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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2405.14384 | Marion Neumeier | Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick | Reliable Trajectory Prediction and Uncertainty Quantification with
Conditioned Diffusion Models | Accepted at IEEE/CVF Computer Vision and Pattern Recognition
Conference Workshops (CVPRW) 2024 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work introduces the conditioned Vehicle Motion Diffusion (cVMD) model, a
novel network architecture for highway trajectory prediction using diffusion
models. The proposed model ensures the drivability of the predicted trajectory
by integrating non-holonomic motion constraints and physical constraints into
the ge... | [
{
"created": "Thu, 23 May 2024 10:01:39 GMT",
"version": "v1"
}
] | 2024-05-24 | [
[
"Neumeier",
"Marion",
""
],
[
"Dorn",
"Sebastian",
""
],
[
"Botsch",
"Michael",
""
],
[
"Utschick",
"Wolfgang",
""
]
] | This work introduces the conditioned Vehicle Motion Diffusion (cVMD) model, a novel network architecture for highway trajectory prediction using diffusion models. The proposed model ensures the drivability of the predicted trajectory by integrating non-holonomic motion constraints and physical constraints into the gene... |
1512.07331 | Suhas Sreehari | Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg, Lawrence F.
Drummy, Jeffrey P. Simmons, Charles A. Bouman | Plug-and-Play Priors for Bright Field Electron Tomography and Sparse
Interpolation | 13 pages, 11 figures | null | 10.1109/TCI.2016.2599778 | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many material and biological samples in scientific imaging are characterized
by non-local repeating structures. These are studied using scanning electron
microscopy and electron tomography. Sparse sampling of individual pixels in a
2D image acquisition geometry, or sparse sampling of projection images with
large tilt... | [
{
"created": "Wed, 23 Dec 2015 02:06:29 GMT",
"version": "v1"
}
] | 2017-11-09 | [
[
"Sreehari",
"Suhas",
""
],
[
"Venkatakrishnan",
"S. V.",
""
],
[
"Wohlberg",
"Brendt",
""
],
[
"Drummy",
"Lawrence F.",
""
],
[
"Simmons",
"Jeffrey P.",
""
],
[
"Bouman",
"Charles A.",
""
]
] | Many material and biological samples in scientific imaging are characterized by non-local repeating structures. These are studied using scanning electron microscopy and electron tomography. Sparse sampling of individual pixels in a 2D image acquisition geometry, or sparse sampling of projection images with large tilt i... |
2107.07355 | Stefan Marksteiner | Stefan Marksteiner, Slava Bronfman, Markus Wolf, Eddie Lazebnik | Using Cyber Digital Twins for Automated Automotive Cybersecurity Testing | 6 pages, 3 figures, accepted for the joint SRCNAS/STRIVE workshop at
the 6th IEEE European Symposium on Security and Privacy | 2021 IEEE European Symposium on Security and Privacy Workshops
(EuroS&PW) - Safety vs Security in the Air and on the Ground | 10.1109/EuroSPW54576.2021.00020 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cybersecurity testing of automotive systems has become a practical necessity,
with the wide adoption of advanced driving assistance functions and vehicular
communications. These functionalities require the integration of information
and communication technologies that not only allow for a plethora of on-the-fly
confi... | [
{
"created": "Thu, 15 Jul 2021 14:32:10 GMT",
"version": "v1"
}
] | 2021-09-07 | [
[
"Marksteiner",
"Stefan",
""
],
[
"Bronfman",
"Slava",
""
],
[
"Wolf",
"Markus",
""
],
[
"Lazebnik",
"Eddie",
""
]
] | Cybersecurity testing of automotive systems has become a practical necessity, with the wide adoption of advanced driving assistance functions and vehicular communications. These functionalities require the integration of information and communication technologies that not only allow for a plethora of on-the-fly configu... |
1810.11274 | Hao Chen | Hao Chen, Daniel Zelazo, Xiangke Wang, and Lincheng Shen | Convergence Analysis of Signed Nonlinear Networks | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work analyzes the convergence properties of signed networks with
nonlinear edge functions. We consider diffusively coupled networks comprised of
maximal equilibrium-independent passive (MEIP) dynamics on the nodes, and a
general class of nonlinear coupling functions on the edges. The first
contribution of this w... | [
{
"created": "Fri, 26 Oct 2018 11:38:58 GMT",
"version": "v1"
},
{
"created": "Thu, 31 Jan 2019 03:07:13 GMT",
"version": "v2"
},
{
"created": "Wed, 27 Mar 2019 05:46:44 GMT",
"version": "v3"
}
] | 2019-03-28 | [
[
"Chen",
"Hao",
""
],
[
"Zelazo",
"Daniel",
""
],
[
"Wang",
"Xiangke",
""
],
[
"Shen",
"Lincheng",
""
]
] | This work analyzes the convergence properties of signed networks with nonlinear edge functions. We consider diffusively coupled networks comprised of maximal equilibrium-independent passive (MEIP) dynamics on the nodes, and a general class of nonlinear coupling functions on the edges. The first contribution of this wor... |
2207.09869 | Tam\'as Matuszka Ph.D. | Tamas Matuszka, Daniel Kozma | A Novel Neural Network Training Method for Autonomous Driving Using
Semi-Pseudo-Labels and 3D Data Augmentations | null | null | 10.1007/978-3-031-21967-2_18 | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Training neural networks to perform 3D object detection for autonomous
driving requires a large amount of diverse annotated data. However, obtaining
training data with sufficient quality and quantity is expensive and sometimes
impossible due to human and sensor constraints. Therefore, a novel solution is
needed for e... | [
{
"created": "Wed, 20 Jul 2022 13:04:08 GMT",
"version": "v1"
}
] | 2022-12-13 | [
[
"Matuszka",
"Tamas",
""
],
[
"Kozma",
"Daniel",
""
]
] | Training neural networks to perform 3D object detection for autonomous driving requires a large amount of diverse annotated data. However, obtaining training data with sufficient quality and quantity is expensive and sometimes impossible due to human and sensor constraints. Therefore, a novel solution is needed for ext... |
1807.00948 | De'Aira Bryant | Tobi Ogunyale, De'Aira Bryant and Ayanna Howard | Does Removing Stereotype Priming Remove Bias? A Pilot Human-Robot
Interaction Study | 5 pages, 9 figures, 1 table, to be presented at the 5th Workshop on
Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2018),
Stockholm, Sweden, July 15, 2018 | null | null | null | cs.RO cs.HC | http://creativecommons.org/licenses/by/4.0/ | Robots capable of participating in complex social interactions have shown
great potential in a variety of applications. As these robots grow more
popular, it is essential to continuously evaluate the dynamics of the
human-robot relationship. One factor shown to have potential impacts on this
critical relationship is ... | [
{
"created": "Tue, 3 Jul 2018 01:48:06 GMT",
"version": "v1"
}
] | 2018-07-04 | [
[
"Ogunyale",
"Tobi",
""
],
[
"Bryant",
"De'Aira",
""
],
[
"Howard",
"Ayanna",
""
]
] | Robots capable of participating in complex social interactions have shown great potential in a variety of applications. As these robots grow more popular, it is essential to continuously evaluate the dynamics of the human-robot relationship. One factor shown to have potential impacts on this critical relationship is th... |
2107.09265 | Ziqi Lu | Ziqi Lu, Qiangqiang Huang, Kevin Doherty, John Leonard | Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object
SLAM | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Building object-level maps can facilitate robot-environment interactions
(e.g. planning and manipulation), but objects could often have multiple
probable poses when viewed from a single vantage point, due to symmetry,
occlusion or perceptual failures. A robust object-level simultaneous
localization and mapping (objec... | [
{
"created": "Tue, 20 Jul 2021 05:23:20 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Sep 2021 04:32:34 GMT",
"version": "v2"
}
] | 2021-09-09 | [
[
"Lu",
"Ziqi",
""
],
[
"Huang",
"Qiangqiang",
""
],
[
"Doherty",
"Kevin",
""
],
[
"Leonard",
"John",
""
]
] | Building object-level maps can facilitate robot-environment interactions (e.g. planning and manipulation), but objects could often have multiple probable poses when viewed from a single vantage point, due to symmetry, occlusion or perceptual failures. A robust object-level simultaneous localization and mapping (object ... |
2102.00423 | Reza Hadi Mogavi | Reza Hadi Mogavi, Xiaojuan Ma, Pan Hui | Characterizing Student Engagement Moods for Dropout Prediction in
Question Pool Websites | Accepted in the 24th ACM Conference on Computer-Supported Cooperative
Work and Social Computing (CSCW 2021) | null | 10.1145/3449086 | null | cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Problem-Based Learning (PBL) is a popular approach to instruction that
supports students to get hands-on training by solving problems. Question Pool
websites (QPs) such as LeetCode, Code Chef, and Math Playground help PBL by
supplying authentic, diverse, and contextualized questions to students.
Nonetheless, empirica... | [
{
"created": "Sun, 31 Jan 2021 10:30:19 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Feb 2021 19:15:09 GMT",
"version": "v2"
}
] | 2021-02-05 | [
[
"Mogavi",
"Reza Hadi",
""
],
[
"Ma",
"Xiaojuan",
""
],
[
"Hui",
"Pan",
""
]
] | Problem-Based Learning (PBL) is a popular approach to instruction that supports students to get hands-on training by solving problems. Question Pool websites (QPs) such as LeetCode, Code Chef, and Math Playground help PBL by supplying authentic, diverse, and contextualized questions to students. Nonetheless, empirical ... |
2104.04071 | Gautam Srivastava | Farrah Huntinghawk, Candace Richard, Sarah Plosker, Gautam Srivastava | Expanding Cybersecurity Knowledge Through an Indigenous Lens: A First
Look | 9 pages, 0 figures | 2020 IEEE CCECE, London, ON, Canada, 2020, pp. 1-4 | 10.1109/CCECE47787.2020.9255753. | null | cs.CY cs.CR | http://creativecommons.org/licenses/by/4.0/ | Decolonization and Indigenous education are at the forefront of Canadian
content currently in Academia. Over the last few decades, we have seen some
major changes in the way in which we share information. In particular, we have
moved into an age of electronically-shared content, and there is an increasing
expectation... | [
{
"created": "Tue, 30 Mar 2021 19:25:01 GMT",
"version": "v1"
}
] | 2021-04-12 | [
[
"Huntinghawk",
"Farrah",
""
],
[
"Richard",
"Candace",
""
],
[
"Plosker",
"Sarah",
""
],
[
"Srivastava",
"Gautam",
""
]
] | Decolonization and Indigenous education are at the forefront of Canadian content currently in Academia. Over the last few decades, we have seen some major changes in the way in which we share information. In particular, we have moved into an age of electronically-shared content, and there is an increasing expectation i... |
1708.02393 | Chadarat Phipathananunth | Panuchart Bunyakiati and Chadarat Phipathananunth | Cherry-Picking of Code Commits in Long-Running, Multi-release Software | 5 pages | null | 10.1145/3106237.3122818 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents Tartarian, a tool that supports maintenance of software
with long-running, multi-release branches in distributed version control
systems. When new maintenance code, such as bug fixes and code improvement, is
committed into a branch, it is likely that such code can be applied or reused
with some ot... | [
{
"created": "Tue, 8 Aug 2017 07:43:31 GMT",
"version": "v1"
}
] | 2017-08-09 | [
[
"Bunyakiati",
"Panuchart",
""
],
[
"Phipathananunth",
"Chadarat",
""
]
] | This paper presents Tartarian, a tool that supports maintenance of software with long-running, multi-release branches in distributed version control systems. When new maintenance code, such as bug fixes and code improvement, is committed into a branch, it is likely that such code can be applied or reused with some othe... |
2006.14784 | Peter Vaillancourt | Peter Z. Vaillancourt, J. Eric Coulter, Richard Knepper, Brandon
Barker | Self-Scaling Clusters and Reproducible Containers to Enable Scientific
Computing | Accepted for publication in the IEEE conference proceedings for HPEC
2020 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Container technologies such as Docker have become a crucial component of many
software industry practices especially those pertaining to reproducibility and
portability. The containerization philosophy has influenced the scientific
computing community, which has begun to adopt - and even develop - container
technolog... | [
{
"created": "Fri, 26 Jun 2020 03:57:19 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Aug 2020 23:40:15 GMT",
"version": "v2"
}
] | 2020-08-05 | [
[
"Vaillancourt",
"Peter Z.",
""
],
[
"Coulter",
"J. Eric",
""
],
[
"Knepper",
"Richard",
""
],
[
"Barker",
"Brandon",
""
]
] | Container technologies such as Docker have become a crucial component of many software industry practices especially those pertaining to reproducibility and portability. The containerization philosophy has influenced the scientific computing community, which has begun to adopt - and even develop - container technologie... |
1710.02282 | Gabriele D'Angelo | Stefano Ferretti, Gabriele D'Angelo, Vittorio Ghini, Moreno Marzolla | The Quest for Scalability and Accuracy in the Simulation of the Internet
of Things: an Approach based on Multi-Level Simulation | Proceedings of the IEEE/ACM International Symposium on Distributed
Simulation and Real Time Applications (DS-RT 2017) | null | 10.1109/DISTRA.2017.8167672 | null | cs.PF cs.DC cs.MA cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a methodology for simulating the Internet of Things (IoT)
using multi-level simulation models. With respect to conventional simulators,
this approach allows us to tune the level of detail of different parts of the
model without compromising the scalability of the simulation. As a use case, we
have... | [
{
"created": "Fri, 6 Oct 2017 06:05:58 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Aug 2018 07:12:41 GMT",
"version": "v2"
}
] | 2018-08-08 | [
[
"Ferretti",
"Stefano",
""
],
[
"D'Angelo",
"Gabriele",
""
],
[
"Ghini",
"Vittorio",
""
],
[
"Marzolla",
"Moreno",
""
]
] | This paper presents a methodology for simulating the Internet of Things (IoT) using multi-level simulation models. With respect to conventional simulators, this approach allows us to tune the level of detail of different parts of the model without compromising the scalability of the simulation. As a use case, we have d... |
2002.02071 | Jiangsheng You Dr. | Jason You | Finite Hilbert Transform in Weighted L2 Spaces | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Several new properties of weighted Hilbert transform are obtained. If mu is
zero, two Plancherel-like equations and the isotropic properties are derived.
