this work, we propose a m... |
1906.08936 | Maofan Yin | Team Rocket, Maofan Yin, Kevin Sekniqi, Robbert van Renesse, and Emin
G\"un Sirer | Scalable and Probabilistic Leaderless BFT Consensus through
Metastability | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a family of leaderless Byzantine fault tolerance
protocols, built around a metastable mechanism via network subsampling. These
protocols provide a strong probabilistic safety guarantee in the presence of
Byzantine adversaries while their concurrent and leaderless nature enables them
to achieve h... | [
{
"created": "Fri, 21 Jun 2019 03:55:19 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Aug 2020 14:54:44 GMT",
"version": "v2"
}
] | 2020-08-25 | [
[
"Rocket",
"Team",
""
],
[
"Yin",
"Maofan",
""
],
[
"Sekniqi",
"Kevin",
""
],
[
"van Renesse",
"Robbert",
""
],
[
"Sirer",
"Emin Gün",
""
]
] | This paper introduces a family of leaderless Byzantine fault tolerance protocols, built around a metastable mechanism via network subsampling. These protocols provide a strong probabilistic safety guarantee in the presence of Byzantine adversaries while their concurrent and leaderless nature enables them to achieve hig... |
1905.02428 | Tobias Kaminski | Tobias Kaminski | Integrated Algorithms for HEX-Programs and Applications in Machine
Learning | 7 pages, submitted for the Doctoral Consortium at the 15th
International Conference on Logic Programming and Non-monotonic Reasoning
(LPNMR 2019) | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper summarizes my doctoral research on evaluation algorithms for
HEX-programs, which extend Answer Set Programming with means for interfacing
external computations. The focus is on integrating different subprocesses of
HEX-evaluation, such as solving and external calls as well as grounding, and on
applications... | [
{
"created": "Tue, 7 May 2019 09:22:36 GMT",
"version": "v1"
}
] | 2019-05-08 | [
[
"Kaminski",
"Tobias",
""
]
] | This paper summarizes my doctoral research on evaluation algorithms for HEX-programs, which extend Answer Set Programming with means for interfacing external computations. The focus is on integrating different subprocesses of HEX-evaluation, such as solving and external calls as well as grounding, and on applications o... |
1903.03019 | Nalin Asanka Gamagedara Arachchilage | Matt Dixon, Nalin Asanka Gamagedara Arachchilage, James Nicholson | Engaging Users with Educational Games: The Case of Phishing | 4 | CHI '19 Extended Abstracts on Human Factors in Computing Systems
Proceedings (CHI 2019), 2019 | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Phishing continues to be a difficult problem for individuals and
organisations. Educational games and simulations have been increasingly
acknowledged as enormous and powerful teaching tools, yet little work has
examined how to engage users with these games. We explore this problem by
conducting workshops with 9 young... | [
{
"created": "Thu, 7 Mar 2019 16:12:14 GMT",
"version": "v1"
}
] | 2019-03-08 | [
[
"Dixon",
"Matt",
""
],
[
"Arachchilage",
"Nalin Asanka Gamagedara",
""
],
[
"Nicholson",
"James",
""
]
] | Phishing continues to be a difficult problem for individuals and organisations. Educational games and simulations have been increasingly acknowledged as enormous and powerful teaching tools, yet little work has examined how to engage users with these games. We explore this problem by conducting workshops with 9 younger... |
1710.06194 | Da Chen | Da Chen, Laurent D. Cohen | A New Coherence-Penalized Minimal Path Model with Application to Retinal
Vessel Centerline Delineation | null | null | null | null | cs.CG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a new minimal path model for minimally interactive
retinal vessel centerline extraction. The main contribution lies at the
construction of a novel coherence-penalized Riemannian metric in a lifted
space, dependently of the local geometry of tubularity and an external
scalar-valued reference ... | [
{
"created": "Tue, 17 Oct 2017 10:23:57 GMT",
"version": "v1"
}
] | 2017-10-18 | [
[
"Chen",
"Da",
""
],
[
"Cohen",
"Laurent D.",
""
]
] | In this paper, we propose a new minimal path model for minimally interactive retinal vessel centerline extraction. The main contribution lies at the construction of a novel coherence-penalized Riemannian metric in a lifted space, dependently of the local geometry of tubularity and an external scalar-valued reference fe... |
2202.05895 | Farhad Shirani Chaharsooghi | M. Shariatnasab, F. Shirani and Z. Anwar | Privacy Limits in Power-Law Bipartite Networks under Active
Fingerprinting Attacks | null | null | null | null | cs.SI cs.DB cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work considers the fundamental privacy limits under active
fingerprinting attacks in power-law bipartite networks. The scenario arises
naturally in social network analysis, tracking user mobility in wireless
networks, and forensics applications, among others. A stochastic growing
network generation model -- call... | [
{
"created": "Fri, 11 Feb 2022 20:31:09 GMT",
"version": "v1"
}
] | 2022-02-15 | [
[
"Shariatnasab",
"M.",
""
],
[
"Shirani",
"F.",
""
],
[
"Anwar",
"Z.",
""
]
] | This work considers the fundamental privacy limits under active fingerprinting attacks in power-law bipartite networks. The scenario arises naturally in social network analysis, tracking user mobility in wireless networks, and forensics applications, among others. A stochastic growing network generation model -- called... |
1908.02575 | Oscar Correa | Oscar Correa and Jeffrey Chan and Vinh Nguyen | Alternative Blockmodelling | 56 pages, 23 figures | null | null | null | cs.SI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many approaches have been proposed to discover clusters within networks.
Community finding field encompasses approaches which try to discover clusters
where nodes are tightly related within them but loosely related with nodes of
other clusters. However, a community network configuration is not the only
possible laten... | [
{
"created": "Sat, 27 Jul 2019 06:49:47 GMT",
"version": "v1"
}
] | 2019-08-08 | [
[
"Correa",
"Oscar",
""
],
[
"Chan",
"Jeffrey",
""
],
[
"Nguyen",
"Vinh",
""
]
] | Many approaches have been proposed to discover clusters within networks. Community finding field encompasses approaches which try to discover clusters where nodes are tightly related within them but loosely related with nodes of other clusters. However, a community network configuration is not the only possible latent ... |
1909.06319 | Yang Li | Yang Li, Shoaib Akbar, Junier B. Oliva | Flow Models for Arbitrary Conditional Likelihoods | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Understanding the dependencies among features of a dataset is at the core of
most unsupervised learning tasks. However, a majority of generative modeling
approaches are focused solely on the joint distribution $p(x)$ and utilize
models where it is intractable to obtain the conditional distribution of some
arbitrary s... | [
{
"created": "Fri, 13 Sep 2019 16:35:17 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Aug 2020 13:30:33 GMT",
"version": "v2"
}
] | 2020-08-07 | [
[
"Li",
"Yang",
""
],
[
"Akbar",
"Shoaib",
""
],
[
"Oliva",
"Junier B.",
""
]
] | Understanding the dependencies among features of a dataset is at the core of most unsupervised learning tasks. However, a majority of generative modeling approaches are focused solely on the joint distribution $p(x)$ and utilize models where it is intractable to obtain the conditional distribution of some arbitrary sub... |
1301.2683 | Josef Urban | Josef Urban | BliStr: The Blind Strategymaker | null | null | null | null | cs.AI cs.LG cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | BliStr is a system that automatically develops strategies for E prover on a
large set of problems. The main idea is to interleave (i) iterated
low-timelimit local search for new strategies on small sets of similar easy
problems with (ii) higher-timelimit evaluation of the new strategies on all
problems. The accumulat... | [
{
"created": "Sat, 12 Jan 2013 13:02:21 GMT",
"version": "v1"
},
{
"created": "Wed, 28 May 2014 12:54:41 GMT",
"version": "v2"
}
] | 2014-05-29 | [
[
"Urban",
"Josef",
""
]
] | BliStr is a system that automatically develops strategies for E prover on a large set of problems. The main idea is to interleave (i) iterated low-timelimit local search for new strategies on small sets of similar easy problems with (ii) higher-timelimit evaluation of the new strategies on all problems. The accumulated... |
1504.02843 | Riccardo Sven Risuleo | Riccardo Sven Risuleo, Marco Molinari, Giulio Bottegal, H{\aa}kan
Hjalmarsson, Karl H. Johansson | A benchmark for data-based office modeling: challenges related to CO$_2$
dynamics | 14 pages, accepted for publication to IFAC SysId 2015 | null | 10.1016/j.ifacol.2015.12.304 | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes a benchmark consisting of a set of synthetic
measurements relative to an office environment simulated with the software
IDA-ICE. The simulated environment reproduces a laboratory at the KTH-EES Smart
Building, equipped with a building management system. The data set contains
records collected ove... | [
{
"created": "Sat, 11 Apr 2015 06:31:24 GMT",
"version": "v1"
},
{
"created": "Thu, 19 May 2016 09:12:14 GMT",
"version": "v2"
}
] | 2016-05-20 | [
[
"Risuleo",
"Riccardo Sven",
""
],
[
"Molinari",
"Marco",
""
],
[
"Bottegal",
"Giulio",
""
],
[
"Hjalmarsson",
"Håkan",
""
],
[
"Johansson",
"Karl H.",
""
]
] | This paper describes a benchmark consisting of a set of synthetic measurements relative to an office environment simulated with the software IDA-ICE. The simulated environment reproduces a laboratory at the KTH-EES Smart Building, equipped with a building management system. The data set contains records collected over ... |
1207.0805 | Pallavali Radha Krishna Reddy | G.Geethu Lakshmi | Anatomical Structure Segmentation in Liver MRI Images | Withdrawn by author for final modification | null | null | null | cs.CV | http://creativecommons.org/licenses/by/3.0/ | Segmentation of medical images is a challenging task owing to their
complexity. A standard segmentation problem within Magnetic Resonance Imaging
(MRI) is the task of labeling voxels according to their tissue type. Image
segmentation provides volumetric quantification of liver area and thus helps in
the diagnosis of ... | [
{
"created": "Tue, 3 Jul 2012 14:32:20 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Jul 2012 10:48:33 GMT",
"version": "v2"
},
{
"created": "Sat, 30 Mar 2013 05:25:58 GMT",
"version": "v3"
}
] | 2013-04-02 | [
[
"Lakshmi",
"G. Geethu",
""
]
] | Segmentation of medical images is a challenging task owing to their complexity. A standard segmentation problem within Magnetic Resonance Imaging (MRI) is the task of labeling voxels according to their tissue type. Image segmentation provides volumetric quantification of liver area and thus helps in the diagnosis of di... |
2404.01843 | Wangguandong Zheng | Wangguandong Zheng, Haifeng Xia, Rui Chen, Ming Shao, Siyu Xia,
Zhengming Ding | Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, image-to-3D approaches have achieved significant results with a
natural image as input. However, it is not always possible to access these
enriched color input samples in practical applications, where only sketches are
available. Existing sketch-to-3D researches suffer from limitations in broad
applications... | [
{
"created": "Tue, 2 Apr 2024 11:03:24 GMT",
"version": "v1"
},
{
"created": "Sun, 7 Apr 2024 04:17:32 GMT",
"version": "v2"
}
] | 2024-04-09 | [
[
"Zheng",
"Wangguandong",
""
],
[
"Xia",
"Haifeng",
""
],
[
"Chen",
"Rui",
""
],
[
"Shao",
"Ming",
""
],
[
"Xia",
"Siyu",
""
],
[
"Ding",
"Zhengming",
""
]
] | Recently, image-to-3D approaches have achieved significant results with a natural image as input. However, it is not always possible to access these enriched color input samples in practical applications, where only sketches are available. Existing sketch-to-3D researches suffer from limitations in broad applications d... |
2306.13773 | Stephen Pasteris | Stephen Pasteris, Chris Hicks, Vasilios Mavroudis | Nearest Neighbour with Bandit Feedback | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we adapt the nearest neighbour rule to the contextual bandit
problem. Our algorithm handles the fully adversarial setting in which no
assumptions at all are made about the data-generation process. When combined
with a sufficiently fast data-structure for (perhaps approximate) adaptive
nearest neighbour ... | [
{
"created": "Fri, 23 Jun 2023 20:09:01 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Aug 2023 20:19:16 GMT",
"version": "v2"