For mu is real number, a coerciveness is derived and two iterative sequences
are constructed to find the inversion. The proposed iterative sequences are
applicable ... | [
{
"created": "Thu, 6 Feb 2020 02:13:18 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Feb 2020 03:47:58 GMT",
"version": "v2"
}
] | 2020-02-12 | [
[
"You",
"Jason",
""
]
] | Several new properties of weighted Hilbert transform are obtained. If mu is zero, two Plancherel-like equations and the isotropic properties are derived. For mu is real number, a coerciveness is derived and two iterative sequences are constructed to find the inversion. The proposed iterative sequences are applicable to... |
1806.00194 | Chen Huang | Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang | Deep Imbalanced Learning for Face Recognition and Attribute Prediction | 14 pages, 10 figures, 8 tables. Accepted to TPAMI | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data for face analysis often exhibit highly-skewed class distribution, i.e.,
most data belong to a few majority classes, while the minority classes only
contain a scarce amount of instances. To mitigate this issue, contemporary deep
learning methods typically follow classic strategies such as class re-sampling
or cos... | [
{
"created": "Fri, 1 Jun 2018 04:55:47 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Apr 2019 03:49:42 GMT",
"version": "v2"
}
] | 2019-05-01 | [
[
"Huang",
"Chen",
""
],
[
"Li",
"Yining",
""
],
[
"Loy",
"Chen Change",
""
],
[
"Tang",
"Xiaoou",
""
]
] | Data for face analysis often exhibit highly-skewed class distribution, i.e., most data belong to a few majority classes, while the minority classes only contain a scarce amount of instances. To mitigate this issue, contemporary deep learning methods typically follow classic strategies such as class re-sampling or cost-... |
2309.12578 | Bokyeong Yoon | Bokyeong Yoon, Yoonsang Han, Gordon Euhyun Moon | SPION: Layer-Wise Sparse Training of Transformer via Convolutional Flood
Filling | null | null | null | null | cs.LG cs.DC | http://creativecommons.org/licenses/by/4.0/ | Sparsifying the Transformer has garnered considerable interest, as training
the Transformer is very computationally demanding. Prior efforts to sparsify
the Transformer have either used a fixed pattern or data-driven approach to
reduce the number of operations involving the computation of multi-head
attention, which ... | [
{
"created": "Fri, 22 Sep 2023 02:14:46 GMT",
"version": "v1"
}
] | 2023-09-25 | [
[
"Yoon",
"Bokyeong",
""
],
[
"Han",
"Yoonsang",
""
],
[
"Moon",
"Gordon Euhyun",
""
]
] | Sparsifying the Transformer has garnered considerable interest, as training the Transformer is very computationally demanding. Prior efforts to sparsify the Transformer have either used a fixed pattern or data-driven approach to reduce the number of operations involving the computation of multi-head attention, which is... |
2312.12006 | Md.Rafiul Biswas Mr. | Md. Rafiul Biswas, Ashhadul Islam, Zubair Shah, Wajdi Zaghouani, Samir
Brahim Belhaouari | Can ChatGPT be Your Personal Medical Assistant? | 5 pages, 7 figures, two tables, Accepted on The International
Symposium on Foundation and Large Language Models (FLLM2023) | The International Symposium on Foundation and Large Language
Models (FLLM2023) https://fllm-conference.org/2023/ | null | null | cs.CL cs.SI | http://creativecommons.org/licenses/by/4.0/ | The advanced large language model (LLM) ChatGPT has shown its potential in
different domains and remains unbeaten due to its characteristics compared to
other LLMs. This study aims to evaluate the potential of using a fine-tuned
ChatGPT model as a personal medical assistant in the Arabic language. To do so,
this stud... | [
{
"created": "Tue, 19 Dec 2023 09:54:27 GMT",
"version": "v1"
}
] | 2023-12-20 | [
[
"Biswas",
"Md. Rafiul",
""
],
[
"Islam",
"Ashhadul",
""
],
[
"Shah",
"Zubair",
""
],
[
"Zaghouani",
"Wajdi",
""
],
[
"Belhaouari",
"Samir Brahim",
""
]
] | The advanced large language model (LLM) ChatGPT has shown its potential in different domains and remains unbeaten due to its characteristics compared to other LLMs. This study aims to evaluate the potential of using a fine-tuned ChatGPT model as a personal medical assistant in the Arabic language. To do so, this study ... |
2010.01247 | Zhun Deng | Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang | Interpreting Robust Optimization via Adversarial Influence Functions | null | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robust optimization has been widely used in nowadays data science, especially
in adversarial training. However, little research has been done to quantify how
robust optimization changes the optimizers and the prediction losses comparing
to standard training. In this paper, inspired by the influence function in
robust... | [
{
"created": "Sat, 3 Oct 2020 01:19:10 GMT",
"version": "v1"
}
] | 2020-10-06 | [
[
"Deng",
"Zhun",
""
],
[
"Dwork",
"Cynthia",
""
],
[
"Wang",
"Jialiang",
""
],
[
"Zhang",
"Linjun",
""
]
] | Robust optimization has been widely used in nowadays data science, especially in adversarial training. However, little research has been done to quantify how robust optimization changes the optimizers and the prediction losses comparing to standard training. In this paper, inspired by the influence function in robust s... |
2011.08529 | Zhaoyi Wan | Zhaoyi Wan, Yimin Chen, Sutao Deng, Kunpeng Chen, Cong Yao, Jiebo Luo | Slender Object Detection: Diagnoses and Improvements | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we are concerned with the detection of a particular type of
objects with extreme aspect ratios, namely \textbf{slender objects}. In
real-world scenarios, slender objects are actually very common and crucial to
the objective of a detection system. However, this type of objects has been
largely overlooke... | [
{
"created": "Tue, 17 Nov 2020 09:39:42 GMT",
"version": "v1"
},
{
"created": "Sat, 21 Nov 2020 05:33:07 GMT",
"version": "v2"
},
{
"created": "Thu, 24 Dec 2020 09:14:36 GMT",
"version": "v3"
},
{
"created": "Wed, 7 Apr 2021 02:35:15 GMT",
"version": "v4"
}
] | 2021-04-08 | [
[
"Wan",
"Zhaoyi",
""
],
[
"Chen",
"Yimin",
""
],
[
"Deng",
"Sutao",
""
],
[
"Chen",
"Kunpeng",
""
],
[
"Yao",
"Cong",
""
],
[
"Luo",
"Jiebo",
""
]
] | In this paper, we are concerned with the detection of a particular type of objects with extreme aspect ratios, namely \textbf{slender objects}. In real-world scenarios, slender objects are actually very common and crucial to the objective of a detection system. However, this type of objects has been largely overlooked ... |
1012.5041 | Pablo S\'anchez-Moreno | P. S\'anchez-Moreno, A. Zarzo and J.S. Dehesa | Jensen divergence based on Fisher's information | 8 pages, 8 figures | J. Phys. A: Math. Theor. 45 (2012) 125305 | 10.1088/1751-8113/45/12/125305 | null | cs.IT math.IT physics.data-an | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The measure of Jensen-Fisher divergence between probability distributions is
introduced and its theoretical grounds set up. This quantity, in contrast to
the remaining Jensen divergences, is very sensitive to the fluctuations of the
probability distributions because it is controlled by the (local) Fisher
information,... | [
{
"created": "Wed, 22 Dec 2010 17:15:17 GMT",
"version": "v1"
}
] | 2013-01-08 | [
[
"Sánchez-Moreno",
"P.",
""
],
[
"Zarzo",
"A.",
""
],
[
"Dehesa",
"J. S.",
""
]
] | The measure of Jensen-Fisher divergence between probability distributions is introduced and its theoretical grounds set up. This quantity, in contrast to the remaining Jensen divergences, is very sensitive to the fluctuations of the probability distributions because it is controlled by the (local) Fisher information, w... |
1505.07293 | Vijay Badrinarayanan | Vijay Badrinarayanan, Ankur Handa, Roberto Cipolla | SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
Semantic Pixel-Wise Labelling | This version was first submitted to CVPR' 15 on November 14, 2014
with paper Id 1468. A similar architecture was proposed more recently on May
17, 2015, see http://arxiv.org/pdf/1505.04366.pdf | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel deep architecture, SegNet, for semantic pixel wise image
labelling. SegNet has several attractive properties; (i) it only requires
forward evaluation of a fully learnt function to obtain smooth label
predictions, (ii) with increasing depth, a larger context is considered for
pixel labelling which i... | [
{
"created": "Wed, 27 May 2015 12:54:17 GMT",
"version": "v1"
}
] | 2015-05-28 | [
[
"Badrinarayanan",
"Vijay",
""
],
[
"Handa",
"Ankur",
""
],
[
"Cipolla",
"Roberto",
""
]
] | We propose a novel deep architecture, SegNet, for semantic pixel wise image labelling. SegNet has several attractive properties; (i) it only requires forward evaluation of a fully learnt function to obtain smooth label predictions, (ii) with increasing depth, a larger context is considered for pixel labelling which imp... |
2308.14326 | Maximilian St\"abler | Maximilian Staebler, Frank Koester, Christoph Schlueter-Langdon | Towards solving ontological dissonance using network graphs | 5 pages, AMCIS 2023 proceedings | null | null | null | cs.AI cs.SI | http://creativecommons.org/licenses/by/4.0/ | Data Spaces are an emerging concept for the trusted implementation of
data-based applications and business models, offering a high degree of
flexibility and sovereignty to all stakeholders. As Data Spaces are currently
emerging in different domains such as mobility, health or food, semantic
interfaces need to be iden... | [
{
"created": "Mon, 28 Aug 2023 06:10:26 GMT",
"version": "v1"
}
] | 2023-08-29 | [
[
"Staebler",
"Maximilian",
""
],
[
"Koester",
"Frank",
""
],
[
"Schlueter-Langdon",
"Christoph",
""
]
] | Data Spaces are an emerging concept for the trusted implementation of data-based applications and business models, offering a high degree of flexibility and sovereignty to all stakeholders. As Data Spaces are currently emerging in different domains such as mobility, health or food, semantic interfaces need to be identi... |
2012.11334 | Viacheslav Dubeyko | Viacheslav Dubeyko | Cognitive Computing in Data-centric Paradigm | null | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge is the most precious asset of humankind. People extract the
experience from the data that provide for us the reality through the feelings.
Generally speaking, it is possible to see the analogy of knowledge elaboration
between humankind's way and the artificial system's way. Digital data are the
"feelings" o... | [
{
"created": "Mon, 14 Dec 2020 22:39:53 GMT",
"version": "v1"
}
] | 2020-12-22 | [
[
"Dubeyko",
"Viacheslav",
""
]
] | Knowledge is the most precious asset of humankind. People extract the experience from the data that provide for us the reality through the feelings. Generally speaking, it is possible to see the analogy of knowledge elaboration between humankind's way and the artificial system's way. Digital data are the "feelings" of ... |
1603.02381 | Ragesh K Ramachandran | Ragesh K Ramachandran and Spring Berman | The Effect of Communication Topology on Scalar Field Estimation by
Networked Robotic Swarms | null | null | null | null | cs.RO cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the problem of reconstructing a two-dimensional scalar
field using a swarm of networked robots with local communication capabilities.
We consider the communication network of the robots to form either a chain or a
grid topology. We formulate the reconstruction problem as an optimization
problem tha... | [
{
"created": "Tue, 8 Mar 2016 04:51:09 GMT",
"version": "v1"
}
] | 2016-03-09 | [
[
"Ramachandran",
"Ragesh K",
""
],
[
"Berman",
"Spring",
""
]
] | This paper studies the problem of reconstructing a two-dimensional scalar field using a swarm of networked robots with local communication capabilities. We consider the communication network of the robots to form either a chain or a grid topology. We formulate the reconstruction problem as an optimization problem that ... |
2304.00173 | Rami Botros | Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara
N. Sainath, Fran\c{c}oise Beaufays | Lego-Features: Exporting modular encoder features for streaming and
deliberation ASR | null | null | null | null | cs.CL cs.AI cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | In end-to-end (E2E) speech recognition models, a representational
tight-coupling inevitably emerges between the encoder and the decoder. We build
upon recent work that has begun to explore building encoders with modular
encoded representations, such that encoders and decoders from different models
can be stitched tog... | [
{
"created": "Fri, 31 Mar 2023 23:33:21 GMT",
"version": "v1"
}
] | 2023-04-04 | [
[
"Botros",
"Rami",
""
],
[
"Prabhavalkar",
"Rohit",
""
],
[
"Schalkwyk",
"Johan",
""
],
[
"Chelba",
"Ciprian",
""
],
[
"Sainath",
"Tara N.",
""
],
[
"Beaufays",
"Françoise",
""
]
] | In end-to-end (E2E) speech recognition models, a representational tight-coupling inevitably emerges between the encoder and the decoder. We build upon recent work that has begun to explore building encoders with modular encoded representations, such that encoders and decoders from different models can be stitched toget... |
1809.01906 | Felix Leibfried | Felix Leibfried, Peter Vrancx | Model-Based Regularization for Deep Reinforcement Learning with
Transcoder Networks | Presented at the NIPS Deep Reinforcement Learning Workshop, Montreal,
Canada, 2018 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a new optimization objective for value-based deep
reinforcement learning. We extend conventional Deep Q-Networks (DQNs) by adding
a model-learning component yielding a transcoder network. The prediction errors
for the model are included in the basic DQN loss as additional regularizers.
This augmen... | [
{
"created": "Thu, 6 Sep 2018 09:49:18 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Nov 2018 13:30:16 GMT",
"version": "v2"
}
] | 2018-11-21 | [
[
"Leibfried",
"Felix",
""
],
[
"Vrancx",
"Peter",
""
]
] | This paper proposes a new optimization objective for value-based deep reinforcement learning. We extend conventional Deep Q-Networks (DQNs) by adding a model-learning component yielding a transcoder network. The prediction errors for the model are included in the basic DQN loss as additional regularizers. This augmente... |
2202.13677 | Sean Kauffman | Sean Kauffman, Martin Zimmermann | The Complexity of Evaluating nfer | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nfer is a rule-based language for abstracting event streams into a hierarchy
of intervals with data. Nfer has multiple implementations and has been applied
in the analysis of spacecraft telemetry and autonomous vehicle logs. This work
provides the first complexity analysis of nfer evaluation, i.e., the problem of
dec... | [
{
"created": "Mon, 28 Feb 2022 10:53:09 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Jul 2022 12:37:22 GMT",
"version": "v2"
},
{
"created": "Mon, 21 Nov 2022 12:08:18 GMT",
"version": "v3"
}
] | 2022-11-22 | [
[
"Kauffman",
"Sean",
""
],
[
"Zimmermann",
"Martin",
""
]
] | Nfer is a rule-based language for abstracting event streams into a hierarchy of intervals with data. Nfer has multiple implementations and has been applied in the analysis of spacecraft telemetry and autonomous vehicle logs. This work provides the first complexity analysis of nfer evaluation, i.e., the problem of decid... |
2209.10767 | Srikanth Malla | Srikanth Malla, Chiho Choi, Isht Dwivedi, Joon Hee Choi, Jiachen Li | DRAMA: Joint Risk Localization and Captioning in Driving | WACV 2023 (Winter Conference on Applications of Computer Vision) | null | null | null | cs.CV cs.AI cs.LG cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Considering the functionality of situational awareness in safety-critical
automation systems, the perception of risk in driving scenes and its
explainability is of particular importance for autonomous and cooperative
driving. Toward this goal, this paper proposes a new research direction of
joint risk localization in... | [
{
"created": "Thu, 22 Sep 2022 03:53:56 GMT",
"version": "v1"
},
{
"created": "Wed, 5 Oct 2022 21:09:10 GMT",
"version": "v2"
}
] | 2022-10-07 | [
[
"Malla",
"Srikanth",
""
],
[
"Choi",
"Chiho",
""
],
[
"Dwivedi",
"Isht",
""
],
[
"Choi",
"Joon Hee",
""
],
[
"Li",
"Jiachen",
""
]
] | Considering the functionality of situational awareness in safety-critical automation systems, the perception of risk in driving scenes and its explainability is of particular importance for autonomous and cooperative driving. Toward this goal, this paper proposes a new research direction of joint risk localization in d... |
2211.06223 | Linqi Ye Dr. | Linqi Ye, Xueqian Wang, Houde Liu, Bin Liang | The Simplest Balance Controller for Dynamic Walking | null | null | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Humans can balance very well during walking, even when perturbed. But it
seems difficult to achieve robust walking for bipedal robots. Here we describe
the simplest balance controller that leads to robust walking for a linear
inverted pendulum (LIP) model. The main idea is to use a linear function of the
body velocit... | [
{
"created": "Fri, 11 Nov 2022 14:19:40 GMT",
"version": "v1"
}
] | 2022-11-14 | [
[
"Ye",
"Linqi",
""
],
[
"Wang",
"Xueqian",
""
],
[
"Liu",
"Houde",
""
],
[
"Liang",
"Bin",
""
]
] | Humans can balance very well during walking, even when perturbed. But it seems difficult to achieve robust walking for bipedal robots. Here we describe the simplest balance controller that leads to robust walking for a linear inverted pendulum (LIP) model. The main idea is to use a linear function of the body velocity ... |
2309.16783 | David Widemann | Lakshmi Nair, David Widemann, Brad Turcott, Nick Moore, Alexandra
Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan | Photonic Accelerators for Image Segmentation in Autonomous Driving and
Defect Detection | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Photonic computing promises faster and more energy-efficient deep neural
network (DNN) inference than traditional digital hardware. Advances in photonic
computing can have profound impacts on applications such as autonomous driving
and defect detection that depend on fast, accurate and energy efficient
execution of i... | [
{
"created": "Thu, 28 Sep 2023 18:22:41 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Oct 2023 16:34:13 GMT",
"version": "v2"
}
] | 2023-10-04 | [
[
"Nair",
"Lakshmi",
""
],
[
"Widemann",
"David",
""
],
[
"Turcott",
"Brad",
""
],
[
"Moore",
"Nick",
""
],
[
"Wleklinski",
"Alexandra",
""
],
[
"Bunandar",
"Darius",
""
],
[
"Papavasileiou",
"Ioannis",
""
... | Photonic computing promises faster and more energy-efficient deep neural network (DNN) inference than traditional digital hardware. Advances in photonic computing can have profound impacts on applications such as autonomous driving and defect detection that depend on fast, accurate and energy efficient execution of ima... |
2102.08085 | Fouzia Altaf Ms | Fouzia Altaf, Syed M.S. Islam, Naeem K. Janjua, Naveed Akhtar | Boosting Deep Transfer Learning for COVID-19 Classification | 5 pages | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | COVID-19 classification using chest Computed Tomography (CT) has been found
pragmatically useful by several studies. Due to the lack of annotated samples,
these studies recommend transfer learning and explore the choices of
pre-trained models and data augmentation. However, it is still unknown if there
are better str... | [
{
"created": "Tue, 16 Feb 2021 11:15:23 GMT",
"version": "v1"
}
] | 2021-02-17 | [
[
"Altaf",
"Fouzia",
""
],
[
"Islam",
"Syed M. S.",
""
],
[
"Janjua",
"Naeem K.",
""
],
[
"Akhtar",
"Naveed",
""
]
] | COVID-19 classification using chest Computed Tomography (CT) has been found pragmatically useful by several studies. Due to the lack of annotated samples, these studies recommend transfer learning and explore the choices of pre-trained models and data augmentation. However, it is still unknown if there are better strat... |
2011.01671 | Christian Berger | Christian Berger, Hans P. Reiser, Jo\~ao Sousa, Alysson Bessani | AWARE: Adaptive Wide-Area Replication for Fast and Resilient Byzantine
Consensus | This paper consists of 16 pages in total. This paper is the accepted
version to be published in IEEE Transactions on Dependable and Secure
Computing (2020). For the published version refer to DOI
https://doi.org/10.1109/TDSC.2020.3030605 | null | 10.1109/TDSC.2020.3030605 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With upcoming blockchain infrastructures, world-spanning Byzantine consensus
is getting practical and necessary. In geographically distributed systems, the
pace at which consensus is achieved is limited by the heterogenous latencies of
connections between replicas. If deployed on a wide-area network,
consensus-based ... | [
{
"created": "Tue, 3 Nov 2020 12:58:39 GMT",
"version": "v1"
}
] | 2020-11-04 | [
[
"Berger",
"Christian",
""
],
[
"Reiser",
"Hans P.",
""
],
[
"Sousa",
"João",
""
],
[
"Bessani",
"Alysson",
""
]
] | With upcoming blockchain infrastructures, world-spanning Byzantine consensus is getting practical and necessary. In geographically distributed systems, the pace at which consensus is achieved is limited by the heterogenous latencies of connections between replicas. If deployed on a wide-area network, consensus-based sy... |
2403.18133 | Erkan Karabulut | Erkan Karabulut, Victoria Degeler, Paul Groth | AE SemRL: Learning Semantic Association Rules with Autoencoders | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Association Rule Mining (ARM) is the task of learning associations among data
features in the form of logical rules. Mining association rules from
high-dimensional numerical data, for example, time series data from a large
number of sensors in a smart environment, is a computationally intensive task.
In this study, w... | [
{
"created": "Tue, 26 Mar 2024 22:28:43 GMT",
"version": "v1"
}
] | 2024-03-28 | [
[
"Karabulut",
"Erkan",
""
],
[
"Degeler",
"Victoria",
""
],
[
"Groth",
"Paul",
""
]
] | Association Rule Mining (ARM) is the task of learning associations among data features in the form of logical rules. Mining association rules from high-dimensional numerical data, for example, time series data from a large number of sensors in a smart environment, is a computationally intensive task. In this study, we ... |
1704.03928 | Noah Stephens-Davidowitz | Huck Bennett, Alexander Golovnev, Noah Stephens-Davidowitz | On the Quantitative Hardness of CVP | null | FOCS 2017 | null | null | cs.CC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | $ \newcommand{\eps}{\varepsilon}
\newcommand{\problem}[1]{\ensuremath{\mathrm{#1}} }
\newcommand{\CVP}{\problem{CVP}} \newcommand{\SVP}{\problem{SVP}}
\newcommand{\CVPP}{\problem{CVPP}} \newcommand{\ensuremath}[1]{#1} $For odd
integers $p \geq 1$ (and $p = \infty$), we show that the Closest Vector Problem
in the $\el... | [
{
"created": "Wed, 12 Apr 2017 20:55:59 GMT",
"version": "v1"
},
{
"created": "Thu, 5 Oct 2017 19:05:01 GMT",
"version": "v2"
}
] | 2019-01-28 | [
[
"Bennett",
"Huck",
""
],
[
"Golovnev",
"Alexander",
""
],
[
"Stephens-Davidowitz",
"Noah",
""
]
] | $ \newcommand{\eps}{\varepsilon} \newcommand{\problem}[1]{\ensuremath{\mathrm{#1}} } \newcommand{\CVP}{\problem{CVP}} \newcommand{\SVP}{\problem{SVP}} \newcommand{\CVPP}{\problem{CVPP}} \newcommand{\ensuremath}[1]{#1} $For odd integers $p \geq 1$ (and $p = \infty$), we show that the Closest Vector Problem in the $\ell_... |
2310.00922 | Hong Huy Nguyen | Huy H. Nguyen, Junichi Yamagishi, Isao Echizen | How Close are Other Computer Vision Tasks to Deepfake Detection? | Accepted to be Published in Proceedings of the IEEE International
Joint Conference on Biometrics (IJCB 2023) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we challenge the conventional belief that supervised
ImageNet-trained models have strong generalizability and are suitable for use
as feature extractors in deepfake detection. We present a new measurement,
"model separability," for visually and quantitatively assessing a model's raw
capacity to separat... | [
{
"created": "Mon, 2 Oct 2023 06:32:35 GMT",
"version": "v1"
}
] | 2023-10-03 | [
[
"Nguyen",
"Huy H.",
""
],
[
"Yamagishi",
"Junichi",
""
],
[
"Echizen",
"Isao",
""
]
] | In this paper, we challenge the conventional belief that supervised ImageNet-trained models have strong generalizability and are suitable for use as feature extractors in deepfake detection. We present a new measurement, "model separability," for visually and quantitatively assessing a model's raw capacity to separate ... |
2107.07983 | Zhi-Gang Liu | Zhi-Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina | S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN
Acceleration | Accepted by the HPCA 20222, the 28th IEEE International Symposium on
High-Performance Computer Architecture (HPCA-28) | null | null | null | cs.AR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Exploiting sparsity is a key technique in accelerating quantized
convolutional neural network (CNN) inference on mobile devices. Prior sparse
CNN accelerators largely exploit un-structured sparsity and achieve significant
speedups. Due to the unbounded, largely unpredictable sparsity patterns,
however, exploiting uns... | [
{
"created": "Fri, 16 Jul 2021 15:57:06 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Jan 2022 16:23:55 GMT",
"version": "v2"
}
] | 2022-01-07 | [
[
"Liu",
"Zhi-Gang",
""
],
[
"Whatmough",
"Paul N.",
""
],
[
"Zhu",
"Yuhao",
""
],
[
"Mattina",
"Matthew",
""
]
] | Exploiting sparsity is a key technique in accelerating quantized convolutional neural network (CNN) inference on mobile devices. Prior sparse CNN accelerators largely exploit un-structured sparsity and achieve significant speedups. Due to the unbounded, largely unpredictable sparsity patterns, however, exploiting unstr... |
1804.06682 | Mostafa Wahby | Mostafa Wahby, Mary Katherine Heinrich, Daniel Nicolas Hofstadler,
Payam Zahadat, Sebastian Risi, Phil Ayres, Thomas Schmickl and Heiko Hamann | A Robot to Shape your Natural Plant: The Machine Learning Approach to
Model and Control Bio-Hybrid Systems | null | null | 10.1145/3205455.3205516 | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bio-hybrid systems---close couplings of natural organisms with
technology---are high potential and still underexplored. In existing work,
robots have mostly influenced group behaviors of animals. We explore the
possibilities of mixing robots with natural plants, merging useful attributes.