},
{
"created": "Thu, 7 Mar 2024 21:07:35 GMT",
"version": "v3"
}
] | 2024-03-11 | [
[
"Pasteris",
"Stephen",
""
],
[
"Hicks",
"Chris",
""
],
[
"Mavroudis",
"Vasilios",
""
]
] | In this paper we adapt the nearest neighbour rule to the contextual bandit problem. Our algorithm handles the fully adversarial setting in which no assumptions at all are made about the data-generation process. When combined with a sufficiently fast data-structure for (perhaps approximate) adaptive nearest neighbour se... |
2209.05070 | Xiangyu Wang | Anjun Chen, Xiangyu Wang, Shaohao Zhu, Yanxu Li, Jiming Chen, Qi Ye | mmBody Benchmark: 3D Body Reconstruction Dataset and Analysis for
Millimeter Wave Radar | Accepted to ACM Multimedia 2022, Project Page:
https://chen3110.github.io/mmbody/index.html | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Millimeter Wave (mmWave) Radar is gaining popularity as it can work in
adverse environments like smoke, rain, snow, poor lighting, etc. Prior work has
explored the possibility of reconstructing 3D skeletons or meshes from the
noisy and sparse mmWave Radar signals. However, it is unclear how accurately we
can reconstr... | [
{
"created": "Mon, 12 Sep 2022 08:00:31 GMT",
"version": "v1"
},
{
"created": "Fri, 14 Apr 2023 03:07:03 GMT",
"version": "v2"
},
{
"created": "Thu, 21 Sep 2023 10:11:03 GMT",
"version": "v3"
}
] | 2023-09-22 | [
[
"Chen",
"Anjun",
""
],
[
"Wang",
"Xiangyu",
""
],
[
"Zhu",
"Shaohao",
""
],
[
"Li",
"Yanxu",
""
],
[
"Chen",
"Jiming",
""
],
[
"Ye",
"Qi",
""
]
] | Millimeter Wave (mmWave) Radar is gaining popularity as it can work in adverse environments like smoke, rain, snow, poor lighting, etc. Prior work has explored the possibility of reconstructing 3D skeletons or meshes from the noisy and sparse mmWave Radar signals. However, it is unclear how accurately we can reconstruc... |
2202.09892 | Alec Farid | Michelle Ho and Alec Farid and Anirudha Majumdar | Towards a Framework for Comparing the Complexity of Robotic Tasks | null | null | null | null | cs.RO cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We are motivated by the problem of comparing the complexity of one robotic
task relative to another. To this end, we define a notion of reduction that
formalizes the following intuition: Task 1 reduces to Task 2 if we can
efficiently transform any policy that solves Task 2 into a policy that solves
Task 1. We further... | [
{
"created": "Sun, 20 Feb 2022 19:12:24 GMT",
"version": "v1"
},
{
"created": "Sun, 29 May 2022 21:54:55 GMT",
"version": "v2"
},
{
"created": "Fri, 24 Jun 2022 16:47:02 GMT",
"version": "v3"
}
] | 2022-06-27 | [
[
"Ho",
"Michelle",
""
],
[
"Farid",
"Alec",
""
],
[
"Majumdar",
"Anirudha",
""
]
] | We are motivated by the problem of comparing the complexity of one robotic task relative to another. To this end, we define a notion of reduction that formalizes the following intuition: Task 1 reduces to Task 2 if we can efficiently transform any policy that solves Task 2 into a policy that solves Task 1. We further d... |
2210.02843 | Runmin Cong | Runmin Cong, Qinwei Lin, Chen Zhang, Chongyi Li, Xiaochun Cao,
Qingming Huang, and Yao Zhao | CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient
Object Detection | Accepted by IEEE Transactions on Image Processing 2022, 16 pages, 11
figures | null | 10.1109/TIP.2022.3216198 | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Focusing on the issue of how to effectively capture and utilize
cross-modality information in RGB-D salient object detection (SOD) task, we
present a convolutional neural network (CNN) model, named CIR-Net, based on the
novel cross-modality interaction and refinement. For the cross-modality
interaction, 1) a progress... | [
{
"created": "Thu, 6 Oct 2022 11:59:19 GMT",
"version": "v1"
}
] | 2022-11-23 | [
[
"Cong",
"Runmin",
""
],
[
"Lin",
"Qinwei",
""
],
[
"Zhang",
"Chen",
""
],
[
"Li",
"Chongyi",
""
],
[
"Cao",
"Xiaochun",
""
],
[
"Huang",
"Qingming",
""
],
[
"Zhao",
"Yao",
""
]
] | Focusing on the issue of how to effectively capture and utilize cross-modality information in RGB-D salient object detection (SOD) task, we present a convolutional neural network (CNN) model, named CIR-Net, based on the novel cross-modality interaction and refinement. For the cross-modality interaction, 1) a progressiv... |
2403.18791 | Tianfu Wang | Tianfu Wang, Guosheng Hu, Hongguang Wang | Object Pose Estimation via the Aggregation of Diffusion Features | Accepted to CVPR2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Estimating the pose of objects from images is a crucial task of 3D scene
understanding, and recent approaches have shown promising results on very large
benchmarks. However, these methods experience a significant performance drop
when dealing with unseen objects. We believe that it results from the limited
generaliza... | [
{
"created": "Wed, 27 Mar 2024 17:35:24 GMT",
"version": "v1"
},
{
"created": "Sat, 1 Jun 2024 15:25:47 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Wang",
"Tianfu",
""
],
[
"Hu",
"Guosheng",
""
],
[
"Wang",
"Hongguang",
""
]
] | Estimating the pose of objects from images is a crucial task of 3D scene understanding, and recent approaches have shown promising results on very large benchmarks. However, these methods experience a significant performance drop when dealing with unseen objects. We believe that it results from the limited generalizabi... |
1205.4778 | Matthias W\"ahlisch | Matthias W\"ahlisch, Thomas C. Schmidt, Markus Vahlenkamp | Backscatter from the Data Plane --- Threats to Stability and Security in
Information-Centric Networking | 15 pages | Computer Networks, Vol. 57, No. 16, pp. 3192-3206, Elsevier, Nov.
2013 | 10.1016/j.comnet.2013.07.009 | null | cs.NI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Information-centric networking proposals attract much attention in the
ongoing search for a future communication paradigm of the Internet. Replacing
the host-to-host connectivity by a data-oriented publish/subscribe service
eases content distribution and authentication by concept, while eliminating
threats from unwan... | [
{
"created": "Tue, 22 May 2012 00:24:13 GMT",
"version": "v1"
},
{
"created": "Sun, 2 Sep 2012 22:22:41 GMT",
"version": "v2"
}
] | 2013-11-12 | [
[
"Wählisch",
"Matthias",
""
],
[
"Schmidt",
"Thomas C.",
""
],
[
"Vahlenkamp",
"Markus",
""
]
] | Information-centric networking proposals attract much attention in the ongoing search for a future communication paradigm of the Internet. Replacing the host-to-host connectivity by a data-oriented publish/subscribe service eases content distribution and authentication by concept, while eliminating threats from unwante... |
2301.08245 | Pierluigi Zama Ramirez | Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi,
Samuele Salti, Stefano Mattoccia, Luigi Di Stefano | Booster: a Benchmark for Depth from Images of Specular and Transparent
Surfaces | Extension of the paper "Open Challenges in Deep Stereo: the Booster
Dataset" presented at CVPR 2022. Accepted at TPAMI | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Estimating depth from images nowadays yields outstanding results, both in
terms of in-domain accuracy and generalization. However, we identify two main
challenges that remain open in this field: dealing with non-Lambertian
materials and effectively processing high-resolution images. Purposely, we
propose a novel data... | [
{
"created": "Thu, 19 Jan 2023 18:59:28 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Oct 2023 17:58:14 GMT",
"version": "v2"
},
{
"created": "Tue, 30 Jan 2024 14:02:58 GMT",
"version": "v3"
}
] | 2024-01-31 | [
[
"Ramirez",
"Pierluigi Zama",
""
],
[
"Costanzino",
"Alex",
""
],
[
"Tosi",
"Fabio",
""
],
[
"Poggi",
"Matteo",
""
],
[
"Salti",
"Samuele",
""
],
[
"Mattoccia",
"Stefano",
""
],
[
"Di Stefano",
"Luigi",
""
... | Estimating depth from images nowadays yields outstanding results, both in terms of in-domain accuracy and generalization. However, we identify two main challenges that remain open in this field: dealing with non-Lambertian materials and effectively processing high-resolution images. Purposely, we propose a novel datase... |
2011.06198 | Eric Le Ferrand | \'Eric Le Ferrand, Steven Bird, Laurent Besacier | Enabling Interactive Transcription in an Indigenous Community | inproceedings Coling 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel transcription workflow which combines spoken term
detection and human-in-the-loop, together with a pilot experiment. This work is
grounded in an almost zero-resource scenario where only a few terms have so far
been identified, involving two endangered languages. We show that in the early
stages of ... | [
{
"created": "Thu, 12 Nov 2020 04:41:35 GMT",
"version": "v1"
}
] | 2020-11-13 | [
[
"Ferrand",
"Éric Le",
""
],
[
"Bird",
"Steven",
""
],
[
"Besacier",
"Laurent",
""
]
] | We propose a novel transcription workflow which combines spoken term detection and human-in-the-loop, together with a pilot experiment. This work is grounded in an almost zero-resource scenario where only a few terms have so far been identified, involving two endangered languages. We show that in the early stages of tr... |
2107.12940 | Mark Koren | Mark Koren and Ahmed Nassar and Mykel J. Kochenderfer | Finding Failures in High-Fidelity Simulation using Adaptive Stress
Testing and the Backward Algorithm | Accepted to IROS 2021 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Validating the safety of autonomous systems generally requires the use of
high-fidelity simulators that adequately capture the variability of real-world
scenarios. However, it is generally not feasible to exhaustively search the
space of simulation scenarios for failures. Adaptive stress testing (AST) is a
method tha... | [
{
"created": "Tue, 27 Jul 2021 16:54:04 GMT",
"version": "v1"
}
] | 2021-07-28 | [
[
"Koren",
"Mark",
""
],
[
"Nassar",
"Ahmed",
""
],
[
"Kochenderfer",
"Mykel J.",
""
]
] | Validating the safety of autonomous systems generally requires the use of high-fidelity simulators that adequately capture the variability of real-world scenarios. However, it is generally not feasible to exhaustively search the space of simulation scenarios for failures. Adaptive stress testing (AST) is a method that ... |
1910.05522 | Hassan Khosravi | Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams | RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning
Activities | To be published by the Journal of Learning Analytics | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a platform called RiPPLE (Recommendation in Personalised
Peer-Learning Environments) that recommends personalized learning activities to
students based on their knowledge state from a pool of crowdsourced learning
activities that are generated by educators and the students themselves. RiPPLE
integ... | [
{
"created": "Sat, 12 Oct 2019 07:42:52 GMT",
"version": "v1"
}
] | 2019-10-15 | [
[
"Khosravi",
"Hassan",
""
],
[
"Kitto",
"Kirsty",
""
],
[
"Williams",
"Joseph Jay",
""
]
] | This paper presents a platform called RiPPLE (Recommendation in Personalised Peer-Learning Environments) that recommends personalized learning activities to students based on their knowledge state from a pool of crowdsourced learning activities that are generated by educators and the students themselves. RiPPLE integra... |
2302.10351 | Georgios Kissas | Jacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris | Variational Autoencoding Neural Operators | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Unsupervised learning with functional data is an emerging paradigm of machine
learning research with applications to computer vision, climate modeling and
physical systems. A natural way of modeling functional data is by learning
operators between infinite dimensional spaces, leading to discretization
invariant repre... | [
{
"created": "Mon, 20 Feb 2023 22:34:43 GMT",
"version": "v1"
}
] | 2023-02-22 | [
[
"Seidman",
"Jacob H.",
""
],
[
"Kissas",
"Georgios",
""
],
[
"Pappas",
"George J.",
""
],
[
"Perdikaris",
"Paris",
""
]
] | Unsupervised learning with functional data is an emerging paradigm of machine learning research with applications to computer vision, climate modeling and physical systems. A natural way of modeling functional data is by learning operators between infinite dimensional spaces, leading to discretization invariant represe... |
2305.14215 | Ziru Chen | Chang-You Tai, Ziru Chen, Tianshu Zhang, Xiang Deng and Huan Sun | Exploring Chain-of-Thought Style Prompting for Text-to-SQL | EMNLP 2023 main; long paper | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In-context learning with large language models (LLMs) has recently caught
increasing attention due to its superior few-shot performance on various tasks.