Significant synergies arise ... | [
{
"created": "Wed, 18 Apr 2018 12:30:18 GMT",
"version": "v1"
},
{
"created": "Thu, 19 Apr 2018 09:26:34 GMT",
"version": "v2"
}
] | 2018-04-20 | [
[
"Wahby",
"Mostafa",
""
],
[
"Heinrich",
"Mary Katherine",
""
],
[
"Hofstadler",
"Daniel Nicolas",
""
],
[
"Zahadat",
"Payam",
""
],
[
"Risi",
"Sebastian",
""
],
[
"Ayres",
"Phil",
""
],
[
"Schmickl",
"Thomas",
... | Bio-hybrid systems---close couplings of natural organisms with technology---are high potential and still underexplored. In existing work, robots have mostly influenced group behaviors of animals. We explore the possibilities of mixing robots with natural plants, merging useful attributes. Significant synergies arise by... |
2008.10715 | Binghui Wang | Binghui Wang, Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong | Certified Robustness of Graph Neural Networks against Adversarial
Structural Perturbation | Accepted by ACM SIGKDD'21 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Graph neural networks (GNNs) have recently gained much attention for node and
graph classification tasks on graph-structured data. However, multiple recent
works showed that an attacker can easily make GNNs predict incorrectly via
perturbing the graph structure, i.e., adding or deleting edges in the graph. We
aim to ... | [
{
"created": "Mon, 24 Aug 2020 21:39:10 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Jun 2021 02:34:29 GMT",
"version": "v2"
},
{
"created": "Fri, 16 Jul 2021 01:54:43 GMT",
"version": "v3"
}
] | 2021-07-19 | [
[
"Wang",
"Binghui",
""
],
[
"Jia",
"Jinyuan",
""
],
[
"Cao",
"Xiaoyu",
""
],
[
"Gong",
"Neil Zhenqiang",
""
]
] | Graph neural networks (GNNs) have recently gained much attention for node and graph classification tasks on graph-structured data. However, multiple recent works showed that an attacker can easily make GNNs predict incorrectly via perturbing the graph structure, i.e., adding or deleting edges in the graph. We aim to de... |
2307.16651 | Yu Wu | Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas
Gonzales, Soren Brage, Nicholas Wareham, Cecilia Mascolo | UDAMA: Unsupervised Domain Adaptation through Multi-discriminator
Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction | Accepted at Machine Learning for Healthcare (MLHC) 2023 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning models have shown great promise in various healthcare
monitoring applications. However, most healthcare datasets with high-quality
(gold-standard) labels are small-scale, as directly collecting ground truth is
often costly and time-consuming. As a result, models developed and validated on
small-scale da... | [
{
"created": "Mon, 31 Jul 2023 13:31:53 GMT",
"version": "v1"
}
] | 2023-08-01 | [
[
"Wu",
"Yu",
""
],
[
"Spathis",
"Dimitris",
""
],
[
"Jia",
"Hong",
""
],
[
"Perez-Pozuelo",
"Ignacio",
""
],
[
"Gonzales",
"Tomas",
""
],
[
"Brage",
"Soren",
""
],
[
"Wareham",
"Nicholas",
""
],
[
"M... | Deep learning models have shown great promise in various healthcare monitoring applications. However, most healthcare datasets with high-quality (gold-standard) labels are small-scale, as directly collecting ground truth is often costly and time-consuming. As a result, models developed and validated on small-scale data... |
2403.14614 | Yuning Cui | Yuning Cui and Syed Waqas Zamir and Salman Khan and Alois Knoll and
Mubarak Shah and Fahad Shahbaz Khan | AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and
Modulation | 28 pages,15 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the image acquisition process, various forms of degradation, including
noise, haze, and rain, are frequently introduced. These degradations typically
arise from the inherent limitations of cameras or unfavorable ambient
conditions. To recover clean images from degraded versions, numerous
specialized restoration me... | [
{
"created": "Thu, 21 Mar 2024 17:58:14 GMT",
"version": "v1"
}
] | 2024-03-22 | [
[
"Cui",
"Yuning",
""
],
[
"Zamir",
"Syed Waqas",
""
],
[
"Khan",
"Salman",
""
],
[
"Knoll",
"Alois",
""
],
[
"Shah",
"Mubarak",
""
],
[
"Khan",
"Fahad Shahbaz",
""
]
] | In the image acquisition process, various forms of degradation, including noise, haze, and rain, are frequently introduced. These degradations typically arise from the inherent limitations of cameras or unfavorable ambient conditions. To recover clean images from degraded versions, numerous specialized restoration meth... |
2202.02524 | Harichandana B S S | Harichandana B S S, Vibhav Agarwal, Sourav Ghosh, Gopi Ramena, Sumit
Kumar and Barath Raj Kandur Raja | PrivPAS: A real time Privacy-Preserving AI System and applied ethics | Accepted at 16th IEEE International Conference on Semantic Computing
(ICSC), January 26-28, 2022 [update: Best Paper candidate at ICSC 2022] | 2022 IEEE 16th International Conference on Semantic Computing
(ICSC), Laguna Hills, CA, USA, 2022, pp. 9-16 | 10.1109/ICSC52841.2022.00010 | null | cs.CV cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | With 3.78 billion social media users worldwide in 2021 (48% of the human
population), almost 3 billion images are shared daily. At the same time, a
consistent evolution of smartphone cameras has led to a photography explosion
with 85% of all new pictures being captured using smartphones. However, lately,
there has be... | [
{
"created": "Sat, 5 Feb 2022 09:52:54 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Feb 2022 14:23:15 GMT",
"version": "v2"
}
] | 2022-04-05 | [
[
"S",
"Harichandana B S",
""
],
[
"Agarwal",
"Vibhav",
""
],
[
"Ghosh",
"Sourav",
""
],
[
"Ramena",
"Gopi",
""
],
[
"Kumar",
"Sumit",
""
],
[
"Raja",
"Barath Raj Kandur",
""
]
] | With 3.78 billion social media users worldwide in 2021 (48% of the human population), almost 3 billion images are shared daily. At the same time, a consistent evolution of smartphone cameras has led to a photography explosion with 85% of all new pictures being captured using smartphones. However, lately, there has been... |
1510.05860 | Ya-Feng Liu | Ya-Feng Liu | Dynamic Spectrum Management: A Complete Complexity Characterization | The paper has been accepted for publication in IEEE Transactions on
Information Theory | null | null | null | cs.IT cs.CC math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Consider a multi-user multi-carrier communication system where multiple users
share multiple discrete subcarriers. To achieve high spectrum efficiency, the
users in the system must choose their transmit power dynamically in response to
fast channel fluctuations. Assuming perfect channel state information, two
formula... | [
{
"created": "Tue, 20 Oct 2015 12:24:35 GMT",
"version": "v1"
},
{
"created": "Sat, 29 Oct 2016 00:26:26 GMT",
"version": "v2"
}
] | 2016-11-01 | [
[
"Liu",
"Ya-Feng",
""
]
] | Consider a multi-user multi-carrier communication system where multiple users share multiple discrete subcarriers. To achieve high spectrum efficiency, the users in the system must choose their transmit power dynamically in response to fast channel fluctuations. Assuming perfect channel state information, two formulati... |
2408.07191 | Jonas Linkerh\"agner | Jonas Linkerh\"agner, Cheng Shi, Ivan Dokmani\'c | Joint Graph Rewiring and Feature Denoising via Spectral Resonance | null | null | null | null | cs.LG cs.SI stat.ML | http://creativecommons.org/licenses/by/4.0/ | Graph neural networks (GNNs) take as input the graph structure and the
feature vectors associated with the nodes. Both contain noisy information about
the labels. Here we propose joint denoising and rewiring (JDR)--an algorithm to
jointly denoise the graph structure and features, which can improve the
performance of ... | [
{
"created": "Tue, 13 Aug 2024 20:16:11 GMT",
"version": "v1"
}
] | 2024-08-15 | [
[
"Linkerhägner",
"Jonas",
""
],
[
"Shi",
"Cheng",
""
],
[
"Dokmanić",
"Ivan",
""
]
] | Graph neural networks (GNNs) take as input the graph structure and the feature vectors associated with the nodes. Both contain noisy information about the labels. Here we propose joint denoising and rewiring (JDR)--an algorithm to jointly denoise the graph structure and features, which can improve the performance of an... |
2201.04402 | Ekrem \c{C}etinkaya | Ekrem \c{C}etinkaya and Minh Nguyen and Christian Timmerer | MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with
Deep Neural Networks | 8 pages, 3 figures | MMM 2022: MultiMedia Modeling pp 465-472 | 10.1007/978-3-030-98355-0_40 | null | cs.CV cs.MM | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Deep neural network (DNN) based approaches have been intensively studied to
improve video quality thanks to their fast advancement in recent years. These
approaches are designed mainly for desktop devices due to their high
computational cost. However, with the increasing performance of mobile devices
in recent years,... | [
{
"created": "Wed, 12 Jan 2022 10:38:04 GMT",
"version": "v1"
}
] | 2022-03-22 | [
[
"Çetinkaya",
"Ekrem",
""
],
[
"Nguyen",
"Minh",
""
],
[
"Timmerer",
"Christian",
""
]
] | Deep neural network (DNN) based approaches have been intensively studied to improve video quality thanks to their fast advancement in recent years. These approaches are designed mainly for desktop devices due to their high computational cost. However, with the increasing performance of mobile devices in recent years, i... |
1908.08332 | Luis Cruz | Luis Cruz, Rui Abreu, John Grundy, Li Li, Xin Xia | Do Energy-oriented Changes Hinder Maintainability? | International Conference on Software Maintenance and Evolution -
ICSME 2019 | null | null | null | cs.SE cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Energy efficiency is a crucial quality requirement for mobile applications.
However, improving energy efficiency is far from trivial as developers lack the
knowledge and tools to aid in this activity. In this paper we study the impact
of changes to improve energy efficiency on the maintainability of Android
applicati... | [
{
"created": "Thu, 22 Aug 2019 12:21:08 GMT",
"version": "v1"
}
] | 2019-08-29 | [
[
"Cruz",
"Luis",
""
],
[
"Abreu",
"Rui",
""
],
[
"Grundy",
"John",
""
],
[
"Li",
"Li",
""
],
[
"Xia",
"Xin",
""
]
] | Energy efficiency is a crucial quality requirement for mobile applications. However, improving energy efficiency is far from trivial as developers lack the knowledge and tools to aid in this activity. In this paper we study the impact of changes to improve energy efficiency on the maintainability of Android application... |
1403.2508 | Rajib Das | Sunirmal Khatua, Preetam K. Sur, Rajib K. Das and Nandini Mukherjee | Heuristic-based Optimal Resource Provisioning in Application-centric
Cloud | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cloud Service Providers (CSPs) adapt different pricing models for their
offered services. Some of the models are suitable for short term requirement
while others may be suitable for the Cloud Service User's (CSU) long term
requirement. In this paper, we look at the problem of finding the amount of
resources to be res... | [
{
"created": "Tue, 11 Mar 2014 09:07:16 GMT",
"version": "v1"
}
] | 2014-03-12 | [
[
"Khatua",
"Sunirmal",
""
],
[
"Sur",
"Preetam K.",
""
],
[
"Das",
"Rajib K.",
""
],
[
"Mukherjee",
"Nandini",
""
]
] | Cloud Service Providers (CSPs) adapt different pricing models for their offered services. Some of the models are suitable for short term requirement while others may be suitable for the Cloud Service User's (CSU) long term requirement. In this paper, we look at the problem of finding the amount of resources to be reser... |
1211.3719 | Athanasios Lioumpas S. | Athanasios S. Lioumpas, Petros S. Bithas, Angeliki Alexiou | Partitioning of Distributed MIMO Systems based on Overhead
Considerations | IEEE Wireless Communications Letters | null | 10.1109/WCL.2013.072913.130449 | null | cs.NI cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distributed-Multiple Input Multiple Output (DMIMO) networks is a promising
enabler to address the challenges of high traffic demand in future wireless
networks. A limiting factor that is directly related to the performance of
these systems is the overhead signaling required for distributing data and
control informati... | [
{
"created": "Thu, 15 Nov 2012 20:21:29 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Nov 2012 17:18:49 GMT",
"version": "v2"
},
{
"created": "Sun, 21 Jul 2013 19:49:23 GMT",
"version": "v3"
}
] | 2016-11-18 | [
[
"Lioumpas",
"Athanasios S.",
""
],
[
"Bithas",
"Petros S.",
""
],
[
"Alexiou",
"Angeliki",
""
]
] | Distributed-Multiple Input Multiple Output (DMIMO) networks is a promising enabler to address the challenges of high traffic demand in future wireless networks. A limiting factor that is directly related to the performance of these systems is the overhead signaling required for distributing data and control information... |
2006.12779 | Francesco Cicala | Francesco Cicala, Luca Bortolussi | Density-embedding layers: a general framework for adaptive receptive
fields | 13 pages, 2 figures, submitted to NeurIPS 2020 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The effectiveness and performance of artificial neural networks, particularly
for visual tasks, depends in crucial ways on the receptive field of neurons.
The receptive field itself depends on the interplay between several
architectural aspects, including sparsity, pooling, and activation functions.
In recent literat... | [
{
"created": "Tue, 23 Jun 2020 06:09:16 GMT",
"version": "v1"
},
{
"created": "Mon, 6 Jul 2020 07:36:24 GMT",
"version": "v2"
}
] | 2020-07-07 | [
[
"Cicala",
"Francesco",
""
],
[
"Bortolussi",
"Luca",
""
]
] | The effectiveness and performance of artificial neural networks, particularly for visual tasks, depends in crucial ways on the receptive field of neurons. The receptive field itself depends on the interplay between several architectural aspects, including sparsity, pooling, and activation functions. In recent literatur... |
2303.14828 | Dina Bashkirova | Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun
Kim, Fadi Alladkani, James Akl, Berk Calli, Sarah Adel Bargal, Kate Saenko,
Daehan Kim, Minseok Seo, YoungJin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja
Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li | VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting | Proceedings of Machine Learning Research | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Label-efficient and reliable semantic segmentation is essential for many
real-life applications, especially for industrial settings with high visual
diversity, such as waste sorting. In industrial waste sorting, one of the
biggest challenges is the extreme diversity of the input stream depending on
factors like the l... | [
{
"created": "Sun, 26 Mar 2023 21:38:38 GMT",
"version": "v1"
}
] | 2023-03-28 | [
[
"Bashkirova",
"Dina",
""
],
[
"Mishra",
"Samarth",
""
],
[
"Lteif",
"Diala",
""
],
[
"Teterwak",
"Piotr",
""
],
[
"Kim",
"Donghyun",
""
],
[
"Alladkani",
"Fadi",
""
],
[
"Akl",
"James",
""
],
[
"Cal... | Label-efficient and reliable semantic segmentation is essential for many real-life applications, especially for industrial settings with high visual diversity, such as waste sorting. In industrial waste sorting, one of the biggest challenges is the extreme diversity of the input stream depending on factors like the loc... |
1405.2199 | Madhumangal Pal Dr. | Madhumangal Pal and Anita Pal | Scheduling algorithm to select $k$ optimal programme slots in television
channels: A graph theoretic approach | 25 pages | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, it is shown that all programmes of all television channels can
be modelled as an interval graph. The programme slots are taken as the vertices
of the graph and if the time duration of two {programme slots} have non-empty
intersection, the corresponding vertices are considered to be connected by an
edge... | [
{
"created": "Fri, 9 May 2014 10:29:10 GMT",
"version": "v1"
}
] | 2014-05-12 | [
[
"Pal",
"Madhumangal",
""
],
[
"Pal",
"Anita",
""
]
] | In this paper, it is shown that all programmes of all television channels can be modelled as an interval graph. The programme slots are taken as the vertices of the graph and if the time duration of two {programme slots} have non-empty intersection, the corresponding vertices are considered to be connected by an edge. ... |
2103.10107 | Luk\'a\v{s} Picek | Luk\'a\v{s} Picek, Milan \v{S}ulc, Ji\v{r}\'i Matas, Jacob
Heilmann-Clausen, Thomas S. Jeppesen, Thomas L{\ae}ss{\o}e, Tobias Fr{\o}slev | Danish Fungi 2020 -- Not Just Another Image Recognition Dataset | null | null | 10.1109/WACV51458.2022.00334 | null | cs.CV eess.IV | http://creativecommons.org/licenses/by/4.0/ | We introduce a novel fine-grained dataset and benchmark, the Danish Fungi
2020 (DF20). The dataset, constructed from observations submitted to the Atlas
of Danish Fungi, is unique in its taxonomy-accurate class labels, small number
of errors, highly unbalanced long-tailed class distribution, rich observation
metadata... | [
{
"created": "Thu, 18 Mar 2021 09:33:11 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Mar 2021 12:15:47 GMT",
"version": "v2"
},
{
"created": "Mon, 22 Mar 2021 08:43:04 GMT",
"version": "v3"
},
{
"created": "Fri, 20 Aug 2021 14:35:44 GMT",
"version": "v4"
}
] | 2022-06-13 | [
[
"Picek",
"Lukáš",
""
],
[
"Šulc",
"Milan",
""
],
[
"Matas",
"Jiří",
""
],
[
"Heilmann-Clausen",
"Jacob",
""
],
[
"Jeppesen",
"Thomas S.",
""
],
[
"Læssøe",
"Thomas",
""
],
[
"Frøslev",
"Tobias",
""
]
] | We introduce a novel fine-grained dataset and benchmark, the Danish Fungi 2020 (DF20). The dataset, constructed from observations submitted to the Atlas of Danish Fungi, is unique in its taxonomy-accurate class labels, small number of errors, highly unbalanced long-tailed class distribution, rich observation metadata, ... |
1605.00398 | Akshay Khatri | Akshay Khatri, Sankalp Kolhe, Nupur Giri | Dynamic Address Allocation Algorithm for Mobile Ad hoc Networks | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A Mobile Ad hoc network (MANET) consists of nodes which use multi-hop
communication to establish connection between nodes. Traditional infrastructure
based systems use a centralized architecture for address allocation. However,
this is not possible in Ad hoc networks due to their dynamic structure. Many
schemes have ... | [
{
"created": "Mon, 2 May 2016 09:10:44 GMT",
"version": "v1"
}
] | 2016-05-03 | [
[
"Khatri",
"Akshay",
""
],
[
"Kolhe",
"Sankalp",
""
],
[
"Giri",
"Nupur",
""
]
] | A Mobile Ad hoc network (MANET) consists of nodes which use multi-hop communication to establish connection between nodes. Traditional infrastructure based systems use a centralized architecture for address allocation. However, this is not possible in Ad hoc networks due to their dynamic structure. Many schemes have be... |
2404.14406 | Kartik Narayan | Kartik Narayan, Vishal M. Patel | Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing | Accepted in FG2024, Project Page -
https://kartik-3004.github.io/hyp-oc/ | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Face recognition technology has become an integral part of modern security
systems and user authentication processes. However, these systems are
vulnerable to spoofing attacks and can easily be circumvented. Most prior
research in face anti-spoofing (FAS) approaches it as a two-class
classification task where models ... | [
{
"created": "Mon, 22 Apr 2024 17:59:18 GMT",
"version": "v1"
}
] | 2024-04-23 | [
[
"Narayan",
"Kartik",
""
],
[
"Patel",
"Vishal M.",
""
]
] | Face recognition technology has become an integral part of modern security systems and user authentication processes. However, these systems are vulnerable to spoofing attacks and can easily be circumvented. Most prior research in face anti-spoofing (FAS) approaches it as a two-class classification task where models ar... |
2212.07618 | Mengnan Shi | Bohao Li, Chang Liu, Mengnan Shi, Xiaozhong Chen, Xiangyang Ji,
Qixiang Ye | Proposal Distribution Calibration for Few-Shot Object Detection | This paper is under review in IEEE TNNLS | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Adapting object detectors learned with sufficient supervision to novel
classes under low data regimes is charming yet challenging. In few-shot object
detection (FSOD), the two-step training paradigm is widely adopted to mitigate
the severe sample imbalance, i.e., holistic pre-training on base classes, then
partial fi... | [
{
"created": "Thu, 15 Dec 2022 05:09:11 GMT",
"version": "v1"
}
] | 2022-12-16 | [
[
"Li",
"Bohao",
""
],
[
"Liu",
"Chang",
""
],
[
"Shi",
"Mengnan",
""
],
[
"Chen",
"Xiaozhong",
""
],
[
"Ji",
"Xiangyang",
""
],
[
"Ye",
"Qixiang",
""
]
] | Adapting object detectors learned with sufficient supervision to novel classes under low data regimes is charming yet challenging. In few-shot object detection (FSOD), the two-step training paradigm is widely adopted to mitigate the severe sample imbalance, i.e., holistic pre-training on base classes, then partial fine... |
1612.08845 | Toni Heidenreich | Toni Heidenreich | The formal-logical characterisation of lies, deception, and associated
notions | Literature review prepared as a student at King's College London | null | null | null | cs.LO cs.AI cs.MA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Defining various dishonest notions in a formal way is a key step to enable
intelligent agents to act in untrustworthy environments. This review evaluates
the literature for this topic by looking at formal definitions based on modal
logic as well as other formal approaches. Criteria from philosophical
groundwork is us... | [
{
"created": "Wed, 28 Dec 2016 10:35:05 GMT",
"version": "v1"
}
] | 2016-12-30 | [
[
"Heidenreich",
"Toni",
""
]
] | Defining various dishonest notions in a formal way is a key step to enable intelligent agents to act in untrustworthy environments. This review evaluates the literature for this topic by looking at formal definitions based on modal logic as well as other formal approaches. Criteria from philosophical groundwork is used... |
2006.11456 | Abiola Osho | Abiola Osho and Ethan Tucker and George Amariucai | Implicit Crowdsourcing for Identifying Abusive Behavior in Online Social
Networks | null | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The increased use of online social networks for the dissemination of
information comes with the misuse of the internet for cyberbullying,
cybercrime, spam, vandalism, amongst other things. To proactively identify
abuse in the networks, we propose a model to identify abusive posts by
crowdsourcing. The crowdsourcing p... | [
{
"created": "Sat, 20 Jun 2020 01:14:30 GMT",
"version": "v1"
}
] | 2020-06-23 | [
[
"Osho",
"Abiola",
""
],
[
"Tucker",
"Ethan",
""
],
[
"Amariucai",
"George",
""
]
] | The increased use of online social networks for the dissemination of information comes with the misuse of the internet for cyberbullying, cybercrime, spam, vandalism, amongst other things. To proactively identify abuse in the networks, we propose a model to identify abusive posts by crowdsourcing. The crowdsourcing par... |
2001.09046 | Bart Smets | Bart Smets, Jim Portegies, Erik Bekkers, Remco Duits | PDE-based Group Equivariant Convolutional Neural Networks | 27 pages, 18 figures. v2 changes: - mentioned KerCNNs - added section
Generalization of G-CNNs - clarification that the experiments utilized
automatic differentiation and SGD. v3 changes: - streamlined theoretical
framework - formulation and proof Thm.1 & 2 - expanded experiments. v4
changes: typos in Prop.5 an... | null | 10.1007/s10851-022-01114-x | null | cs.LG cs.CV math.DG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a PDE-based framework that generalizes Group equivariant
Convolutional Neural Networks (G-CNNs). In this framework, a network layer is
seen as a set of PDE-solvers where geometrically meaningful PDE-coefficients
become the layer's trainable weights. Formulating our PDEs on homogeneous
spaces allows these n... | [
{
"created": "Fri, 24 Jan 2020 15:00:46 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Mar 2020 14:16:16 GMT",
"version": "v2"
},
{
"created": "Mon, 12 Jul 2021 07:56:22 GMT",
"version": "v3"
},
{
"created": "Sat, 24 Jul 2021 11:14:06 GMT",
"version": "v4"
},
{
"cr... | 2022-08-24 | [
[
"Smets",
"Bart",
""
],
[
"Portegies",
"Jim",
""
],
[
"Bekkers",
"Erik",
""
],
[
"Duits",
"Remco",
""
]
] | We present a PDE-based framework that generalizes Group equivariant Convolutional Neural Networks (G-CNNs). In this framework, a network layer is seen as a set of PDE-solvers where geometrically meaningful PDE-coefficients become the layer's trainable weights. Formulating our PDEs on homogeneous spaces allows these net... |
1304.0954 | Marko Horvat | Marko Horvat, Anton Grbin, Gordan Gledec | Labeling and Retrieval of Emotionally-Annotated Images using WordNet | 16 pages, 4 figures. arXiv admin note: substantial text overlap with
arXiv:1302.2223 | International Journal of Knowledge-Based and Intelligent
Engineering Systems, Vol. 17, No. 2, pp. 157-166, 2013 | null | null | cs.IR cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Repositories of images with semantic and emotion content descriptions are
valuable tools in many areas such as Affective Computing and Human-Computer
Interaction, but they are also important in the development of multimodal
searchable online databases. Ever growing number of image documents available
on the Internet ... | [
{
"created": "Wed, 3 Apr 2013 13:58:56 GMT",
"version": "v1"
},
{
"created": "Fri, 10 Jan 2014 23:27:00 GMT",
"version": "v2"
}
] | 2017-12-06 | [
[
"Horvat",
"Marko",
""
],
[
"Grbin",
"Anton",
""
],
[
"Gledec",
"Gordan",
""
]
] | Repositories of images with semantic and emotion content descriptions are valuable tools in many areas such as Affective Computing and Human-Computer Interaction, but they are also important in the development of multimodal searchable online databases. Ever growing number of image documents available on the Internet co... |
2006.14683 | Itzik Malkiel | Itzik Malkiel, Lior Wolf | MTAdam: Automatic Balancing of Multiple Training Loss Terms | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | When training neural models, it is common to combine multiple loss terms. The
balancing of these terms requires considerable human effort and is
computationally demanding. Moreover, the optimal trade-off between the loss
term can change as training progresses, especially for adversarial terms. In
this work, we genera... | [
{
"created": "Thu, 25 Jun 2020 20:27:27 GMT",
"version": "v1"
}
] | 2020-06-29 | [
[
"Malkiel",
"Itzik",
""
],
[
"Wolf",
"Lior",
""
]
] | When training neural models, it is common to combine multiple loss terms. The balancing of these terms requires considerable human effort and is computationally demanding. Moreover, the optimal trade-off between the loss term can change as training progresses, especially for adversarial terms. In this work, we generali... |
1907.02841 | Li Qiang | Wenxiang Zuo, Qiang Li, Xianming Liu | Depth Restoration: A fast low-rank matrix completion via dual-graph
regularization | The paper will be added more experiments. The main idea of the paper
needs to be revamped. Please withdraw the paper | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As a real scenes sensing approach, depth information obtains the widespread