However, its performance on text-to-SQL parsing still has much room for
improvement. In this paper, we hypothesize that a crucial aspect of LLMs to
improve for text... | [
{
"created": "Tue, 23 May 2023 16:32:36 GMT",
"version": "v1"
},
{
"created": "Fri, 27 Oct 2023 15:21:38 GMT",
"version": "v2"
}
] | 2023-10-30 | [
[
"Tai",
"Chang-You",
""
],
[
"Chen",
"Ziru",
""
],
[
"Zhang",
"Tianshu",
""
],
[
"Deng",
"Xiang",
""
],
[
"Sun",
"Huan",
""
]
] | In-context learning with large language models (LLMs) has recently caught increasing attention due to its superior few-shot performance on various tasks. However, its performance on text-to-SQL parsing still has much room for improvement. In this paper, we hypothesize that a crucial aspect of LLMs to improve for text-t... |
2206.10697 | Simona Maggio | Simona Maggio, Victor Bouvier and L\'eo Dreyfus-Schmidt | Performance Prediction Under Dataset Shift | Published at ICPR | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | ML models deployed in production often have to face unknown domain changes,
fundamentally different from their training settings. Performance prediction
models carry out the crucial task of measuring the impact of these changes on
model performance. We study the generalization capabilities of various
performance pred... | [
{
"created": "Tue, 21 Jun 2022 19:40:58 GMT",
"version": "v1"
}
] | 2022-06-23 | [
[
"Maggio",
"Simona",
""
],
[
"Bouvier",
"Victor",
""
],
[
"Dreyfus-Schmidt",
"Léo",
""
]
] | ML models deployed in production often have to face unknown domain changes, fundamentally different from their training settings. Performance prediction models carry out the crucial task of measuring the impact of these changes on model performance. We study the generalization capabilities of various performance predic... |
1810.13195 | Yacine Ouzrout | Thtiya Manakitsirisuthi, Yacine Ouzrout (LIESP), Abdelaziz Bouras
(LIESP) | A multi-agent system for managing the product lifecycle sustainability | null | International Conference on Software, Knowledge and Application,
Oct 2009, Fez, Morocco. pp.8, 2009 | null | null | cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The international competitive market causes the increasing of shorten product
life cycle and product development process with the improvement in term of
time, cost and quality while increasing the waste generation. Product life
cycle sustainability can reduce waste, conserve resources, use recycling
materials, design... | [
{
"created": "Wed, 31 Oct 2018 10:17:33 GMT",
"version": "v1"
}
] | 2018-11-01 | [
[
"Manakitsirisuthi",
"Thtiya",
"",
"LIESP"
],
[
"Ouzrout",
"Yacine",
"",
"LIESP"
],
[
"Bouras",
"Abdelaziz",
"",
"LIESP"
]
] | The international competitive market causes the increasing of shorten product life cycle and product development process with the improvement in term of time, cost and quality while increasing the waste generation. Product life cycle sustainability can reduce waste, conserve resources, use recycling materials, design p... |
1309.1516 | Shih-Chun Lin | Shih-Chun Lin and Cheng-Liang Lin | On Secrecy Capacity of Fast Fading MIMOME Wiretap Channels With
Statistical CSIT | submitted to IEEE Transactions on Wireless Communications | null | 10.1109/TWC.2014.041714.11654 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider secure transmissions in ergodic Rayleigh
fast-faded multiple-input multiple-output multiple-antenna-eavesdropper
(MIMOME) wiretap channels with only statistical channel state information at
the transmitter (CSIT). When the legitimate receiver has more (or equal)
antennas than the eavesdropp... | [
{
"created": "Fri, 6 Sep 2013 01:32:11 GMT",
"version": "v1"
}
] | 2014-05-13 | [
[
"Lin",
"Shih-Chun",
""
],
[
"Lin",
"Cheng-Liang",
""
]
] | In this paper, we consider secure transmissions in ergodic Rayleigh fast-faded multiple-input multiple-output multiple-antenna-eavesdropper (MIMOME) wiretap channels with only statistical channel state information at the transmitter (CSIT). When the legitimate receiver has more (or equal) antennas than the eavesdropper... |
2309.05388 | Seong Hun Lee | Seong Hun Lee, Javier Civera | Robust Single Rotation Averaging Revisited | null | null | null | null | cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we propose a novel method for robust single rotation averaging
that can efficiently handle an extremely large fraction of outliers. Our
approach is to minimize the total truncated least unsquared deviations (TLUD)
cost of geodesic distances. The proposed algorithm consists of three steps:
First, we cons... | [
{
"created": "Mon, 11 Sep 2023 11:35:17 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Feb 2024 22:49:08 GMT",
"version": "v2"
},
{
"created": "Mon, 26 Feb 2024 23:10:27 GMT",
"version": "v3"
},
{
"created": "Wed, 28 Feb 2024 12:14:48 GMT",
"version": "v4"
}
] | 2024-02-29 | [
[
"Lee",
"Seong Hun",
""
],
[
"Civera",
"Javier",
""
]
] | In this work, we propose a novel method for robust single rotation averaging that can efficiently handle an extremely large fraction of outliers. Our approach is to minimize the total truncated least unsquared deviations (TLUD) cost of geodesic distances. The proposed algorithm consists of three steps: First, we consid... |
2203.13883 | Sara Abdali | Sara Abdali, Sina shaham, Bhaskar Krishnamachari | Multi-modal Misinformation Detection: Approaches, Challenges and
Opportunities | null | null | null | null | cs.LG cs.AI cs.CV cs.CY cs.MM cs.SI | http://creativecommons.org/licenses/by-sa/4.0/ | As social media platforms are evolving from text-based forums into
multi-modal environments, the nature of misinformation in social media is also
transforming accordingly. Taking advantage of the fact that visual modalities
such as images and videos are more favorable and attractive to the users and
textual contents ... | [
{
"created": "Fri, 25 Mar 2022 19:45:33 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Apr 2022 21:03:13 GMT",
"version": "v2"
},
{
"created": "Tue, 26 Jul 2022 21:55:37 GMT",
"version": "v3"
},
{
"created": "Tue, 23 Jan 2024 03:54:48 GMT",
"version": "v4"
},
{
"cr... | 2024-03-29 | [
[
"Abdali",
"Sara",
""
],
[
"shaham",
"Sina",
""
],
[
"Krishnamachari",
"Bhaskar",
""
]
] | As social media platforms are evolving from text-based forums into multi-modal environments, the nature of misinformation in social media is also transforming accordingly. Taking advantage of the fact that visual modalities such as images and videos are more favorable and attractive to the users and textual contents ar... |
2306.10724 | Hamed Hemati | Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth | Partial Hypernetworks for Continual Learning | Accepted to the 2nd Conference on Lifelong Learning Agents (CoLLAs),
2023 | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Hypernetworks mitigate forgetting in continual learning (CL) by generating
task-dependent weights and penalizing weight changes at a meta-model level.
Unfortunately, generating all weights is not only computationally expensive for
larger architectures, but also, it is not well understood whether generating
all model ... | [
{
"created": "Mon, 19 Jun 2023 06:49:10 GMT",
"version": "v1"
}
] | 2023-06-21 | [
[
"Hemati",
"Hamed",
""
],
[
"Lomonaco",
"Vincenzo",
""
],
[
"Bacciu",
"Davide",
""
],
[
"Borth",
"Damian",
""
]
] | Hypernetworks mitigate forgetting in continual learning (CL) by generating task-dependent weights and penalizing weight changes at a meta-model level. Unfortunately, generating all weights is not only computationally expensive for larger architectures, but also, it is not well understood whether generating all model we... |
1202.1458 | Adam Williamson | Adam R. Williamson, Tsung-Yi Chen, and Richard D. Wesel | A Rate-Compatible Sphere-Packing Analysis of Feedback Coding with
Limited Retransmissions | To be published at the 2012 IEEE International Symposium on
Information Theory, Cambridge, MA, USA. Updated to incorporate reviewers'
comments and add new figures | null | 10.1109/ISIT.2012.6284061 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work by Polyanskiy et al. and Chen et al. has excited new interest in
using feedback to approach capacity with low latency. Polyanskiy showed that
feedback identifying the first symbol at which decoding is successful allows
capacity to be approached with surprisingly low latency. This paper uses Chen's
rate-co... | [
{
"created": "Tue, 7 Feb 2012 16:31:54 GMT",
"version": "v1"
},
{
"created": "Mon, 21 May 2012 01:19:20 GMT",
"version": "v2"
}
] | 2016-11-15 | [
[
"Williamson",
"Adam R.",
""
],
[
"Chen",
"Tsung-Yi",
""
],
[
"Wesel",
"Richard D.",
""
]
] | Recent work by Polyanskiy et al. and Chen et al. has excited new interest in using feedback to approach capacity with low latency. Polyanskiy showed that feedback identifying the first symbol at which decoding is successful allows capacity to be approached with surprisingly low latency. This paper uses Chen's rate-comp... |
1803.08634 | Zhifei Mao | Zhifei Mao, Yuming Jiang, Xiaoqiang Di, and Yordanos Woldeyohannes | Joint Head Selection and Airtime Allocation for Data Dissemination in
Mobile Social Networks | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile social networks (MSNs) enable people with similar interests to
interact without Internet access. By forming a temporary group, users can
disseminate their data to other interested users in proximity with short-range
communication technologies. However, due to user mobility, airtime available
for users in the s... | [
{
"created": "Fri, 23 Mar 2018 01:53:34 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Jan 2019 21:51:50 GMT",
"version": "v2"
}
] | 2019-01-10 | [
[
"Mao",
"Zhifei",
""
],
[
"Jiang",
"Yuming",
""
],
[
"Di",
"Xiaoqiang",
""
],
[
"Woldeyohannes",
"Yordanos",
""
]
] | Mobile social networks (MSNs) enable people with similar interests to interact without Internet access. By forming a temporary group, users can disseminate their data to other interested users in proximity with short-range communication technologies. However, due to user mobility, airtime available for users in the sam... |
1709.10237 | Biswadip Dey | Kevin S. Galloway and Biswadip Dey | Beacon-referenced Mutual Pursuit in Three Dimensions | null | null | null | null | cs.SY cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motivated by station-keeping applications in various unmanned settings, this
paper introduces a steering control law for a pair of agents operating in the
vicinity of a fixed beacon in a three-dimensional environment. This feedback
law is a modification of the previously studied three-dimensional constant
bearing (CB... | [
{
"created": "Fri, 29 Sep 2017 04:52:57 GMT",
"version": "v1"
}
] | 2017-10-02 | [
[
"Galloway",
"Kevin S.",
""
],
[
"Dey",
"Biswadip",
""
]
] | Motivated by station-keeping applications in various unmanned settings, this paper introduces a steering control law for a pair of agents operating in the vicinity of a fixed beacon in a three-dimensional environment. This feedback law is a modification of the previously studied three-dimensional constant bearing (CB) ... |
1302.7082 | Meena Kabilan | A.Meena, K.Raja | K Means Segmentation of Alzheimers Disease in PET scan datasets: An
implementation | International Joint Conference on Advances in Signal Processing and
Information Technology, SPIT2012 | LNICST, ISSN:1867 To 8211 pp. 158 To 162, 2012 | null | null | cs.CV cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Positron Emission Tomography (PET) scan image requires expertise in the
segmentation where clustering algorithm plays an important role in the
automation process. The algorithm optimization is concluded based on the
performance, quality and number of clusters extracted. This paper is proposed
to study the commonl... | [
{
"created": "Thu, 28 Feb 2013 04:50:31 GMT",
"version": "v1"
}
] | 2013-03-01 | [
[
"Meena",
"A.",
""
],
[
"Raja",
"K.",
""
]
] | The Positron Emission Tomography (PET) scan image requires expertise in the segmentation where clustering algorithm plays an important role in the automation process. The algorithm optimization is concluded based on the performance, quality and number of clusters extracted. This paper is proposed to study the commonly ... |
2204.12039 | Yuqing Liu | Yuqing Liu, Qi Jia, Jian Zhang, Xin Fan, Shanshe Wang, Siwei Ma, Wen
Gao | Learning Weighting Map for Bit-Depth Expansion within a Rational Range | This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessible | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bit-depth expansion (BDE) is one of the emerging technologies to display high
bit-depth (HBD) image from low bit-depth (LBD) source. Existing BDE methods
have no unified solution for various BDE situations, and directly learn a
mapping for each pixel from LBD image to the desired value in HBD image, which
may change ... | [
{
"created": "Tue, 26 Apr 2022 02:27:39 GMT",
"version": "v1"
}
] | 2022-04-27 | [
[
"Liu",
"Yuqing",
""
],
[
"Jia",
"Qi",
""
],
[
"Zhang",
"Jian",
""
],
[
"Fan",
"Xin",
""
],
[
"Wang",
"Shanshe",
""
],
[
"Ma",
"Siwei",
""
],
[
"Gao",
"Wen",
""
]
] | Bit-depth expansion (BDE) is one of the emerging technologies to display high bit-depth (HBD) image from low bit-depth (LBD) source. Existing BDE methods have no unified solution for various BDE situations, and directly learn a mapping for each pixel from LBD image to the desired value in HBD image, which may change th... |
1006.0386 | Haitham Rashwan | Haitham Rashwan, Ernst M. Gabidulin, Bahram Honary | A Smart Approach for GPT Cryptosystem Based on Rank Codes | 5 pages. to appear in Proceedings of IEEE ISIT2010 | null | 10.1109/ISIT.2010.5513549 | #1223: ISIT 2010 | cs.IT cs.CR math.IT | http://creativecommons.org/licenses/by/3.0/ | The concept of Public- key cryptosystem was innovated by McEliece's
cryptosystem. The public key cryptosystem based on rank codes was presented in
1991 by Gabidulin -Paramonov-Trejtakov(GPT). The use of rank codes in
cryptographic applications is advantageous since it is practically impossible
to utilize combinatoric... | [
{
"created": "Wed, 2 Jun 2010 14:18:25 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Rashwan",
"Haitham",
""
],
[
"Gabidulin",
"Ernst M.",
""
],
[
"Honary",
"Bahram",
""
]
] | The concept of Public- key cryptosystem was innovated by McEliece's cryptosystem. The public key cryptosystem based on rank codes was presented in 1991 by Gabidulin -Paramonov-Trejtakov(GPT). The use of rank codes in cryptographic applications is advantageous since it is practically impossible to utilize combinatoric d... |
2311.10832 | Elaheh Jafarigol | Elaheh Jafarigol, Theodore Trafalis, Talayeh Razzaghi, Mona Zamankhani | Exploring Machine Learning Models for Federated Learning: A Review of
Approaches, Performance, and Limitations | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | In the growing world of artificial intelligence, federated learning is a
distributed learning framework enhanced to preserve the privacy of individuals'
data. Federated learning lays the groundwork for collaborative research in
areas where the data is sensitive. Federated learning has several implications
for real-wo... | [
{
"created": "Fri, 17 Nov 2023 19:23:21 GMT",
"version": "v1"
}
] | 2023-11-21 | [
[
"Jafarigol",
"Elaheh",
""
],
[
"Trafalis",
"Theodore",
""
],
[
"Razzaghi",
"Talayeh",
""
],
[
"Zamankhani",
"Mona",
""
]
] | In the growing world of artificial intelligence, federated learning is a distributed learning framework enhanced to preserve the privacy of individuals' data. Federated learning lays the groundwork for collaborative research in areas where the data is sensitive. Federated learning has several implications for real-worl... |
2207.12710 | Christoffer Loeffler | Christoffer Loeffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern
Eskofier, Christopher John Rozell, Christopher Mutschler | Active Learning of Ordinal Embeddings: A User Study on Football Data | 23 pages, 17 figures | Transactions on Machine Learning Research 04/2023
https://openreview.net/forum?id=oq3tx5kinu | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Humans innately measure distance between instances in an unlabeled dataset
using an unknown similarity function. Distance metrics can only serve as proxy
for similarity in information retrieval of similar instances. Learning a good
similarity function from human annotations improves the quality of retrievals.
This wo... | [
{
"created": "Tue, 26 Jul 2022 07:55:23 GMT",
"version": "v1"
},
{
"created": "Thu, 10 Nov 2022 09:49:18 GMT",
"version": "v2"
}
] | 2023-04-25 | [
[
"Loeffler",
"Christoffer",
""
],
[
"Fallah",
"Kion",
""
],
[
"Fenu",
"Stefano",
""
],
[
"Zanca",
"Dario",
""
],
[
"Eskofier",
"Bjoern",
""
],
[
"Rozell",
"Christopher John",
""
],
[
"Mutschler",
"Christopher",
... | Humans innately measure distance between instances in an unlabeled dataset using an unknown similarity function. Distance metrics can only serve as proxy for similarity in information retrieval of similar instances. Learning a good similarity function from human annotations improves the quality of retrievals. This work... |
1808.07910 | Nicolas Ford | Nicolas Ford, Daniel Duckworth, Mohammad Norouzi, and George E. Dahl | The Importance of Generation Order in Language Modeling | null | null | null | null | cs.LG cs.CL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural language models are a critical component of state-of-the-art systems
for machine translation, summarization, audio transcription, and other tasks.