applications. However, resulting from the restriction of depth sensing
technology, the depth map captured in practice usually suffers terrible noise
and missing values at plenty of pixels. In this paper, we propose a fast
low-rank matrix comp... | [
{
"created": "Fri, 5 Jul 2019 14:09:31 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Oct 2019 11:06:38 GMT",
"version": "v2"
},
{
"created": "Thu, 31 Oct 2019 13:14:36 GMT",
"version": "v3"
},
{
"created": "Wed, 8 Jan 2020 09:29:44 GMT",
"version": "v4"
}
] | 2020-01-09 | [
[
"Zuo",
"Wenxiang",
""
],
[
"Li",
"Qiang",
""
],
[
"Liu",
"Xianming",
""
]
] | As a real scenes sensing approach, depth information obtains the widespread applications. However, resulting from the restriction of depth sensing technology, the depth map captured in practice usually suffers terrible noise and missing values at plenty of pixels. In this paper, we propose a fast low-rank matrix comple... |
2004.10495 | Dong Wang | Dong Wang, Xiaoqian Qin, Fengyi Song, Li Cheng | Stabilizing Training of Generative Adversarial Nets via Langevin Stein
Variational Gradient Descent | null | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generative adversarial networks (GANs), famous for the capability of learning
complex underlying data distribution, are however known to be tricky in the
training process, which would probably result in mode collapse or performance
deterioration. Current approaches of dealing with GANs' issues almost utilize
some pra... | [
{
"created": "Wed, 22 Apr 2020 11:20:04 GMT",
"version": "v1"
}
] | 2020-04-23 | [
[
"Wang",
"Dong",
""
],
[
"Qin",
"Xiaoqian",
""
],
[
"Song",
"Fengyi",
""
],
[
"Cheng",
"Li",
""
]
] | Generative adversarial networks (GANs), famous for the capability of learning complex underlying data distribution, are however known to be tricky in the training process, which would probably result in mode collapse or performance deterioration. Current approaches of dealing with GANs' issues almost utilize some pract... |
2112.13050 | Susmit Agrawal | K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu | Self-Gated Memory Recurrent Network for Efficient Scalable HDR
Deghosting | 12 pages | IEEE Transactions on Computational Imaging (Volume 7, 2021)
1228-1239 | 10.1109/TCI.2021.3112920 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | We propose a novel recurrent network-based HDR deghosting method for fusing
arbitrary length dynamic sequences. The proposed method uses convolutional and
recurrent architectures to generate visually pleasing, ghosting-free HDR
images. We introduce a new recurrent cell architecture, namely Self-Gated
Memory (SGM) cel... | [
{
"created": "Fri, 24 Dec 2021 12:36:33 GMT",
"version": "v1"
}
] | 2021-12-28 | [
[
"Prabhakar",
"K. Ram",
""
],
[
"Agrawal",
"Susmit",
""
],
[
"Babu",
"R. Venkatesh",
""
]
] | We propose a novel recurrent network-based HDR deghosting method for fusing arbitrary length dynamic sequences. The proposed method uses convolutional and recurrent architectures to generate visually pleasing, ghosting-free HDR images. We introduce a new recurrent cell architecture, namely Self-Gated Memory (SGM) cell,... |
1904.10522 | Hyunsu Cho | Theodore Vasiloudis, Hyunsu Cho, Henrik Bostr\"om | Block-distributed Gradient Boosted Trees | SIGIR 2019 | null | null | null | cs.LG cs.IR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Gradient Boosted Tree (GBT) algorithm is one of the most popular machine
learning algorithms used in production, for tasks that include Click-Through
Rate (CTR) prediction and learning-to-rank. To deal with the massive datasets
available today, many distributed GBT methods have been proposed. However, they
all as... | [
{
"created": "Tue, 23 Apr 2019 20:10:36 GMT",
"version": "v1"
},
{
"created": "Tue, 28 May 2019 19:32:35 GMT",
"version": "v2"
}
] | 2019-05-30 | [
[
"Vasiloudis",
"Theodore",
""
],
[
"Cho",
"Hyunsu",
""
],
[
"Boström",
"Henrik",
""
]
] | The Gradient Boosted Tree (GBT) algorithm is one of the most popular machine learning algorithms used in production, for tasks that include Click-Through Rate (CTR) prediction and learning-to-rank. To deal with the massive datasets available today, many distributed GBT methods have been proposed. However, they all assu... |
2306.09547 | Daria Reshetova | Daria Reshetova, Wei-Ning Chen, Ayfer \"Ozg\"ur | Training generative models from privatized data | null | null | null | null | cs.LG cs.CR cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Local differential privacy is a powerful method for privacy-preserving data
collection. In this paper, we develop a framework for training Generative
Adversarial Networks (GANs) on differentially privatized data. We show that
entropic regularization of optimal transport - a popular regularization method
in the litera... | [
{
"created": "Thu, 15 Jun 2023 23:28:45 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Mar 2024 01:54:15 GMT",
"version": "v2"
}
] | 2024-03-04 | [
[
"Reshetova",
"Daria",
""
],
[
"Chen",
"Wei-Ning",
""
],
[
"Özgür",
"Ayfer",
""
]
] | Local differential privacy is a powerful method for privacy-preserving data collection. In this paper, we develop a framework for training Generative Adversarial Networks (GANs) on differentially privatized data. We show that entropic regularization of optimal transport - a popular regularization method in the literatu... |
1809.01301 | Pamela Shapiro | Pamela Shapiro and Kevin Duh | BPE and CharCNNs for Translation of Morphology: A Cross-Lingual
Comparison and Analysis | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Neural Machine Translation (NMT) in low-resource settings and of
morphologically rich languages is made difficult in part by data sparsity of
vocabulary words. Several methods have been used to help reduce this sparsity,
notably Byte-Pair Encoding (BPE) and a character-based CNN layer (charCNN).
However, the charCNN ... | [
{
"created": "Wed, 5 Sep 2018 02:26:09 GMT",
"version": "v1"
},
{
"created": "Sat, 8 Sep 2018 23:36:53 GMT",
"version": "v2"
}
] | 2018-09-11 | [
[
"Shapiro",
"Pamela",
""
],
[
"Duh",
"Kevin",
""
]
] | Neural Machine Translation (NMT) in low-resource settings and of morphologically rich languages is made difficult in part by data sparsity of vocabulary words. Several methods have been used to help reduce this sparsity, notably Byte-Pair Encoding (BPE) and a character-based CNN layer (charCNN). However, the charCNN ha... |
cs/0109012 | Michael Geist | Michael Geist | Is There a There There: Towards Greater Certainty for Internet
Jurisdiction | 29th TPRC Conference, 2001 | 16 (3) Berkeley Tech. LJ (forthcoming 2001) | null | TPRC-2001-017 | cs.CY | null | The unique challenge presented by the Internet is that compliance with local
laws is rarely sufficient to assure a business that it has limited its exposure
to legal risk. The paper identifies why the challenge of adequately accounting
for the legal risk arising from Internet jurisdiction has been aggravated in
recen... | [
{
"created": "Tue, 11 Sep 2001 03:22:25 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Geist",
"Michael",
""
]
] | The unique challenge presented by the Internet is that compliance with local laws is rarely sufficient to assure a business that it has limited its exposure to legal risk. The paper identifies why the challenge of adequately accounting for the legal risk arising from Internet jurisdiction has been aggravated in recent ... |
2303.06611 | Weilin Lin | Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang | AutoDenoise: Automatic Data Instance Denoising for Recommendations | 9 pages, 4 figures, 5 tables, conference | null | 10.1145/3543507.3583339 | null | cs.IR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Historical user-item interaction datasets are essential in training modern
recommender systems for predicting user preferences. However, the arbitrary
user behaviors in most recommendation scenarios lead to a large volume of noisy
data instances being recorded, which cannot fully represent their true
interests. While... | [
{
"created": "Sun, 12 Mar 2023 08:36:15 GMT",
"version": "v1"
}
] | 2023-03-14 | [
[
"Lin",
"Weilin",
""
],
[
"Zhao",
"Xiangyu",
""
],
[
"Wang",
"Yejing",
""
],
[
"Zhu",
"Yuanshao",
""
],
[
"Wang",
"Wanyu",
""
]
] | Historical user-item interaction datasets are essential in training modern recommender systems for predicting user preferences. However, the arbitrary user behaviors in most recommendation scenarios lead to a large volume of noisy data instances being recorded, which cannot fully represent their true interests. While a... |
2301.07849 | Giovanni Viglietta | Giuseppe A. Di Luna and Giovanni Viglietta | Efficient Computation in Congested Anonymous Dynamic Networks | 26 pages, 2 figures | null | null | null | cs.DC cs.DM | http://creativecommons.org/licenses/by/4.0/ | An anonymous dynamic network is a network of indistinguishable processes
whose communication links may appear or disappear unpredictably over time.
Previous research has shown that deterministically computing an arbitrary
function of a multiset of input values given to these processes takes only a
linear number of co... | [
{
"created": "Thu, 19 Jan 2023 02:11:47 GMT",
"version": "v1"
},
{
"created": "Sat, 6 May 2023 15:22:15 GMT",
"version": "v2"
},
{
"created": "Tue, 5 Sep 2023 03:03:07 GMT",
"version": "v3"
},
{
"created": "Sat, 29 Jun 2024 12:53:12 GMT",
"version": "v4"
}
] | 2024-07-02 | [
[
"Di Luna",
"Giuseppe A.",
""
],
[
"Viglietta",
"Giovanni",
""
]
] | An anonymous dynamic network is a network of indistinguishable processes whose communication links may appear or disappear unpredictably over time. Previous research has shown that deterministically computing an arbitrary function of a multiset of input values given to these processes takes only a linear number of comm... |
2407.18813 | Chenming Wu | Zhe Xin and Yufeng Yue and Liangjun Zhang and Chenming Wu | HERO-SLAM: Hybrid Enhanced Robust Optimization of Neural SLAM | Accepted to ICRA 2024 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Simultaneous Localization and Mapping (SLAM) is a fundamental task in
robotics, driving numerous applications such as autonomous driving and virtual
reality. Recent progress on neural implicit SLAM has shown encouraging and
impressive results. However, the robustness of neural SLAM, particularly in
challenging or dat... | [
{
"created": "Fri, 26 Jul 2024 15:22:14 GMT",
"version": "v1"
}
] | 2024-07-29 | [
[
"Xin",
"Zhe",
""
],
[
"Yue",
"Yufeng",
""
],
[
"Zhang",
"Liangjun",
""
],
[
"Wu",
"Chenming",
""
]
] | Simultaneous Localization and Mapping (SLAM) is a fundamental task in robotics, driving numerous applications such as autonomous driving and virtual reality. Recent progress on neural implicit SLAM has shown encouraging and impressive results. However, the robustness of neural SLAM, particularly in challenging or data-... |
cs/0702083 | Serebrenik Alexander | Alexander Serebrenik, Tom Schrijvers, Bart Demoen | Improving Prolog programs: Refactoring for Prolog | To appear in Theory and Practice of Logic Programming (TPLP) | null | null | 2006-1 | cs.SE | null | Refactoring is an established technique from the object-oriented (OO)
programming community to restructure code: it aims at improving software
readability, maintainability and extensibility. Although refactoring is not
tied to the OO-paradigm in particular, its ideas have not been applied to Logic
Programming until n... | [
{
"created": "Wed, 14 Feb 2007 09:53:37 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Serebrenik",
"Alexander",
""
],
[
"Schrijvers",
"Tom",
""
],
[
"Demoen",
"Bart",
""
]
] | Refactoring is an established technique from the object-oriented (OO) programming community to restructure code: it aims at improving software readability, maintainability and extensibility. Although refactoring is not tied to the OO-paradigm in particular, its ideas have not been applied to Logic Programming until now... |
2306.01116 | Julien Launay | Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru,
Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei,
Julien Launay | The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora
with Web Data, and Web Data Only | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models are commonly trained on a mixture of filtered web data
and curated high-quality corpora, such as social media conversations, books, or
technical papers. This curation process is believed to be necessary to produce
performant models with broad zero-shot generalization abilities. However, as
large... | [
{
"created": "Thu, 1 Jun 2023 20:03:56 GMT",
"version": "v1"
}
] | 2023-06-05 | [
[
"Penedo",
"Guilherme",
""
],
[
"Malartic",
"Quentin",
""
],
[
"Hesslow",
"Daniel",
""
],
[
"Cojocaru",
"Ruxandra",
""
],
[
"Cappelli",
"Alessandro",
""
],
[
"Alobeidli",
"Hamza",
""
],
[
"Pannier",
"Baptiste",
... | Large language models are commonly trained on a mixture of filtered web data and curated high-quality corpora, such as social media conversations, books, or technical papers. This curation process is believed to be necessary to produce performant models with broad zero-shot generalization abilities. However, as larger ... |
1701.00416 | Tom Mens | Alexandre Decan, Mathieu Goeminne, Tom Mens | On the Interaction of Relational Database Access Technologies in Open
Source Java Projects | Postproceeding of the SATTOSE 2015 Research Seminar on Advanced Tools
and Techniques for Software Evolution. To be published in CEUR.WS workshop
proceedings (2017) | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article presents an empirical study of how the use of relational
database access technologies in open source Java projects evolves over time.
Our observations may be useful to project managers to make more informed
decisions on which technologies to introduce into an existing project and when.
We selected 2,457 ... | [
{
"created": "Mon, 2 Jan 2017 15:07:36 GMT",
"version": "v1"
}
] | 2017-01-03 | [
[
"Decan",
"Alexandre",
""
],
[
"Goeminne",
"Mathieu",
""
],
[
"Mens",
"Tom",
""
]
] | This article presents an empirical study of how the use of relational database access technologies in open source Java projects evolves over time. Our observations may be useful to project managers to make more informed decisions on which technologies to introduce into an existing project and when. We selected 2,457 Ja... |
1401.3556 | Sergiy Vorobyov A. | Alex E. Geyer, Reza Nikjah, Sergiy A. Vorobyov, and Norman C. Beaulieu | Equivalent Codes, Optimality, and Performance Analysis of OSTBC:
Textbook Study | 33 pages, 12 figures, 5 tables, full size journal paper, Finished in
Oct. 2009, Unpublished | IEEE Trans. Communications, vol. 63, no. 8, pp. 2912-2923, Aug.
2015 | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An equivalent model for a multi-input multi-output (MIMO) communication
system with orthogonal space-time block codes (OSTBCs) is proposed based on a
newly revealed connection between OSTBCs and Euclidean codes. Examples of
distance spectra, signal constellations, and signal coordinate diagrams of
Euclidean codes equ... | [
{
"created": "Wed, 15 Jan 2014 12:07:56 GMT",
"version": "v1"
}
] | 2016-03-03 | [
[
"Geyer",
"Alex E.",
""
],
[
"Nikjah",
"Reza",
""
],
[
"Vorobyov",
"Sergiy A.",
""
],
[
"Beaulieu",
"Norman C.",
""
]
] | An equivalent model for a multi-input multi-output (MIMO) communication system with orthogonal space-time block codes (OSTBCs) is proposed based on a newly revealed connection between OSTBCs and Euclidean codes. Examples of distance spectra, signal constellations, and signal coordinate diagrams of Euclidean codes equiv... |
1910.05268 | Asier Mujika | Florian Meier and Asier Mujika and Marcelo Matheus Gauy and Angelika
Steger | Improving Gradient Estimation in Evolutionary Strategies With Past
Descent Directions | null | null | null | null | cs.NE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Evolutionary Strategies (ES) are known to be an effective black-box
optimization technique for deep neural networks when the true gradients cannot
be computed, such as in Reinforcement Learning. We continue a recent line of
research that uses surrogate gradients to improve the gradient estimation of
ES. We propose a ... | [
{
"created": "Fri, 11 Oct 2019 16:00:39 GMT",
"version": "v1"
}
] | 2019-10-14 | [
[
"Meier",
"Florian",
""
],
[
"Mujika",
"Asier",
""
],
[
"Gauy",
"Marcelo Matheus",
""
],
[
"Steger",
"Angelika",
""
]
] | Evolutionary Strategies (ES) are known to be an effective black-box optimization technique for deep neural networks when the true gradients cannot be computed, such as in Reinforcement Learning. We continue a recent line of research that uses surrogate gradients to improve the gradient estimation of ES. We propose a no... |
2204.03479 | Zuzana Jel\v{c}icov\'a | Zuzana Jel\v{c}icov\'a and Marian Verhelst | Delta Keyword Transformer: Bringing Transformers to the Edge through
Dynamically Pruned Multi-Head Self-Attention | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Multi-head self-attention forms the core of Transformer networks. However,
their quadratically growing complexity with respect to the input sequence
length impedes their deployment on resource-constrained edge devices. We
address this challenge by proposing a dynamic pruning method, which exploits
the temporal stabil... | [
{
"created": "Sun, 20 Mar 2022 20:59:13 GMT",
"version": "v1"
}
] | 2022-04-08 | [
[
"Jelčicová",
"Zuzana",
""
],
[
"Verhelst",
"Marian",
""
]
] | Multi-head self-attention forms the core of Transformer networks. However, their quadratically growing complexity with respect to the input sequence length impedes their deployment on resource-constrained edge devices. We address this challenge by proposing a dynamic pruning method, which exploits the temporal stabilit... |
2404.03081 | Hans De Sterck | Yifan Qu, Oliver Krzysik, Hans De Sterck, Omer Ege Kara | First-order PDES for Graph Neural Networks: Advection And Burgers
Equation Models | null | null | null | null | cs.LG cs.NA math.NA | http://creativecommons.org/licenses/by/4.0/ | Graph Neural Networks (GNNs) have established themselves as the preferred
methodology in a multitude of domains, ranging from computer vision to
computational biology, especially in contexts where data inherently conform to
graph structures. While many existing methods have endeavored to model GNNs
using various tech... | [
{
"created": "Wed, 3 Apr 2024 21:47:02 GMT",
"version": "v1"
}
] | 2024-04-05 | [
[
"Qu",
"Yifan",
""
],
[
"Krzysik",
"Oliver",
""
],
[
"De Sterck",
"Hans",
""
],
[
"Kara",
"Omer Ege",
""
]
] | Graph Neural Networks (GNNs) have established themselves as the preferred methodology in a multitude of domains, ranging from computer vision to computational biology, especially in contexts where data inherently conform to graph structures. While many existing methods have endeavored to model GNNs using various techni... |
1705.02038 | Jiazi Zhang | Jiazi Zhang and Zhigang Chu and Lalitha Sankar and Oliver Kosut | False Data Injection Attacks on Phasor Measurements That Bypass Low-rank
Decomposition | 6 pages, 4 figures, submitted to 2017 IEEE International Conference
on Smart Grid Communications (SmartGridComm) | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the vulnerability of phasor measurement units (PMUs) to
false data injection (FDI) attacks. Prior work demonstrated that unobservable
FDI attacks that can bypass traditional bad data detectors based on measurement
residuals can be identified by detector based on low-rank decomposition (LD).
In this... | [
{
"created": "Thu, 4 May 2017 22:33:04 GMT",
"version": "v1"
}
] | 2017-05-08 | [
[
"Zhang",
"Jiazi",
""
],
[
"Chu",
"Zhigang",
""
],
[
"Sankar",
"Lalitha",
""
],
[
"Kosut",
"Oliver",
""
]
] | This paper studies the vulnerability of phasor measurement units (PMUs) to false data injection (FDI) attacks. Prior work demonstrated that unobservable FDI attacks that can bypass traditional bad data detectors based on measurement residuals can be identified by detector based on low-rank decomposition (LD). In this w... |
1907.12430 | Alexander V Terekhov | Alexander V. Terekhov and J. Kevin O'Regan | Learning abstract perceptual notions: the example of space | arXiv admin note: text overlap with arXiv:1308.2124 | null | null | null | cs.AI q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Humans are extremely swift learners. We are able to grasp highly abstract
notions, whether they come from art perception or pure mathematics. Current
machine learning techniques demonstrate astonishing results in extracting
patterns in information. Yet the abstract notions we possess are more than just
statistical pa... | [
{
"created": "Wed, 24 Jul 2019 17:57:54 GMT",
"version": "v1"
}
] | 2019-07-30 | [
[
"Terekhov",
"Alexander V.",
""
],
[
"O'Regan",
"J. Kevin",
""
]
] | Humans are extremely swift learners. We are able to grasp highly abstract notions, whether they come from art perception or pure mathematics. Current machine learning techniques demonstrate astonishing results in extracting patterns in information. Yet the abstract notions we possess are more than just statistical patt... |
2203.05735 | Quoc Nguyen | Huu-Quoc Nguyen, Tien-Dung Nguyen, Van-Nam Pham, Xuan-Qui Pham,
Quang-Thai Ngo, Eui-Nam Huh | An Efficient Video Streaming Architecture with QoS Control for Virtual
Desktop Infrastructure in Cloud Computing | 26 pages, Multimedia Tools and Applications Journal | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | In virtual desktop infrastructure (VDI) environments, the remote display
protocol has a big responsibility to transmit video data from a data
center-hosted desktop to the endpoint. The protocol must ensure a high level of
client perceived end-to-end quality of service (QoS) under heavy work load
conditions. Each remo... | [
{
"created": "Fri, 11 Mar 2022 03:22:11 GMT",
"version": "v1"
}
] | 2022-03-14 | [
[
"Nguyen",
"Huu-Quoc",
""
],
[
"Nguyen",
"Tien-Dung",
""
],
[
"Pham",
"Van-Nam",
""
],
[
"Pham",
"Xuan-Qui",
""
],
[
"Ngo",
"Quang-Thai",
""
],
[
"Huh",
"Eui-Nam",
""
]
] | In virtual desktop infrastructure (VDI) environments, the remote display protocol has a big responsibility to transmit video data from a data center-hosted desktop to the endpoint. The protocol must ensure a high level of client perceived end-to-end quality of service (QoS) under heavy work load conditions. Each remote... |
2008.07689 | Yaorui Zhang | Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong,
Michael Zhang, Daniel DiPietro, Bo Zhu | Soft Multicopter Control using Neural Dynamics Identification | null | null | null | null | cs.RO cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Dynamic control of a soft-body robot to deliver complex behaviors with
low-dimensional actuation inputs is challenging. In this paper, we present a
computational approach to automatically generate versatile, underactuated
control policies that drives soft-bodied machines with complicated structures
and nonlinear dyna... | [
{
"created": "Tue, 18 Aug 2020 01:38:18 GMT",
"version": "v1"
},
{
"created": "Mon, 31 Aug 2020 19:37:18 GMT",
"version": "v2"
},
{
"created": "Wed, 2 Sep 2020 09:44:15 GMT",
"version": "v3"
},
{
"created": "Tue, 1 Dec 2020 09:11:02 GMT",
"version": "v4"
}
] | 2020-12-02 | [
[
"Deng",
"Yitong",
""
],
[
"Zhang",
"Yaorui",
""
],
[
"He",
"Xingzhe",
""
],
[
"Yang",
"Shuqi",
""
],
[
"Tong",
"Yunjin",
""
],
[
"Zhang",
"Michael",
""
],
[
"DiPietro",
"Daniel",
""
],
[
"Zhu",
... | Dynamic control of a soft-body robot to deliver complex behaviors with low-dimensional actuation inputs is challenging. In this paper, we present a computational approach to automatically generate versatile, underactuated control policies that drives soft-bodied machines with complicated structures and nonlinear dynami... |
1206.4126 | Yousuf Ibrahim Khan | Yousuf Ibrahim Khan | Image based Cryptography from a distance | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An information is a message which is received and understood. Information can
be sent one person to another over a long range but the process of sending
information must be done in a secure way especially in case of a private
message. Mathematicians and Engineers have historically relied on different
algorithmic tech... | [
{
"created": "Tue, 19 Jun 2012 06:02:32 GMT",
"version": "v1"
}
] | 2012-06-20 | [
[
"Khan",
"Yousuf Ibrahim",
""
]
] | An information is a message which is received and understood. Information can be sent one person to another over a long range but the process of sending information must be done in a secure way especially in case of a private message. Mathematicians and Engineers have historically relied on different algorithmic techni... |
1908.01650 | Chunming Tang | Sihem Mesnager, Yanfeng Qi, Hongming Ru, Chunming Tang | Minimal linear codes from characteristic functions | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Minimal linear codes have interesting applications in secret sharing schemes
and secure two-party computation. This paper uses characteristic functions of
some subsets of $\mathbb{F}_q$ to construct minimal linear codes. By properties
of characteristic functions, we can obtain more minimal binary linear codes
from kn... | [
{
"created": "Mon, 5 Aug 2019 14:40:23 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Nov 2019 11:45:55 GMT",
"version": "v2"
}
] | 2019-11-21 | [
[
"Mesnager",
"Sihem",
""
],
[
"Qi",
"Yanfeng",
""
],
[
"Ru",
"Hongming",
""
],
[
"Tang",
"Chunming",
""
]
] | Minimal linear codes have interesting applications in secret sharing schemes and secure two-party computation. This paper uses characteristic functions of some subsets of $\mathbb{F}_q$ to construct minimal linear codes. By properties of characteristic functions, we can obtain more minimal binary linear codes from know... |
2202.04076 | Kun Wang | Kun Wang, Jingyi Wang, Christopher M. Poskitt, Xiangxiang Chen, Jun
Sun, and Peng Cheng | K-ST: A Formal Executable Semantics of the Structured Text Language for
PLCs | Accepted by IEEE Transactions on Software Engineering | IEEE Trans. Software Eng., 2023 | 10.1109/TSE.2023.3315292 | null | cs.PL cs.SE | http://creativecommons.org/licenses/by/4.0/ | Programmable Logic Controllers (PLCs) are responsible for automating process
control in many industrial systems (e.g. in manufacturing and public
infrastructure), and thus it is critical to ensure that they operate correctly
and safely. The majority of PLCs are programmed in languages such as Structured
Text (ST). Ho... | [
{
"created": "Tue, 8 Feb 2022 17:34:08 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Sep 2023 02:05:17 GMT",
"version": "v2"
}
] | 2023-09-19 | [
[
"Wang",
"Kun",
""
],
[
"Wang",
"Jingyi",
""
],
[
"Poskitt",
"Christopher M.",
""
],
[
"Chen",
"Xiangxiang",
""
],
[
"Sun",
"Jun",
""
],
[
"Cheng",
"Peng",
""
]
] | Programmable Logic Controllers (PLCs) are responsible for automating process control in many industrial systems (e.g. in manufacturing and public infrastructure), and thus it is critical to ensure that they operate correctly and safely. The majority of PLCs are programmed in languages such as Structured Text (ST). Howe... |
2306.17804 | Darren Strash | Anthony Hevia, Benjamin Kallus, Summer McClintic, Samantha Reisner,
Darren Strash, and Johnathan Wilson | Solving Edge Clique Cover Exactly via Synergistic Data Reduction | 22 pages, 5 figures, 6 tables, accepted at the 31st Annual European
Symposium on Algorithms (ESA 2023) | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | The edge clique cover (ECC) problem -- where the goal is to find a minimum
cardinality set of cliques that cover all the edges of a graph -- is a classic
NP-hard problem that has received much attention from both the theoretical and
experimental algorithms communities. While small sparse graphs can be solved
exactly ... | [
{
"created": "Fri, 30 Jun 2023 17:06:04 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Jul 2023 18:04:39 GMT",
"version": "v2"
}
] | 2023-07-06 | [
[
"Hevia",
"Anthony",
""
],
[
"Kallus",
"Benjamin",
""
],
[
"McClintic",
"Summer",
""
],
[
"Reisner",
"Samantha",
""
],
[
"Strash",
"Darren",
""
],
[
"Wilson",
"Johnathan",
""
]
] | The edge clique cover (ECC) problem -- where the goal is to find a minimum cardinality set of cliques that cover all the edges of a graph -- is a classic NP-hard problem that has received much attention from both the theoretical and experimental algorithms communities. While small sparse graphs can be solved exactly vi... |
2209.14468 | Yiheng Shen | Kamesh Munagala, Yiheng Shen, Kangning Wang | Auditing for Core Stability in Participatory Budgeting | accepted by the 18th Conference on Web and Internet Economics (WINE
2022) | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the participatory budgeting problem where each of $n$ voters
specifies additive utilities over $m$ candidate projects with given sizes, and
the goal is to choose a subset of projects (i.e., a committee) with total size
at most $k$. Participatory budgeting mathematically generalizes multiwinner
elections, ... | [
{
"created": "Wed, 28 Sep 2022 23:13:06 GMT",
"version": "v1"
}
] | 2022-09-30 | [
[
"Munagala",
"Kamesh",
""
],
[
"Shen",
"Yiheng",
""
],
[
"Wang",
"Kangning",
""
]
] | We consider the participatory budgeting problem where each of $n$ voters specifies additive utilities over $m$ candidate projects with given sizes, and the goal is to choose a subset of projects (i.e., a committee) with total size at most $k$. Participatory budgeting mathematically generalizes multiwinner elections, an... |
2408.01196 | Zhang Shanfan | Shanfan Zhang, Xiaoting Shen, Zhan Bu | Game Theory Based Community-Aware Opinion Dynamics | 36 pages, 15figures | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Examining the mechanisms underlying the formation and evolution of opinions
within real-world social systems, which consist of numerous individuals, can
provide valuable insights for effective social functioning and informed
business decision making. The focus of our study is on the dynamics of opinions
inside a netw... | [
{
"created": "Fri, 2 Aug 2024 11:24:56 GMT",
"version": "v1"
}
] | 2024-08-05 | [
[
"Zhang",
"Shanfan",
""
],
[
"Shen",
"Xiaoting",
""
],
[
"Bu",
"Zhan",
""
]
] | Examining the mechanisms underlying the formation and evolution of opinions within real-world social systems, which consist of numerous individuals, can provide valuable insights for effective social functioning and informed business decision making. The focus of our study is on the dynamics of opinions inside a networ... |
1912.12204 | Boyi Liu | Boyi Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu | Federated Imitation Learning: A Novel Framework for Cloud Robotic
Systems with Heterogeneous Sensor Data | arXiv admin note: substantial text overlap with arXiv:1909.00895 | null | null | null | cs.RO cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Humans are capable of learning a new behavior by observing others to perform
the skill. Similarly, robots can also implement this by imitation learning.