These language models are almost universally autoregressive in nature,
generating sentences one token at a time from left to right. This paper studies
the influence... | [
{
"created": "Thu, 23 Aug 2018 19:17:24 GMT",
"version": "v1"
}
] | 2018-08-27 | [
[
"Ford",
"Nicolas",
""
],
[
"Duckworth",
"Daniel",
""
],
[
"Norouzi",
"Mohammad",
""
],
[
"Dahl",
"George E.",
""
]
] | Neural language models are a critical component of state-of-the-art systems for machine translation, summarization, audio transcription, and other tasks. These language models are almost universally autoregressive in nature, generating sentences one token at a time from left to right. This paper studies the influence o... |
2007.05906 | Khawar Islam Mr | Khawar Islam, Uzma Afzal | Framework for Passenger Seat Availability Using Face Detection in
Passenger Bus | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Advancements in Intelligent Transportation System (IES) improve passenger
traveling by providing information systems for bus arrival time and counting
the number of passengers and buses in cities. Passengers still face bus waiting
and seat unavailability issues which have adverse effects on traffic management
and con... | [
{
"created": "Sun, 12 Jul 2020 04:31:28 GMT",
"version": "v1"
}
] | 2020-07-14 | [
[
"Islam",
"Khawar",
""
],
[
"Afzal",
"Uzma",
""
]
] | Advancements in Intelligent Transportation System (IES) improve passenger traveling by providing information systems for bus arrival time and counting the number of passengers and buses in cities. Passengers still face bus waiting and seat unavailability issues which have adverse effects on traffic management and contr... |
1205.5055 | Matthew Anderson | Matthew Anderson, Maciej Brodowicz, Hartmut Kaiser, Bryce
Adelstein-Lelbach, and Thomas Sterling | Neutron Star Evolutions using Tabulated Equations of State with a New
Execution Model | 9 pages, 8 figures. arXiv admin note: substantial text overlap with
arXiv:1110.1131 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The addition of nuclear and neutrino physics to general relativistic fluid
codes allows for a more realistic description of hot nuclear matter in neutron
star and black hole systems. This additional microphysics requires that each
processor have access to large tables of data, such as equations of state, and
in large... | [
{
"created": "Tue, 22 May 2012 20:46:11 GMT",
"version": "v1"
}
] | 2012-05-24 | [
[
"Anderson",
"Matthew",
""
],
[
"Brodowicz",
"Maciej",
""
],
[
"Kaiser",
"Hartmut",
""
],
[
"Adelstein-Lelbach",
"Bryce",
""
],
[
"Sterling",
"Thomas",
""
]
] | The addition of nuclear and neutrino physics to general relativistic fluid codes allows for a more realistic description of hot nuclear matter in neutron star and black hole systems. This additional microphysics requires that each processor have access to large tables of data, such as equations of state, and in large s... |
2202.08901 | Anubrata Das | Li Shi, Nilavra Bhattacharya, Anubrata Das, Matthew Lease, Jacek
Gwidzka | The Effects of Interactive AI Design on User Behavior: An Eye-tracking
Study of Fact-checking COVID-19 Claims | null | Published in ACM SIGIR Conference on Human Information Interaction
and Retrieval (CHIIR 2022), March 14 --- 18, 2022, Regensburg, Germany | 10.1145/3498366.3505786 | null | cs.HC cs.CL cs.IR | http://creativecommons.org/licenses/by/4.0/ | We conducted a lab-based eye-tracking study to investigate how the
interactivity of an AI-powered fact-checking system affects user interactions,
such as dwell time, attention, and mental resources involved in using the
system. A within-subject experiment was conducted, where participants used an
interactive and a no... | [
{
"created": "Thu, 17 Feb 2022 21:08:57 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Mar 2022 20:47:34 GMT",
"version": "v2"
}
] | 2022-03-16 | [
[
"Shi",
"Li",
""
],
[
"Bhattacharya",
"Nilavra",
""
],
[
"Das",
"Anubrata",
""
],
[
"Lease",
"Matthew",
""
],
[
"Gwidzka",
"Jacek",
""
]
] | We conducted a lab-based eye-tracking study to investigate how the interactivity of an AI-powered fact-checking system affects user interactions, such as dwell time, attention, and mental resources involved in using the system. A within-subject experiment was conducted, where participants used an interactive and a non-... |
2404.09842 | Tao Wu | Tao Wu, Mengqi Cao, Ziteng Gao, Gangshan Wu, Limin Wang | STMixer: A One-Stage Sparse Action Detector | Extended version of the paper arXiv:2303.15879 presented at CVPR
2023. Accepted by TPAMI 2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Traditional video action detectors typically adopt the two-stage pipeline,
where a person detector is first employed to generate actor boxes and then 3D
RoIAlign is used to extract actor-specific features for classification. This
detection paradigm requires multi-stage training and inference, and the feature
sampling... | [
{
"created": "Mon, 15 Apr 2024 14:52:02 GMT",
"version": "v1"
}
] | 2024-04-16 | [
[
"Wu",
"Tao",
""
],
[
"Cao",
"Mengqi",
""
],
[
"Gao",
"Ziteng",
""
],
[
"Wu",
"Gangshan",
""
],
[
"Wang",
"Limin",
""
]
] | Traditional video action detectors typically adopt the two-stage pipeline, where a person detector is first employed to generate actor boxes and then 3D RoIAlign is used to extract actor-specific features for classification. This detection paradigm requires multi-stage training and inference, and the feature sampling i... |
2209.05243 | Christofer Fellicious | Christofer Fellicious, Stewart Sentanoe, Michael Granitzer, Hans P.
Reiser | SmartKex: Machine Learning Assisted SSH Keys Extraction From The Heap
Dump | null | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Digital forensics is the process of extracting, preserving, and documenting
evidence in digital devices. A commonly used method in digital forensics is to
extract data from the main memory of a digital device. However, the main
challenge is identifying the important data to be extracted. Several pieces of
crucial inf... | [
{
"created": "Mon, 12 Sep 2022 13:36:54 GMT",
"version": "v1"
},
{
"created": "Tue, 13 Sep 2022 08:50:56 GMT",
"version": "v2"
}
] | 2022-09-14 | [
[
"Fellicious",
"Christofer",
""
],
[
"Sentanoe",
"Stewart",
""
],
[
"Granitzer",
"Michael",
""
],
[
"Reiser",
"Hans P.",
""
]
] | Digital forensics is the process of extracting, preserving, and documenting evidence in digital devices. A commonly used method in digital forensics is to extract data from the main memory of a digital device. However, the main challenge is identifying the important data to be extracted. Several pieces of crucial infor... |
1311.2495 | Moritz Hardt | Moritz Hardt and Eric Price | The Noisy Power Method: A Meta Algorithm with Applications | NIPS 2014 | null | null | null | cs.DS cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We provide a new robust convergence analysis of the well-known power method
for computing the dominant singular vectors of a matrix that we call the noisy
power method. Our result characterizes the convergence behavior of the
algorithm when a significant amount noise is introduced after each
matrix-vector multiplicat... | [
{
"created": "Mon, 11 Nov 2013 16:47:25 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Sep 2014 19:17:32 GMT",
"version": "v2"
},
{
"created": "Mon, 8 Dec 2014 21:53:05 GMT",
"version": "v3"
},
{
"created": "Tue, 3 Feb 2015 23:43:37 GMT",
"version": "v4"
}
] | 2015-02-05 | [
[
"Hardt",
"Moritz",
""
],
[
"Price",
"Eric",
""
]
] | We provide a new robust convergence analysis of the well-known power method for computing the dominant singular vectors of a matrix that we call the noisy power method. Our result characterizes the convergence behavior of the algorithm when a significant amount noise is introduced after each matrix-vector multiplicatio... |
1905.08526 | Yukiko Yamauchi | Yukiko Yamauchi and Masafumi Yamashita | Coding theory for noiseless channels realized by anonymous oblivious
mobile robots | null | null | null | null | cs.DC cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose an information transmission scheme by a swarm of anonymous
oblivious mobile robots on a graph. The swarm of robots travel from a sender
vertex to a receiver vertex to transmit a symbol generated at the sender. The
codeword for a symbol is a pair of an initial configuration at the sender and a
set of termin... | [
{
"created": "Tue, 21 May 2019 10:02:49 GMT",
"version": "v1"
}
] | 2019-05-22 | [
[
"Yamauchi",
"Yukiko",
""
],
[
"Yamashita",
"Masafumi",
""
]
] | We propose an information transmission scheme by a swarm of anonymous oblivious mobile robots on a graph. The swarm of robots travel from a sender vertex to a receiver vertex to transmit a symbol generated at the sender. The codeword for a symbol is a pair of an initial configuration at the sender and a set of terminal... |
2406.15888 | Khai Le-Duc | Khai Le-Duc, Khai-Nguyen Nguyen, Long Vo-Dang, Truong-Son Hy | Real-time Speech Summarization for Medical Conversations | Interspeech 2024 | null | null | null | cs.CL cs.AI cs.LG cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | In doctor-patient conversations, identifying medically relevant information
is crucial, posing the need for conversation summarization. In this work, we
propose the first deployable real-time speech summarization system for
real-world applications in industry, which generates a local summary after
every N speech utte... | [
{
"created": "Sat, 22 Jun 2024 16:37:51 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Le-Duc",
"Khai",
""
],
[
"Nguyen",
"Khai-Nguyen",
""
],
[
"Vo-Dang",
"Long",
""
],
[
"Hy",
"Truong-Son",
""
]
] | In doctor-patient conversations, identifying medically relevant information is crucial, posing the need for conversation summarization. In this work, we propose the first deployable real-time speech summarization system for real-world applications in industry, which generates a local summary after every N speech uttera... |
2304.11718 | Ihab Bendidi | Ihab Bendidi, Adrien Bardes, Ethan Cohen, Alexis Lamiable, Guillaume
Bollot, Auguste Genovesio | No Free Lunch in Self Supervised Representation Learning | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Self-supervised representation learning in computer vision relies heavily on
hand-crafted image transformations to learn meaningful and invariant features.
However few extensive explorations of the impact of transformation design have
been conducted in the literature. In particular, the dependence of downstream
perfo... | [
{
"created": "Sun, 23 Apr 2023 18:14:19 GMT",
"version": "v1"
}
] | 2023-04-25 | [
[
"Bendidi",
"Ihab",
""
],
[
"Bardes",
"Adrien",
""
],
[
"Cohen",
"Ethan",
""
],
[
"Lamiable",
"Alexis",
""
],
[
"Bollot",
"Guillaume",
""
],
[
"Genovesio",
"Auguste",
""
]
] | Self-supervised representation learning in computer vision relies heavily on hand-crafted image transformations to learn meaningful and invariant features. However few extensive explorations of the impact of transformation design have been conducted in the literature. In particular, the dependence of downstream perform... |
2107.04683 | Isma\"el Jecker | Isma\"el Jecker, Nicolas Mazzocchi, Petra Wolf | Decomposing Permutation Automata | null | null | null | null | cs.FL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | A deterministic finite automaton (DFA) is composite if its language can be
decomposed into an intersection of languages of smaller DFAs. Otherwise, A is
prime. This notion of primality was introduced by Kupferman and Mosheiff in
2013, and while they proved that we can decide whether a DFA is composite, the
precise co... | [
{
"created": "Fri, 9 Jul 2021 21:20:39 GMT",
"version": "v1"
}
] | 2021-07-13 | [
[
"Jecker",
"Ismaël",
""
],
[
"Mazzocchi",
"Nicolas",
""
],
[
"Wolf",
"Petra",
""
]
] | A deterministic finite automaton (DFA) is composite if its language can be decomposed into an intersection of languages of smaller DFAs. Otherwise, A is prime. This notion of primality was introduced by Kupferman and Mosheiff in 2013, and while they proved that we can decide whether a DFA is composite, the precise comp... |
2104.10319 | Frederico Araujo | Frederico Araujo and Dhilung Kirat and Xiaokui Shu and Teryl Taylor
and Jiyong Jang | Evidential Cyber Threat Hunting | 5 pages, SDM AI4CS 2021 | In Proceedings of the 2021 SIAM AI/ML for Cybersecurity Workshop
(AI4CS) | null | null | cs.CR cs.AI | http://creativecommons.org/licenses/by/4.0/ | A formal cyber reasoning framework for automating the threat hunting process
is described. The new cyber reasoning methodology introduces an operational
semantics that operates over three subspaces -- knowledge, hypothesis, and
action -- to enable human-machine co-creation of threat hypotheses and
protective recommen... | [
{
"created": "Wed, 21 Apr 2021 02:38:29 GMT",
"version": "v1"
}
] | 2021-04-22 | [
[
"Araujo",
"Frederico",
""
],
[
"Kirat",
"Dhilung",
""
],
[
"Shu",
"Xiaokui",
""
],
[
"Taylor",
"Teryl",
""
],
[
"Jang",
"Jiyong",
""
]
] | A formal cyber reasoning framework for automating the threat hunting process is described. The new cyber reasoning methodology introduces an operational semantics that operates over three subspaces -- knowledge, hypothesis, and action -- to enable human-machine co-creation of threat hypotheses and protective recommenda... |
2009.06724 | Mourad Oulghelou | M. Oulghelou, C. Beghein, C. Allery | Data-Driven Optimization Approach for Inverse Problems : Application to
Turbulent Mixed-Convection Flows | null | null | null | null | cs.CE physics.flu-dyn | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Optimal control of turbulent mixed-convection flows has attracted
considerable attention from researchers. Numerical algorithms such as Genetic
Algorithms (GAs) are powerful tools that allow to perform global optimization.
These algorithms are particularly of great interest in complex optimization
problems where cost... | [
{
"created": "Thu, 10 Sep 2020 18:08:18 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Sep 2020 07:38:26 GMT",
"version": "v2"
}
] | 2020-09-25 | [
[
"Oulghelou",
"M.",
""
],
[
"Beghein",
"C.",
""
],
[
"Allery",
"C.",
""
]
] | Optimal control of turbulent mixed-convection flows has attracted considerable attention from researchers. Numerical algorithms such as Genetic Algorithms (GAs) are powerful tools that allow to perform global optimization. These algorithms are particularly of great interest in complex optimization problems where cost f... |
1903.09054 | Dan Wang | Dan Wang, Xu Chen | An Optimal Stable Selective Model Inversion for Nonminimum-phase Systems | We are withdrawing this draft. Some technical issues need resolving | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stably inverting a dynamic system model is the foundation of numerous servo
designs. Existing inversion techniques have provided accurate model
approximations that are often highly effective in feedforward controls.
However, when the inverse is implemented in a feedback system, additional
considerations are needed fo... | [
{
"created": "Thu, 21 Mar 2019 15:24:10 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Nov 2019 19:10:16 GMT",
"version": "v2"
}
] | 2019-11-19 | [
[
"Wang",
"Dan",
""
],
[
"Chen",
"Xu",
""
]
] | Stably inverting a dynamic system model is the foundation of numerous servo designs. Existing inversion techniques have provided accurate model approximations that are often highly effective in feedforward controls. However, when the inverse is implemented in a feedback system, additional considerations are needed for ... |
1808.09729 | Wouter Meulemans | Thom Castermans, Mereke van Garderen, Wouter Meulemans, Martin
N\"ollenburg and Xiaoru Yuan | Short Plane Supports for Spatial Hypergraphs | Appears in the Proceedings of the 26th International Symposium on
Graph Drawing and Network Visualization (GD 2018) | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A graph $G=(V,E)$ is a support of a hypergraph $H=(V,S)$ if every hyperedge
induces a connected subgraph in $G$. Supports are used for certain types of
hypergraph visualizations. In this paper we consider visualizing spatial
hypergraphs, where each vertex has a fixed location in the plane. This is the
case, e.g., whe... | [
{
"created": "Wed, 29 Aug 2018 11:12:55 GMT",
"version": "v1"
}
] | 2018-08-30 | [
[
"Castermans",
"Thom",
""
],
[
"van Garderen",
"Mereke",
""
],
[
"Meulemans",
"Wouter",
""
],
[
"Nöllenburg",
"Martin",
""
],
[
"Yuan",
"Xiaoru",
""
]
] | A graph $G=(V,E)$ is a support of a hypergraph $H=(V,S)$ if every hyperedge induces a connected subgraph in $G$. Supports are used for certain types of hypergraph visualizations. In this paper we consider visualizing spatial hypergraphs, where each vertex has a fixed location in the plane. This is the case, e.g., when ... |
2205.04093 | Abhinav Ramesh Kashyap | Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger
Zimmermann, Soujanya Poria | So Different Yet So Alike! Constrained Unsupervised Text Style Transfer | Accepted to ACL 2022 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Automatic transfer of text between domains has become popular in recent
times. One of its aims is to preserve the semantic content of text being
translated from source to target domain. However, it does not explicitly
maintain other attributes between the source and translated text, for e.g.,
text length and descript... | [
{
"created": "Mon, 9 May 2022 07:46:40 GMT",
"version": "v1"
}
] | 2022-05-10 | [
[
"Kashyap",
"Abhinav Ramesh",
""
],
[
"Hazarika",
"Devamanyu",
""
],
[
"Kan",
"Min-Yen",
""
],
[
"Zimmermann",
"Roger",
""
],
[
"Poria",
"Soujanya",
""
]
] | Automatic transfer of text between domains has become popular in recent times. One of its aims is to preserve the semantic content of text being translated from source to target domain. However, it does not explicitly maintain other attributes between the source and translated text, for e.g., text length and descriptiv... |
2009.08511 | Sudipta Banerjee | Sudipta Banerjee and Arun Ross | Smartphone Camera De-identification while Preserving Biometric Utility | null | Proc. of 10th IEEE International Conference on Biometrics: Theory,
Applications and Systems (BTAS), (Tampa, USA), September 2019 | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by/4.0/ | The principle of Photo Response Non Uniformity (PRNU) is often exploited to
deduce the identity of the smartphone device whose camera or sensor was used to
acquire a certain image. In this work, we design an algorithm that perturbs a
face image acquired using a smartphone camera such that (a) sensor-specific
details ... | [
{
"created": "Thu, 17 Sep 2020 19:48:43 GMT",
"version": "v1"
}
] | 2020-09-21 | [
[
"Banerjee",
"Sudipta",
""
],
[
"Ross",
"Arun",
""
]
] | The principle of Photo Response Non Uniformity (PRNU) is often exploited to deduce the identity of the smartphone device whose camera or sensor was used to acquire a certain image. In this work, we design an algorithm that perturbs a face image acquired using a smartphone camera such that (a) sensor-specific details pe... |
2002.02545 | Lichen Wang | Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu | Contradictory Structure Learning for Semi-supervised Domain Adaptation | 8 pages without citations | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current adversarial adaptation methods attempt to align the cross-domain
features, whereas two challenges remain unsolved: 1) the conditional
distribution mismatch and 2) the bias of the decision boundary towards the
source domain. To solve these challenges, we propose a novel framework for
semi-supervised domain ada... | [
{
"created": "Thu, 6 Feb 2020 22:58:20 GMT",
"version": "v1"
},
{
"created": "Sun, 14 Feb 2021 19:58:09 GMT",
"version": "v2"
}
] | 2021-02-16 | [
[
"Qin",
"Can",
""
],
[
"Wang",
"Lichen",
""
],
[
"Ma",
"Qianqian",
""
],
[
"Yin",
"Yu",
""
],
[
"Wang",
"Huan",
""
],
[
"Fu",
"Yun",
""
]
] | Current adversarial adaptation methods attempt to align the cross-domain features, whereas two challenges remain unsolved: 1) the conditional distribution mismatch and 2) the bias of the decision boundary towards the source domain. To solve these challenges, we propose a novel framework for semi-supervised domain adapt... |
2207.00288 | Miguel Suau | Miguel Suau, Jinke He, Mustafa Mert \c{C}elikok, Matthijs T. J. Spaan,
Frans A. Oliehoek | Distributed Influence-Augmented Local Simulators for Parallel MARL in
Large Networked Systems | null | null | null | null | cs.LG cs.MA | http://creativecommons.org/licenses/by/4.0/ | Due to its high sample complexity, simulation is, as of today, critical for
the successful application of reinforcement learning. Many real-world problems,
however, exhibit overly complex dynamics, which makes their full-scale
simulation computationally slow. In this paper, we show how to decompose large
networked sy... | [
{
"created": "Fri, 1 Jul 2022 09:33:33 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Mar 2024 08:36:33 GMT",
"version": "v2"
}
] | 2024-03-04 | [
[
"Suau",
"Miguel",
""
],
[
"He",
"Jinke",
""
],
[
"Çelikok",
"Mustafa Mert",
""
],
[
"Spaan",
"Matthijs T. J.",
""
],
[
"Oliehoek",
"Frans A.",
""
]
] | Due to its high sample complexity, simulation is, as of today, critical for the successful application of reinforcement learning. Many real-world problems, however, exhibit overly complex dynamics, which makes their full-scale simulation computationally slow. In this paper, we show how to decompose large networked syst... |
1901.02636 | Jianan Zhang | Jianan Zhang, Hyang-Won Lee, Eytan Modiano | On the Robustness of Distributed Computing Networks | International Conference on the Design of Reliable Communication
Networks (DRCN) | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traffic flows in a distributed computing network require both transmission
and processing, and can be interdicted by removing either communication or
computation resources. We study the robustness of a distributed computing
network under the failures of communication links and computation nodes. We
define cut metrics... | [
{
"created": "Wed, 9 Jan 2019 08:38:38 GMT",
"version": "v1"
},
{
"created": "Mon, 14 Jan 2019 10:47:18 GMT",
"version": "v2"
},
{
"created": "Fri, 26 Nov 2021 10:26:06 GMT",
"version": "v3"
}
] | 2021-11-29 | [
[
"Zhang",
"Jianan",
""
],
[
"Lee",
"Hyang-Won",
""
],
[
"Modiano",
"Eytan",
""
]
] | Traffic flows in a distributed computing network require both transmission and processing, and can be interdicted by removing either communication or computation resources. We study the robustness of a distributed computing network under the failures of communication links and computation nodes. We define cut metrics t... |
2107.05563 | Adnan Aijaz | Adnan Aijaz | Infrastructure-less Wireless Connectivity for Mobile Robotic Systems in
Logistics: Why Bluetooth Mesh Networking is Important? | To appear in IEEE ETFA 2021 | null | null | null | cs.RO cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile robots have disrupted the material handling industry which is
witnessing radical changes. The requirement for enhanced automation across
various industry segments often entails mobile robotic systems operating in
logistics facilities with little/no infrastructure. In such environments,
out-of-box low-cost robo... | [
{
"created": "Mon, 12 Jul 2021 16:34:04 GMT",
"version": "v1"
}
] | 2021-07-13 | [
[
"Aijaz",
"Adnan",
""
]
] | Mobile robots have disrupted the material handling industry which is witnessing radical changes. The requirement for enhanced automation across various industry segments often entails mobile robotic systems operating in logistics facilities with little/no infrastructure. In such environments, out-of-box low-cost roboti... |
1711.08191 | Alberto Molinari | Laura Bozzelli, Alberto Molinari, Angelo Montanari, Adriano Peron,
Pietro Sala | Interval vs. Point Temporal Logic Model Checking: an Expressiveness
Comparison | null | ACM Trans. Comput. Logic 20 (2018) 4:1-4:31 | 10.1145/3281028 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the last years, model checking with interval temporal logics is emerging
as a viable alternative to model checking with standard point-based temporal
logics, such as LTL, CTL, CTL*, and the like. The behavior of the system is
modeled by means of (finite) Kripke structures, as usual. However, while
temporal logics ... | [
{
"created": "Wed, 22 Nov 2017 09:33:35 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Sep 2018 14:50:28 GMT",
"version": "v2"
}
] | 2019-02-07 | [
[
"Bozzelli",
"Laura",
""
],
[
"Molinari",
"Alberto",
""
],
[
"Montanari",
"Angelo",
""
],
[
"Peron",
"Adriano",
""
],
[
"Sala",
"Pietro",
""
]
] | In the last years, model checking with interval temporal logics is emerging as a viable alternative to model checking with standard point-based temporal logics, such as LTL, CTL, CTL*, and the like. The behavior of the system is modeled by means of (finite) Kripke structures, as usual. However, while temporal logics wh... |
2306.02317 | Alexandra Antonova | Alexandra Antonova, Evelina Bakhturina, Boris Ginsburg | SpellMapper: A non-autoregressive neural spellchecker for ASR
customization with candidate retrieval based on n-gram mappings | Accepted by INTERSPEECH 2023 | null | null | null | cs.CL cs.AI cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Contextual spelling correction models are an alternative to shallow fusion to
improve automatic speech recognition (ASR) quality given user vocabulary. To
deal with large user vocabularies, most of these models include candidate
retrieval mechanisms, usually based on minimum edit distance between fragments
of ASR hyp... | [
{
"created": "Sun, 4 Jun 2023 10:00:12 GMT",
"version": "v1"
}
] | 2023-06-06 | [
[
"Antonova",
"Alexandra",
""
],
[
"Bakhturina",
"Evelina",
""
],
[
"Ginsburg",
"Boris",
""
]
] | Contextual spelling correction models are an alternative to shallow fusion to improve automatic speech recognition (ASR) quality given user vocabulary. To deal with large user vocabularies, most of these models include candidate retrieval mechanisms, usually based on minimum edit distance between fragments of ASR hypot... |
2301.05499 | Vidit Vidit | Vidit Vidit, Martin Engilberge, Mathieu Salzmann | CLIP the Gap: A Single Domain Generalization Approach for Object
Detection | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Single Domain Generalization (SDG) tackles the problem of training a model on
a single source domain so that it generalizes to any unseen target domain.
While this has been well studied for image classification, the literature on
SDG object detection remains almost non-existent. To address the challenges of
simultane... | [
{
"created": "Fri, 13 Jan 2023 12:01:18 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Mar 2023 13:35:22 GMT",
"version": "v2"
}
] | 2023-03-07 | [
[
"Vidit",
"Vidit",
""
],
[
"Engilberge",
"Martin",
""
],
[
"Salzmann",
"Mathieu",
""
]
] | Single Domain Generalization (SDG) tackles the problem of training a model on a single source domain so that it generalizes to any unseen target domain. While this has been well studied for image classification, the literature on SDG object detection remains almost non-existent. To address the challenges of simultaneou... |
2305.16333 | Zhuangqun Huang | Zhuangqun Huang, Gil Keren, Ziran Jiang, Shashank Jain, David
Goss-Grubbs, Nelson Cheng, Farnaz Abtahi, Duc Le, David Zhang, Antony
D'Avirro, Ethan Campbell-Taylor, Jessie Salas, Irina-Elena Veliche, Xi Chen | Text Generation with Speech Synthesis for ASR Data Augmentation | null | null | null | null | cs.CL cs.AI cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | Aiming at reducing the reliance on expensive human annotations, data
synthesis for Automatic Speech Recognition (ASR) has remained an active area of
research. While prior work mainly focuses on synthetic speech generation for
ASR data augmentation, its combination with text generation methods is
considerably less exp... | [
{
"created": "Mon, 22 May 2023 18:45:20 GMT",
"version": "v1"
}
] | 2023-05-29 | [
[
"Huang",
"Zhuangqun",
""
],
[
"Keren",
"Gil",
""
],
[
"Jiang",
"Ziran",
""
],
[
"Jain",
"Shashank",
""
],
[
"Goss-Grubbs",
"David",
""
],
[
"Cheng",
"Nelson",
""
],
[
"Abtahi",
"Farnaz",
""
],
[
"Le... | Aiming at reducing the reliance on expensive human annotations, data synthesis for Automatic Speech Recognition (ASR) has remained an active area of research. While prior work mainly focuses on synthetic speech generation for ASR data augmentation, its combination with text generation methods is considerably less explo... |
2207.10635 | Connor Wagaman | S\'ilvia Casacuberta, Michael Shoemate, Salil Vadhan, Connor Wagaman | Widespread Underestimation of Sensitivity in Differentially Private
Libraries and How to Fix It | Full version of the paper presented at ACM CCS 2022 and TPDP 2022 | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | We identify a new class of vulnerabilities in implementations of differential
privacy. Specifically, they arise when computing basic statistics such as sums,
thanks to discrepancies between the implemented arithmetic using finite data
types (namely, ints or floats) and idealized arithmetic over the reals or
integers.... | [
{
"created": "Thu, 21 Jul 2022 17:45:25 GMT",
"version": "v1"
},
{
"created": "Thu, 10 Nov 2022 18:51:08 GMT",
"version": "v2"
}
] | 2022-11-11 | [
[
"Casacuberta",
"Sílvia",
""
],
[
"Shoemate",
"Michael",
""
],
[
"Vadhan",
"Salil",
""
],
[
"Wagaman",
"Connor",
""
]
] | We identify a new class of vulnerabilities in implementations of differential privacy. Specifically, they arise when computing basic statistics such as sums, thanks to discrepancies between the implemented arithmetic using finite data types (namely, ints or floats) and idealized arithmetic over the reals or integers. T... |
2001.11819 | Dan Piponi | Dan Piponi, Dave Moore, Joshua V. Dillon | Joint Distributions for TensorFlow Probability | Based on extended abstract submitted to PROBPROG 2020 | null | null | null | cs.PL cs.LG stat.CO stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A central tenet of probabilistic programming is that a model is specified
exactly once in a canonical representation which is usable by inference
algorithms. We describe JointDistributions, a family of declarative
representations of directed graphical models in TensorFlow Probability.
| [
{
"created": "Wed, 22 Jan 2020 01:00:35 GMT",
"version": "v1"
}
] | 2020-02-03 | [
[
"Piponi",
"Dan",
""
],
[
"Moore",
"Dave",
""
],
[
"Dillon",
"Joshua V.",
""
]
] | A central tenet of probabilistic programming is that a model is specified exactly once in a canonical representation which is usable by inference algorithms. We describe JointDistributions, a family of declarative representations of directed graphical models in TensorFlow Probability. |
2103.13267 | Iretiayo Akinola | Iretiayo Akinola, Zizhao Wang, and Peter Allen | CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based
RL | null | null | null | null | cs.RO cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a vision-based reinforcement learning (RL) approach for
closed-loop trajectory generation in an arm reaching problem. Arm trajectory
generation is a fundamental robotics problem which entails finding
collision-free paths to move the robot's body (e.g. arm) in order to satisfy a
goal (e.g. place end-effecto... | [
{
"created": "Wed, 24 Mar 2021 15:33:03 GMT",
"version": "v1"
}
] | 2021-03-25 | [
[
"Akinola",
"Iretiayo",
""
],
[
"Wang",
"Zizhao",
""
],
[
"Allen",
"Peter",
""
]
] | We propose a vision-based reinforcement learning (RL) approach for closed-loop trajectory generation in an arm reaching problem. Arm trajectory generation is a fundamental robotics problem which entails finding collision-free paths to move the robot's body (e.g. arm) in order to satisfy a goal (e.g. place end-effector ... |
2011.08315 | Omid Ardakanian | Omid Hajihassani, Omid Ardakanian, Hamzeh Khazaei | Anonymizing Sensor Data on the Edge: A Representation Learning and
Transformation Approach | 25 pages, 11 figures; Title updated | ACM Transactions on Internet of Things 3 (2022) 1-26 | 10.1145/3485820 | null | cs.LG cs.AI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The abundance of data collected by sensors in Internet of Things (IoT)
devices, and the success of deep neural networks in uncovering hidden patterns
in time series data have led to mounting privacy concerns. This is because
private and sensitive information can be potentially learned from sensor data
by applications... | [
{
"created": "Mon, 16 Nov 2020 22:32:30 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Aug 2021 22:21:43 GMT",
"version": "v2"
},
{
"created": "Fri, 27 Aug 2021 21:11:42 GMT",
"version": "v3"
}
] | 2022-06-02 | [
[
"Hajihassani",
"Omid",
""
],
[
"Ardakanian",
"Omid",
""
],
[
"Khazaei",
"Hamzeh",
""
]
] | The abundance of data collected by sensors in Internet of Things (IoT) devices, and the success of deep neural networks in uncovering hidden patterns in time series data have led to mounting privacy concerns. This is because private and sensitive information can be potentially learned from sensor data by applications t... |
2203.14695 | Daniel Russo | Daniel Russo | Recruiting Software Engineers on Prolific | null | The 1st International Workshop on Recruiting Participants for
Empirical Software Engineering, May 17, 2022, Pittsburgh, PA, USA | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recruiting participants for software engineering research has been a primary
concern of the human factors community. This is particularly true for
quantitative investigations that require a minimum sample size not to be
statistically underpowered. Traditional data collection techniques, such as
mailing lists, are hig... | [
{
"created": "Mon, 28 Mar 2022 12:49:27 GMT",
"version": "v1"
}
] | 2022-03-29 | [
[
"Russo",
"Daniel",
""
]
] | Recruiting participants for software engineering research has been a primary concern of the human factors community. This is particularly true for quantitative investigations that require a minimum sample size not to be statistically underpowered. Traditional data collection techniques, such as mailing lists, are highl... |
2402.15944 | Shuang Li | Gang Li, Qiuwei Li, Shuang Li, and Wu Angela Li | On A Class of Greedy Sparse Recovery Algorithms -- A High Dimensional
Approach | null | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/publicdomain/zero/1.0/ | Sparse signal recovery deals with finding the sparest solution of an
under-determined linear system $x = Qs$. In this paper, we propose a novel
greedy approach to addressing the challenges from such a problem. Such an
approach is based on a characterization of solutions to the system, which
allows us to work on the s... | [
{
"created": "Sun, 25 Feb 2024 01:05:39 GMT",
"version": "v1"
}
] | 2024-02-27 | [
[
"Li",
"Gang",
""
],
[
"Li",
"Qiuwei",
""
],
[
"Li",
"Shuang",
""
],
[
"Li",
"Wu Angela",
""
]
] | Sparse signal recovery deals with finding the sparest solution of an under-determined linear system $x = Qs$. In this paper, we propose a novel greedy approach to addressing the challenges from such a problem. Such an approach is based on a characterization of solutions to the system, which allows us to work on the spa... |
2405.15182 | Peihua Mai | Peihua Mai, Ran Yan, Yan Pang | RFLPA: A Robust Federated Learning Framework against Poisoning Attacks
with Secure Aggregation | 22 pages | null | null | null | cs.CR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated learning (FL) allows multiple devices to train a model
collaboratively without sharing their data. Despite its benefits, FL is
vulnerable to privacy leakage and poisoning attacks. To address the privacy
concern, secure aggregation (SecAgg) is often used to obtain the aggregation of
gradients on sever withou... | [
{
"created": "Fri, 24 May 2024 03:31:10 GMT",
"version": "v1"
}
] | 2024-05-27 | [
[
"Mai",
"Peihua",
""
],
[
"Yan",
"Ran",
""
],
[
"Pang",
"Yan",
""
]
] | Federated learning (FL) allows multiple devices to train a model collaboratively without sharing their data. Despite its benefits, FL is vulnerable to privacy leakage and poisoning attacks. To address the privacy concern, secure aggregation (SecAgg) is often used to obtain the aggregation of gradients on sever without ... |
1909.06344 | Paul Emmerich | Paul Emmerich, Simon Ellmann, Fabian Bonk, Alex Egger, Esa\'u Garc\'ia
S\'anchez-Torija, Thomas G\"unzel, Sebastian Di Luzio, Alexandru Obada,
Maximilian Stadlmeier, Sebastian Voit, Georg Carle | The Case for Writing Network Drivers in High-Level Programming Languages | null | ACM/IEEE Symposium on Architectures for Networking and
Communications Systems (ANCS 2019), 2019 | null | null | cs.NI cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Drivers are written in C or restricted subsets of C++ on all production-grade
server, desktop, and mobile operating systems. They account for 66% of the code
in Linux, but 39 out of 40 security bugs related to memory safety found in
Linux in 2017 are located in drivers. These bugs could have been prevented by
using h... | [
{
"created": "Fri, 13 Sep 2019 17:41:43 GMT",
"version": "v1"
}
] | 2019-09-16 | [
[
"Emmerich",
"Paul",
""
],
[
"Ellmann",
"Simon",
""
],
[
"Bonk",
"Fabian",
""
],
[
"Egger",
"Alex",
""
],
[
"Sánchez-Torija",
"Esaú García",
""
],
[
"Günzel",
"Thomas",
""
],
[
"Di Luzio",
"Sebastian",
""
... | Drivers are written in C or restricted subsets of C++ on all production-grade server, desktop, and mobile operating systems. They account for 66% of the code in Linux, but 39 out of 40 security bugs related to memory safety found in Linux in 2017 are located in drivers. These bugs could have been prevented by using hig... |
1604.04772 | Thejaka Kanewala | Thejaka Amila Kanewala, Marcin Zalewski and Andrew Lumsdaine | Abstract Graph Machine | 10 pages, including Appendix and References | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An Abstract Graph Machine(AGM) is an abstract model for distributed memory
parallel stabilizing graph algorithms. A stabilizing algorithm starts from a
particular initial state and goes through series of different state changes
until it converges. The AGM adds work dependency to the stabilizing algorithm.
The work is... | [
{
"created": "Sat, 16 Apr 2016 16:26:29 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Apr 2016 19:13:02 GMT",
"version": "v2"
}
] | 2016-04-29 | [
[
"Kanewala",
"Thejaka Amila",
""
],
[
"Zalewski",
"Marcin",
""
],
[
"Lumsdaine",
"Andrew",
""
]
] | An Abstract Graph Machine(AGM) is an abstract model for distributed memory parallel stabilizing graph algorithms. A stabilizing algorithm starts from a particular initial state and goes through series of different state changes until it converges. The AGM adds work dependency to the stabilizing algorithm. The work is p... |
2408.02623 | Duc Manh Nguyen Dang | Duc Manh Nguyen Dang, Viet Hang Duong, Jia Ching Wang, Nhan Bui Duc | YOWOv3: An Efficient and Generalized Framework for Human Action
Detection and Recognition | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose a new framework called YOWOv3, which is an improved
version of YOWOv2, designed specifically for the task of Human Action Detection
and Recognition. This framework is designed to facilitate extensive
experimentation with different configurations and supports easy customization
of various com... | [
{
"created": "Mon, 5 Aug 2024 16:48:03 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Aug 2024 00:17:51 GMT",
"version": "v2"
}
] | 2024-08-12 | [
[
"Dang",
"Duc Manh Nguyen",
""
],
[
"Duong",
"Viet Hang",
""
],
[
"Wang",
"Jia Ching",
""
],
[
"Duc",
"Nhan Bui",
""
]
] | In this paper, we propose a new framework called YOWOv3, which is an improved version of YOWOv2, designed specifically for the task of Human Action Detection and Recognition. This framework is designed to facilitate extensive experimentation with different configurations and supports easy customization of various compo... |
2209.07529 | Haeyong Kang | Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju
Hwang, Chang D. Yoo | On the Soft-Subnetwork for Few-shot Class Incremental Learning | The Eleventh International Conference on Learning Representations
(ICLR, 2023) | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Inspired by Regularized Lottery Ticket Hypothesis (RLTH), which hypothesizes
that there exist smooth (non-binary) subnetworks within a dense network that
achieve the competitive performance of the dense network, we propose a few-shot
class incremental learning (FSCIL) method referred to as \emph{Soft-SubNetworks
(Sof... | [
{
"created": "Thu, 15 Sep 2022 04:54:02 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Mar 2023 12:21:06 GMT",
"version": "v2"
}
] | 2023-03-02 | [
[
"Kang",
"Haeyong",
""
],
[
"Yoon",
"Jaehong",
""
],
[
"Madjid",
"Sultan Rizky Hikmawan",
""
],
[
"Hwang",
"Sung Ju",
""
],
[
"Yoo",
"Chang D.",
""
]
] | Inspired by Regularized Lottery Ticket Hypothesis (RLTH), which hypothesizes that there exist smooth (non-binary) subnetworks within a dense network that achieve the competitive performance of the dense network, we propose a few-shot class incremental learning (FSCIL) method referred to as \emph{Soft-SubNetworks (SoftN... |
2212.02997 | Evangelos Ververas | Evangelos Ververas, Polydefkis Gkagkos, Jiankang Deng, Michail
Christos Doukas, Jia Guo, Stefanos Zafeiriou | 3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from
Synthetic Views | 17 pages, 13 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Developing gaze estimation models that generalize well to unseen domains and
in-the-wild conditions remains a challenge with no known best solution. This is
mostly due to the difficulty of acquiring ground truth data that cover the
distribution of faces, head poses, and environments that exist in the real
world. Most... | [
{
"created": "Tue, 6 Dec 2022 14:15:17 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Mar 2023 15:57:15 GMT",
"version": "v2"
},
{
"created": "Tue, 12 Dec 2023 13:39:34 GMT",
"version": "v3"
}
] | 2023-12-15 | [
[
"Ververas",
"Evangelos",
""
],
[
"Gkagkos",
"Polydefkis",
""
],
[
"Deng",
"Jiankang",
""
],
[
"Doukas",
"Michail Christos",
""
],
[
"Guo",
"Jia",
""
],
[
"Zafeiriou",
"Stefanos",
""
]
] | Developing gaze estimation models that generalize well to unseen domains and in-the-wild conditions remains a challenge with no known best solution. This is mostly due to the difficulty of acquiring ground truth data that cover the distribution of faces, head poses, and environments that exist in the real world. Most r... |
2010.08056 | Yudi Dong | Yudi Dong and Yu-Dong Yao | IoT Platform for COVID-19 Prevention and Control: A Survey | 12 pages; Submitted to IEEE Internet of Things Journal | IEEE Access 2021 | 10.1109/ACCESS.2021.3068276 | null | cs.HC cs.AI cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As a result of the worldwide transmission of severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), coronavirus disease 2019 (COVID-19) has
evolved into an unprecedented pandemic. Currently, with unavailable
pharmaceutical treatments and vaccines, this novel coronavirus results in a
great impact on public heal... | [
{
"created": "Thu, 15 Oct 2020 22:43:03 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Oct 2020 18:04:14 GMT",
"version": "v2"
}
] | 2021-03-26 | [
[
"Dong",
"Yudi",
""
],
[
"Yao",
"Yu-Dong",
""
]
] | As a result of the worldwide transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), coronavirus disease 2019 (COVID-19) has evolved into an unprecedented pandemic. Currently, with unavailable pharmaceutical treatments and vaccines, this novel coronavirus results in a great impact on public health... |
2003.05746 | Camille Bourgaux | Meghyn Bienvenu and Camille Bourgaux | Querying and Repairing Inconsistent Prioritized Knowledge Bases:
Complexity Analysis and Links with Abstract Argumentation | This is an extended version of a paper appearing at the 17th
International Conference on Principles of Knowledge Representation and
Reasoning (KR 2020). This version corrects the statement of Theorem 43
(missing hypothesis). 27 pages | null | null | null | cs.LO cs.AI cs.DB | http://creativecommons.org/licenses/by/4.0/ | In this paper, we explore the issue of inconsistency handling over
prioritized knowledge bases (KBs), which consist of an ontology, a set of
facts, and a priority relation between conflicting facts. In the database
setting, a closely related scenario has been studied and led to the definition
of three different notio... | [
{
"created": "Thu, 12 Mar 2020 12:38:37 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jun 2020 16:15:30 GMT",
"version": "v2"
},
{
"created": "Fri, 7 Jun 2024 06:42:55 GMT",
"version": "v3"
}
] | 2024-06-10 | [
[
"Bienvenu",
"Meghyn",
""
],
[
"Bourgaux",
"Camille",
""
]
] | In this paper, we explore the issue of inconsistency handling over prioritized knowledge bases (KBs), which consist of an ontology, a set of facts, and a priority relation between conflicting facts. In the database setting, a closely related scenario has been studied and led to the definition of three different notions... |
2403.00157 | Ziqin Chen | Ziqin Chen and Yongqiang Wang | Privacy-Preserving Distributed Optimization and Learning | Accepted as a chapter in the Encyclopedia of Systems and Control
Engineering published by Elsevier | null | null | null | cs.LG cs.CR cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distributed optimization and learning has recently garnered great attention
due to its wide applications in sensor networks, smart grids, machine learning,
and so forth. Despite rapid development, existing distributed optimization and
learning algorithms require each agent to exchange messages with its neighbors,
whi... | [
{
"created": "Thu, 29 Feb 2024 22:18:05 GMT",
"version": "v1"
}
] | 2024-03-04 | [
[
"Chen",
"Ziqin",
""
],
[
"Wang",
"Yongqiang",
""
]
] | Distributed optimization and learning has recently garnered great attention due to its wide applications in sensor networks, smart grids, machine learning, and so forth. Despite rapid development, existing distributed optimization and learning algorithms require each agent to exchange messages with its neighbors, which... |
2305.16793 | Xikun Jiang | Xikun Jiang, Chenhao Ying, Lei Li, Boris D\"udder, Haiqin Wu, Haiming
Jin and Yuan Luo | Incentive Mechanism for Uncertain Tasks under Differential Privacy | null | null | null | null | cs.GT cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile crowd sensing (MCS) has emerged as an increasingly popular sensing
paradigm due to its cost-effectiveness. This approach relies on platforms to
outsource tasks to participating workers when prompted by task publishers.
Although incentive mechanisms have been devised to foster widespread
participation in MCS, m... | [
{
"created": "Fri, 26 May 2023 10:15:02 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Mar 2024 15:16:51 GMT",
"version": "v2"
}
] | 2024-03-07 | [
[
"Jiang",
"Xikun",
""
],
[
"Ying",
"Chenhao",
""
],
[
"Li",
"Lei",
""
],
[
"Düdder",
"Boris",
""
],
[
"Wu",
"Haiqin",
""
],
[
"Jin",
"Haiming",
""
],
[
"Luo",
"Yuan",
""
]
] | Mobile crowd sensing (MCS) has emerged as an increasingly popular sensing paradigm due to its cost-effectiveness. This approach relies on platforms to outsource tasks to participating workers when prompted by task publishers. Although incentive mechanisms have been devised to foster widespread participation in MCS, mos... |
2007.00211 | Marc Law | Marc T. Law and Jos Stam | Ultrahyperbolic Representation Learning | NeurIPS 2020 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In machine learning, data is usually represented in a (flat) Euclidean space
where distances between points are along straight lines. Researchers have
recently considered more exotic (non-Euclidean) Riemannian manifolds such as
hyperbolic space which is well suited for tree-like data. In this paper, we
propose a repr... | [
{
"created": "Wed, 1 Jul 2020 03:49:24 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Oct 2020 15:15:44 GMT",
"version": "v2"
},
{
"created": "Mon, 26 Oct 2020 15:56:04 GMT",
"version": "v3"
},
{
"created": "Wed, 28 Oct 2020 14:10:44 GMT",
"version": "v4"
},
{
"cr... | 2021-01-12 | [
[
"Law",
"Marc T.",
""
],
[
"Stam",
"Jos",
""
]
] | In machine learning, data is usually represented in a (flat) Euclidean space where distances between points are along straight lines. Researchers have recently considered more exotic (non-Euclidean) Riemannian manifolds such as hyperbolic space which is well suited for tree-like data. In this paper, we propose a repres... |
1404.5828 | Dimitra Panagou | Dimitra Panagou | Motion planning and Collision Avoidance using Non-Gradient Vector
Fields. Technical Report | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a novel feedback method on the motion planning for
unicycle robots in environments with static obstacles, along with an extension
to the distributed planning and coordination in multi-robot systems. The method
employs a family of 2-dimensional analytic vector fields, whose integral curves
exhibit ... | [
{
"created": "Wed, 23 Apr 2014 14:12:36 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Apr 2014 15:55:14 GMT",
"version": "v2"
},
{
"created": "Mon, 13 Oct 2014 20:55:13 GMT",
"version": "v3"
}
] | 2014-10-22 | [
[
"Panagou",
"Dimitra",
""
]
] | This paper presents a novel feedback method on the motion planning for unicycle robots in environments with static obstacles, along with an extension to the distributed planning and coordination in multi-robot systems. The method employs a family of 2-dimensional analytic vector fields, whose integral curves exhibit va... |
2210.05714 | Chenguang Huang | Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard | Visual Language Maps for Robot Navigation | Accepted at the 2023 IEEE International Conference on Robotics and
Automation (ICRA). Project page: https://vlmaps.github.io | null | null | null | cs.RO cs.AI cs.CL cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Grounding language to the visual observations of a navigating agent can be
performed using off-the-shelf visual-language models pretrained on
Internet-scale data (e.g., image captions). While this is useful for matching
images to natural language descriptions of object goals, it remains disjoint
from the process of m... | [
{
"created": "Tue, 11 Oct 2022 18:13:20 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Oct 2022 09:37:38 GMT",
"version": "v2"
},
{
"created": "Mon, 17 Oct 2022 14:46:08 GMT",
"version": "v3"
},
{
"created": "Wed, 8 Mar 2023 10:30:41 GMT",
"version": "v4"
}
] | 2023-03-09 | [
[
"Huang",
"Chenguang",
""
],
[
"Mees",
"Oier",
""
],
[
"Zeng",
"Andy",
""
],
[
"Burgard",
"Wolfram",
""
]
] | Grounding language to the visual observations of a navigating agent can be performed using off-the-shelf visual-language models pretrained on Internet-scale data (e.g., image captions). While this is useful for matching images to natural language descriptions of object goals, it remains disjoint from the process of map... |
2405.13238 | Peng Liu | Peng Liu, Nian Wang, Cong Xu, Ming Zhao, Bin Wang, Yi Ren | Enhancing User Interest based on Stream Clustering and Memory Networks
in Large-Scale Recommender Systems | null | null | null | null | cs.IR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recommender Systems (RSs) provide personalized recommendation service based
on user interest, which are widely used in various platforms. However, there
are lots of users with sparse interest due to lacking consumption behaviors,
which leads to poor recommendation results for them. This problem is widespread
in large... | [
{
"created": "Tue, 21 May 2024 22:53:00 GMT",
"version": "v1"
},
{
"created": "Sun, 26 May 2024 23:18:53 GMT",
"version": "v2"
}
] | 2024-05-28 | [
[
"Liu",
"Peng",
""
],
[
"Wang",
"Nian",
""
],
[
"Xu",
"Cong",
""
],
[
"Zhao",
"Ming",
""
],
[
"Wang",
"Bin",
""
],
[
"Ren",
"Yi",
""
]
] | Recommender Systems (RSs) provide personalized recommendation service based on user interest, which are widely used in various platforms. However, there are lots of users with sparse interest due to lacking consumption behaviors, which leads to poor recommendation results for them. This problem is widespread in large-s... |
1804.04076 | Faraz Saeedan | Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth | Detail-Preserving Pooling in Deep Networks | To appear at CVPR 2018 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most convolutional neural networks use some method for gradually downscaling
the size of the hidden layers. This is commonly referred to as pooling, and is
applied to reduce the number of parameters, improve invariance to certain
distortions, and increase the receptive field size. Since pooling by nature is
a lossy p... | [
{
"created": "Wed, 11 Apr 2018 16:28:11 GMT",
"version": "v1"
}
] | 2018-04-13 | [
[
"Saeedan",
"Faraz",
""
],
[
"Weber",
"Nicolas",
""
],
[
"Goesele",
"Michael",
""
],
[
"Roth",
"Stefan",
""
]
] | Most convolutional neural networks use some method for gradually downscaling the size of the hidden layers. This is commonly referred to as pooling, and is applied to reduce the number of parameters, improve invariance to certain distortions, and increase the receptive field size. Since pooling by nature is a lossy pro... |
2310.19124 | Theodoros Plessas | Evangelia Panourgia (Athens University of Economics and Business),
Theodoros Plessas (Athens University of Economics and Business), Ilias
Balampanis (Athens University of Economics and Business), Diomidis Spinellis
(Athens University of Economics and Business, Delft University of Technology) | Good Tools are Half the Work: Tool Usage in Deep Learning Projects | null | null | null | null | cs.SE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rising popularity of deep learning (DL) methods and techniques has
invigorated interest in the topic of SE4DL (Software Engineering for Deep
Learning), the application of software engineering (SE) practices on deep
learning software. Despite the novel engineering challenges brought on by the
data-driven and non-d... | [
{
"created": "Sun, 29 Oct 2023 19:21:33 GMT",
"version": "v1"
},
{
"created": "Tue, 28 May 2024 16:13:22 GMT",
"version": "v2"
}
] | 2024-05-29 | [
[
"Panourgia",
"Evangelia",
"",
"Athens University of Economics and Business"
],
[
"Plessas",
"Theodoros",
"",
"Athens University of Economics and Business"
],
[
"Balampanis",
"Ilias",
"",
"Athens University of Economics and Business"
],
[
"Spinellis",... | The rising popularity of deep learning (DL) methods and techniques has invigorated interest in the topic of SE4DL (Software Engineering for Deep Learning), the application of software engineering (SE) practices on deep learning software. Despite the novel engineering challenges brought on by the data-driven and non-det... |
2408.08258 | Hossein Jafarinia | Hossein Jafarinia, Alireza Alipanah, Danial Hamdi, Saeed Razavi, Nahal
Mirzaie, Mohammad Hossein Rohban | Snuffy: Efficient Whole Slide Image Classifier | Accepted for ECCV 2024 | null | null | null | cs.CV cs.AI cs.LG cs.NE eess.IV | http://creativecommons.org/licenses/by/4.0/ | Whole Slide Image (WSI) classification with multiple instance learning (MIL)
in digital pathology faces significant computational challenges. Current
methods mostly rely on extensive self-supervised learning (SSL) for
satisfactory performance, requiring long training periods and considerable
computational resources. ... | [
{
"created": "Thu, 15 Aug 2024 16:59:15 GMT",
"version": "v1"
}
] | 2024-08-16 | [
[
"Jafarinia",
"Hossein",
""
],
[
"Alipanah",
"Alireza",
""
],
[
"Hamdi",
"Danial",
""
],
[
"Razavi",
"Saeed",
""
],
[
"Mirzaie",
"Nahal",
""
],
[
"Rohban",
"Mohammad Hossein",
""
]
] | Whole Slide Image (WSI) classification with multiple instance learning (MIL) in digital pathology faces significant computational challenges. Current methods mostly rely on extensive self-supervised learning (SSL) for satisfactory performance, requiring long training periods and considerable computational resources. At... |
2209.00650 | Fran\c{c}ois Renaville | Fran\c{c}ois Renaville, Fabienne Prosmans, Isabelle Gilles | Analyse fonctionnelle de l'outil de gestion de planning LibStaffer | 17 pages, in French | Cahiers de la Documentation (2022)1/2, 6-17 | null | null | cs.HC | http://creativecommons.org/licenses/by-sa/4.0/ | LibStaffer is a staff scheduling tool for libraries provided by Springshare.
In this article, we present the analysis that we implemented to determine the
potential of LibStaffer in order to simplify staff scheduling in library
branches with various configurations, as well as in transversal units with a
focus on publ... | [
{
"created": "Tue, 30 Aug 2022 06:39:24 GMT",
"version": "v1"
}
] | 2022-09-05 | [
[
"Renaville",
"François",
""
],
[
"Prosmans",
"Fabienne",
""
],
[
"Gilles",
"Isabelle",
""
]
] | LibStaffer is a staff scheduling tool for libraries provided by Springshare. In this article, we present the analysis that we implemented to determine the potential of LibStaffer in order to simplify staff scheduling in library branches with various configurations, as well as in transversal units with a focus on public... |
1901.06637 | Bin Li | Bin Li, Zesong Fei, and Yan Zhang | UAV Communications for 5G and Beyond: Recent Advances and Future Trends | 53 pages, 9 figures | null | 10.1109/JIOT.2018.2887086 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Providing ubiquitous connectivity to diverse device types is the key
challenge for 5G and beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are
expected to be an important component of the upcoming wireless networks that
can potentially facilitate wireless broadcast and support high rate
transmissions. Compared to the... | [
{
"created": "Sun, 20 Jan 2019 07:53:08 GMT",
"version": "v1"
}
] | 2019-01-23 | [
[
"Li",
"Bin",
""
],
[
"Fei",
"Zesong",
""
],
[
"Zhang",
"Yan",
""
]
] | Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important component of the upcoming wireless networks that can potentially facilitate wireless broadcast and support high rate transmissions. Compared to the c... |
1912.06986 | Ziyi Wang | Ziyi Wang, Zhaohao Wang, Yansong Xu, Bi Wu, and Weisheng Zhao | Erase-hidden and Drivability-improved Magnetic Non-Volatile Flip-Flops
with NAND-SPIN Devices | This article has been accepted in a future issue of IEEE Transactions
on Nanotechnology: Regular Papers | null | 10.1109/TNANO.2020.2999751 | null | cs.ET eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Non-volatile flip-flops (NVFFs) using power gating techniques promise to
overcome the soaring leakage power consumption issue with the scaling of CMOS
technology. Magnetic tunnel junction (MTJ) is a good candidate for constructing
the NVFF thanks to its low power, high speed, good CMOS compatibility, etc. In
this pap... | [
{
"created": "Sun, 15 Dec 2019 05:59:33 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Jun 2020 03:17:51 GMT",
"version": "v2"
}
] | 2020-07-15 | [
[
"Wang",
"Ziyi",
""
],
[
"Wang",
"Zhaohao",
""
],
[
"Xu",
"Yansong",
""
],
[
"Wu",
"Bi",
""
],
[
"Zhao",
"Weisheng",
""
]
] | Non-volatile flip-flops (NVFFs) using power gating techniques promise to overcome the soaring leakage power consumption issue with the scaling of CMOS technology. Magnetic tunnel junction (MTJ) is a good candidate for constructing the NVFF thanks to its low power, high speed, good CMOS compatibility, etc. In this paper... |
1008.3845 | Kalyana Babu Nakshatrala | S. Srinivasan and K. B. Nakshatrala | A stabilized mixed formulation for unsteady Brinkman equation based on
the method of horizontal lines | null | null | null | null | cs.NA math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a stabilized mixed formulation for unsteady
Brinkman equation. The formulation is systematically derived based on the
variational multiscale formalism and the method of horizontal lines. The
derivation does not need the assumption that the fine-scale variables do not
depend on the time, whic... | [
{
"created": "Thu, 15 Jul 2010 21:47:04 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Nov 2010 06:18:59 GMT",
"version": "v2"
}
] | 2010-12-01 | [
[
"Srinivasan",
"S.",
""
],
[
"Nakshatrala",
"K. B.",
""
]
] | In this paper, we present a stabilized mixed formulation for unsteady Brinkman equation. The formulation is systematically derived based on the variational multiscale formalism and the method of horizontal lines. The derivation does not need the assumption that the fine-scale variables do not depend on the time, which ... |
2206.08918 | Nikos Zarifis | Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis | Learning a Single Neuron with Adversarial Label Noise via Gradient
Descent | null | null | null | null | cs.LG cs.DS math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the fundamental problem of learning a single neuron, i.e., a
function of the form $\mathbf{x}\mapsto\sigma(\mathbf{w}\cdot\mathbf{x})$ for
monotone activations $\sigma:\mathbb{R}\mapsto\mathbb{R}$, with respect to the
$L_2^2$-loss in the presence of adversarial label noise. Specifically, we are
given labeled... | [
{
"created": "Fri, 17 Jun 2022 17:55:43 GMT",
"version": "v1"
}
] | 2022-06-20 | [
[
"Diakonikolas",
"Ilias",
""
],
[
"Kontonis",
"Vasilis",
""
],
[
"Tzamos",
"Christos",
""
],
[
"Zarifis",
"Nikos",
""
]
] | We study the fundamental problem of learning a single neuron, i.e., a function of the form $\mathbf{x}\mapsto\sigma(\mathbf{w}\cdot\mathbf{x})$ for monotone activations $\sigma:\mathbb{R}\mapsto\mathbb{R}$, with respect to the $L_2^2$-loss in the presence of adversarial label noise. Specifically, we are given labeled e... |
1906.05015 | Ming Zhu | Ming Zhu, Xiao-Yang Liu, and Anwar Walid | Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted
Vehicular Networks | 28 pages | null | null | null | cs.LG cs.AI cs.RO cs.SY eess.SY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G
communication infrastructure in future smart cities. Hot spots easily appear in
road intersections, where effective communication among vehicles is
challenging. UAVs may serve as relays with the advantages of low price, easy
deployment, line-of-sight... | [
{
"created": "Wed, 12 Jun 2019 09:12:50 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Mar 2020 02:18:20 GMT",
"version": "v10"
},
{
"created": "Sat, 11 Feb 2023 10:54:11 GMT",
"version": "v11"
},
{
"created": "Tue, 14 Feb 2023 11:53:43 GMT",
"version": "v12"
},
{
... | 2023-02-22 | [
[
"Zhu",
"Ming",
""
],
[
"Liu",
"Xiao-Yang",
""
],
[
"Walid",
"Anwar",
""
]
] | Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G communication infrastructure in future smart cities. Hot spots easily appear in road intersections, where effective communication among vehicles is challenging. UAVs may serve as relays with the advantages of low price, easy deployment, line-of-sight l... |
1912.06119 | Caglar Tunc | Caglar Tunc and Shivendra Panwar | Optimal Transmission Policies for Energy Harvesting Age of Information
Systems with Battery Recovery | Submitted for publication | null | null | null | cs.IT cs.NI eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider an energy harvesting information update system where a sensor is
allowed to choose a transmission mode for each transmission, where each mode
consists of a transmission power-error pair. We also incorporate the battery
phenomenon called battery recovery effect where a battery replenishes the
deliverable e... | [
{
"created": "Thu, 12 Dec 2019 18:34:17 GMT",
"version": "v1"
}
] | 2019-12-13 | [
[
"Tunc",
"Caglar",
""
],
[
"Panwar",
"Shivendra",
""
]
] | We consider an energy harvesting information update system where a sensor is allowed to choose a transmission mode for each transmission, where each mode consists of a transmission power-error pair. We also incorporate the battery phenomenon called battery recovery effect where a battery replenishes the deliverable ene... |
cs/0007038 | Konstantinos Georgatos | Konstantinos Georgatos | Modal Logics for Topological Spaces | 25 pages, extened abstract of PHD Dissertation | null | null | null | cs.LO cs.AI | null | In this thesis we shall present two logical systems, MP and MP, for the
purpose of reasoning about knowledge and effort. These logical systems will be
interpreted in a spatial context and therefore, the abstract concepts of
knowledge and effort will be defined by concrete mathematical concepts.
| [
{
"created": "Wed, 26 Jul 2000 18:41:17 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Georgatos",
"Konstantinos",
""
]
] | In this thesis we shall present two logical systems, MP and MP, for the purpose of reasoning about knowledge and effort. These logical systems will be interpreted in a spatial context and therefore, the abstract concepts of knowledge and effort will be defined by concrete mathematical concepts. |
2202.10450 | Ignacio Carlucho | Reuth Mirsky and Ignacio Carlucho and Arrasy Rahman and Elliot Fosong
and William Macke and Mohan Sridharan and Peter Stone and Stefano V. Albrecht | A Survey of Ad Hoc Teamwork Research | European Conference on Multi-Agent Systems (EUMAS), 2022 | null | null | null | cs.MA cs.AI | http://creativecommons.org/licenses/by/4.0/ | Ad hoc teamwork is the research problem of designing agents that can
collaborate with new teammates without prior coordination. This survey makes a
two-fold contribution: First, it provides a structured description of the
different facets of the ad hoc teamwork problem. Second, it discusses the
progress that has been... | [
{
"created": "Wed, 16 Feb 2022 18:16:27 GMT",
"version": "v1"
},
{
"created": "Mon, 15 Aug 2022 11:09:23 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Aug 2022 16:40:01 GMT",
"version": "v3"
}
] | 2022-08-17 | [
[
"Mirsky",
"Reuth",
""
],
[
"Carlucho",
"Ignacio",
""
],
[
"Rahman",
"Arrasy",
""
],
[
"Fosong",
"Elliot",
""
],
[
"Macke",
"William",
""
],
[
"Sridharan",
"Mohan",
""
],
[
"Stone",
"Peter",
""
],
[
... | Ad hoc teamwork is the research problem of designing agents that can collaborate with new teammates without prior coordination. This survey makes a two-fold contribution: First, it provides a structured description of the different facets of the ad hoc teamwork problem. Second, it discusses the progress that has been m... |
2210.04883 | Nicolas Dufour | Nicolas Dufour, David Picard, Vicky Kalogeiton | SCAM! Transferring humans between images with Semantic Cross Attention
Modulation | Accepted at ECCV 2022 | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A large body of recent work targets semantically conditioned image
generation. Most such methods focus on the narrower task of pose transfer and
ignore the more challenging task of subject transfer that consists in not only
transferring the pose but also the appearance and background. In this work, we
introduce SCAM ... | [
{
"created": "Mon, 10 Oct 2022 17:54:47 GMT",
"version": "v1"
}
] | 2022-10-11 | [
[
"Dufour",
"Nicolas",
""
],
[
"Picard",
"David",
""
],
[
"Kalogeiton",
"Vicky",
""
]
] | A large body of recent work targets semantically conditioned image generation. Most such methods focus on the narrower task of pose transfer and ignore the more challenging task of subject transfer that consists in not only transferring the pose but also the appearance and background. In this work, we introduce SCAM (S... |
2407.10114 | Roni Goldshmidt | Roni Goldshmidt, Miriam Horovicz | TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley
Value Estimation | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | As large language models (LLMs) become increasingly prevalent in critical
applications, the need for interpretable AI has grown. We introduce TokenSHAP,
a novel method for interpreting LLMs by attributing importance to individual
tokens or substrings within input prompts. This approach adapts Shapley values
from coop... | [
{
"created": "Sun, 14 Jul 2024 08:07:50 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Jul 2024 08:59:07 GMT",
"version": "v2"
}
] | 2024-07-23 | [
[
"Goldshmidt",
"Roni",
""
],
[
"Horovicz",
"Miriam",
""
]
] | As large language models (LLMs) become increasingly prevalent in critical applications, the need for interpretable AI has grown. We introduce TokenSHAP, a novel method for interpreting LLMs by attributing importance to individual tokens or substrings within input prompts. This approach adapts Shapley values from cooper... |
1104.3469 | Yoo Chung | Yoo Chung and Dongman Lee | Probabilistic Analysis of Loss in Interface Adapter Chaining | 20 pages, 2 figures | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Interface adapters allow applications written for one interface to be reused
with another interface without having to rewrite application code, and chaining
interface adapters can significantly reduce the development effort required to
create the adapters. However, interface adapters will often be unable to
convert i... | [
{
"created": "Mon, 18 Apr 2011 13:07:00 GMT",
"version": "v1"
}
] | 2011-04-19 | [
[
"Chung",
"Yoo",
""
],
[
"Lee",
"Dongman",
""
]
] | Interface adapters allow applications written for one interface to be reused with another interface without having to rewrite application code, and chaining interface adapters can significantly reduce the development effort required to create the adapters. However, interface adapters will often be unable to convert int... |
1607.03305 | Martin Cadik | Martin Cadik and Jan Vasicek and Michal Hradis and Filip Radenovic and
Ondrej Chum | Camera Elevation Estimation from a Single Mountain Landscape Photograph | null | In Xianghua Xie, Mark W. Jones, and Gary K. L. Tam, editors,
Proceedings of the British Machine Vision Conference (BMVC), pages
30.1-30.12. BMVA Press, September 2015 | 10.5244/C.29.30 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work addresses the problem of camera elevation estimation from a single
photograph in an outdoor environment. We introduce a new benchmark dataset of
one-hundred thousand images with annotated camera elevation called Alps100K. We
propose and experimentally evaluate two automatic data-driven approaches to
camera ... | [
{
"created": "Tue, 12 Jul 2016 10:47:51 GMT",
"version": "v1"
}
] | 2016-07-13 | [
[
"Cadik",
"Martin",
""
],
[
"Vasicek",
"Jan",
""
],
[
"Hradis",
"Michal",
""
],
[
"Radenovic",
"Filip",
""
],
[
"Chum",
"Ondrej",
""
]
] | This work addresses the problem of camera elevation estimation from a single photograph in an outdoor environment. We introduce a new benchmark dataset of one-hundred thousand images with annotated camera elevation called Alps100K. We propose and experimentally evaluate two automatic data-driven approaches to camera el... |
2206.09068 | Sukesh Adiga Vasudeva | Sukesh Adiga V, Jose Dolz, Herve Lombaert | Attention-based Dynamic Subspace Learners for Medical Image Analysis | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning similarity is a key aspect in medical image analysis, particularly
in recommendation systems or in uncovering the interpretation of anatomical
data in images. Most existing methods learn such similarities in the embedding
space over image sets using a single metric learner. Images, however, have a
variety of... | [
{
"created": "Sat, 18 Jun 2022 00:44:40 GMT",
"version": "v1"
}
] | 2022-06-22 | [
[
"Adiga",
"Sukesh",
"V"
],
[
"Dolz",
"Jose",
""
],
[
"Lombaert",
"Herve",
""
]
] | Learning similarity is a key aspect in medical image analysis, particularly in recommendation systems or in uncovering the interpretation of anatomical data in images. Most existing methods learn such similarities in the embedding space over image sets using a single metric learner. Images, however, have a variety of o... |
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