Furthermore, if with external guidance, humans can master the new behavior more
efficiently. So, how can robots achieve this? To address the issue, we present
a nove... | [
{
"created": "Tue, 24 Dec 2019 11:23:23 GMT",
"version": "v1"
}
] | 2019-12-30 | [
[
"Liu",
"Boyi",
""
],
[
"Wang",
"Lujia",
""
],
[
"Liu",
"Ming",
""
],
[
"Xu",
"Cheng-Zhong",
""
]
] | Humans are capable of learning a new behavior by observing others to perform the skill. Similarly, robots can also implement this by imitation learning. Furthermore, if with external guidance, humans can master the new behavior more efficiently. So, how can robots achieve this? To address the issue, we present a novel ... |
2311.15512 | Dong Yonghao | Yonghao Dong, Le Wang, Sanpin Zhou, Gang Hua, and Changyin Sun | Sparse Pedestrian Character Learning for Trajectory Prediction | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pedestrian trajectory prediction in a first-person view has recently
attracted much attention due to its importance in autonomous driving. Recent
work utilizes pedestrian character information, \textit{i.e.}, action and
appearance, to improve the learned trajectory embedding and achieves
state-of-the-art performance.... | [
{
"created": "Mon, 27 Nov 2023 03:15:48 GMT",
"version": "v1"
}
] | 2023-11-28 | [
[
"Dong",
"Yonghao",
""
],
[
"Wang",
"Le",
""
],
[
"Zhou",
"Sanpin",
""
],
[
"Hua",
"Gang",
""
],
[
"Sun",
"Changyin",
""
]
] | Pedestrian trajectory prediction in a first-person view has recently attracted much attention due to its importance in autonomous driving. Recent work utilizes pedestrian character information, \textit{i.e.}, action and appearance, to improve the learned trajectory embedding and achieves state-of-the-art performance. H... |
2209.09653 | Tonio Ball | Maryna Kapitonova, Philipp Kellmeyer, Simon Vogt and Tonio Ball | A Framework for Preserving Privacy and Cybersecurity in Brain-Computer
Interfacing Applications | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Brain-Computer Interfaces (BCIs) comprise a rapidly evolving field of
technology with the potential of far-reaching impact in domains ranging from
medical over industrial to artistic, gaming, and military. Today, these
emerging BCI applications are typically still at early technology readiness
levels, but because BCI... | [
{
"created": "Mon, 19 Sep 2022 15:45:13 GMT",
"version": "v1"
}
] | 2022-09-21 | [
[
"Kapitonova",
"Maryna",
""
],
[
"Kellmeyer",
"Philipp",
""
],
[
"Vogt",
"Simon",
""
],
[
"Ball",
"Tonio",
""
]
] | Brain-Computer Interfaces (BCIs) comprise a rapidly evolving field of technology with the potential of far-reaching impact in domains ranging from medical over industrial to artistic, gaming, and military. Today, these emerging BCI applications are typically still at early technology readiness levels, but because BCIs ... |
2112.14890 | Ke Wang | Jiayi Wang, Ke Wang, Boxing Chen, Yu Zhao, Weihua Luo, and Yuqi Zhang | QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task | Winner of WMT 2021 QE shared task 1 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Quality Estimation, as a crucial step of quality control for machine
translation, has been explored for years. The goal is to investigate automatic
methods for estimating the quality of machine translation results without
reference translations. In this year's WMT QE shared task, we utilize the
large-scale XLM-Robert... | [
{
"created": "Thu, 30 Dec 2021 02:27:29 GMT",
"version": "v1"
}
] | 2022-01-03 | [
[
"Wang",
"Jiayi",
""
],
[
"Wang",
"Ke",
""
],
[
"Chen",
"Boxing",
""
],
[
"Zhao",
"Yu",
""
],
[
"Luo",
"Weihua",
""
],
[
"Zhang",
"Yuqi",
""
]
] | Quality Estimation, as a crucial step of quality control for machine translation, has been explored for years. The goal is to investigate automatic methods for estimating the quality of machine translation results without reference translations. In this year's WMT QE shared task, we utilize the large-scale XLM-Roberta ... |
2008.05297 | Umberto Straccia | Franco Alberto Cardillo and Umberto Straccia | Fuzzy OWL-BOOST: Learning Fuzzy Concept Inclusions via Real-Valued
Boosting | null | null | 10.1016/j.fss.2021.07.002 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | OWL ontologies are nowadays a quite popular way to describe structured
knowledge in terms of classes, relations among classes and class instances. In
this paper, given a target class T of an OWL ontology, we address the problem
of learning fuzzy concept inclusion axioms that describe sufficient conditions
for being a... | [
{
"created": "Mon, 3 Aug 2020 15:19:31 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Mar 2021 07:10:04 GMT",
"version": "v2"
}
] | 2022-03-10 | [
[
"Cardillo",
"Franco Alberto",
""
],
[
"Straccia",
"Umberto",
""
]
] | OWL ontologies are nowadays a quite popular way to describe structured knowledge in terms of classes, relations among classes and class instances. In this paper, given a target class T of an OWL ontology, we address the problem of learning fuzzy concept inclusion axioms that describe sufficient conditions for being an ... |
2305.09281 | Fatma Elsafoury | Fatma Elsafoury, Gavin Abercrombie | On the Origins of Bias in NLP through the Lens of the Jim Code | 10 pages | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this paper, we trace the biases in current natural language processing
(NLP) models back to their origins in racism, sexism, and homophobia over the
last 500 years. We review literature from critical race theory, gender studies,
data ethics, and digital humanities studies, and summarize the origins of bias
in NLP ... | [
{
"created": "Tue, 16 May 2023 08:37:13 GMT",
"version": "v1"
}
] | 2023-05-17 | [
[
"Elsafoury",
"Fatma",
""
],
[
"Abercrombie",
"Gavin",
""
]
] | In this paper, we trace the biases in current natural language processing (NLP) models back to their origins in racism, sexism, and homophobia over the last 500 years. We review literature from critical race theory, gender studies, data ethics, and digital humanities studies, and summarize the origins of bias in NLP mo... |
2305.11059 | Muhammad Husnain Mubarik | Ramakrishna Kanungo, Swamynathan Siva, Nathaniel Bleier, Muhammad
Husnain Mubarik, Lav Varshney and Rakesh Kumar | Understanding Interactions Between Chip Architecture and Uncertainties
in Semiconductor Supply and Demand | null | null | null | null | cs.AR cs.CE | http://creativecommons.org/licenses/by/4.0/ | Mitigating losses from supply and demand volatility in the semiconductor
supply chain and market has traditionally been cast as a logistics and
forecasting problem. We investigate how the architecture of a family of chips
influences how it is affected by supply and demand uncertainties. We observe
that semiconductor ... | [
{
"created": "Wed, 10 May 2023 18:07:34 GMT",
"version": "v1"
}
] | 2023-05-19 | [
[
"Kanungo",
"Ramakrishna",
""
],
[
"Siva",
"Swamynathan",
""
],
[
"Bleier",
"Nathaniel",
""
],
[
"Mubarik",
"Muhammad Husnain",
""
],
[
"Varshney",
"Lav",
""
],
[
"Kumar",
"Rakesh",
""
]
] | Mitigating losses from supply and demand volatility in the semiconductor supply chain and market has traditionally been cast as a logistics and forecasting problem. We investigate how the architecture of a family of chips influences how it is affected by supply and demand uncertainties. We observe that semiconductor su... |
2204.02464 | Stefan Bosse | Stefan Bosse | BeeTS: Smart Distributed Sensor Tuple Spaces combined with Agents using
Bluetooth and IP Broadcasting | null | null | null | null | cs.NI cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most Internet-of-Things (IoT) devices and smart sensors are connected via the
Internet using IP communication driectly accessed by a server that collect
sensor information periodically or event-based. Although, Internet access is
widely available, there are places that are not covered and WLAN and mobile
cell communi... | [
{
"created": "Tue, 5 Apr 2022 19:47:21 GMT",
"version": "v1"
}
] | 2022-04-07 | [
[
"Bosse",
"Stefan",
""
]
] | Most Internet-of-Things (IoT) devices and smart sensors are connected via the Internet using IP communication driectly accessed by a server that collect sensor information periodically or event-based. Although, Internet access is widely available, there are places that are not covered and WLAN and mobile cell communica... |
1901.06212 | Dmitry Kangin | Dmitry Kangin and Nicolas Pugeault | On-Policy Trust Region Policy Optimisation with Replay Buffers | null | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Building upon the recent success of deep reinforcement learning methods, we
investigate the possibility of on-policy reinforcement learning improvement by
reusing the data from several consecutive policies. On-policy methods bring
many benefits, such as ability to evaluate each resulting policy. However, they
usually... | [
{
"created": "Fri, 18 Jan 2019 13:09:18 GMT",
"version": "v1"
}
] | 2019-01-21 | [
[
"Kangin",
"Dmitry",
""
],
[
"Pugeault",
"Nicolas",
""
]
] | Building upon the recent success of deep reinforcement learning methods, we investigate the possibility of on-policy reinforcement learning improvement by reusing the data from several consecutive policies. On-policy methods bring many benefits, such as ability to evaluate each resulting policy. However, they usually d... |
2306.06791 | Shugang Hao | Shugang Hao and Lingjie Duan | To Save Mobile Crowdsourcing from Cheap-talk: A Game Theoretic Learning
Approach | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Today mobile crowdsourcing platforms invite users to provide anonymous
reviews about service experiences, yet many reviews are found biased to be
extremely positive or negative. The existing methods find it difficult to learn
from biased reviews to infer the actual service state, as the state can also be
extreme and ... | [
{
"created": "Sun, 11 Jun 2023 22:07:18 GMT",
"version": "v1"
},
{
"created": "Fri, 29 Dec 2023 05:10:44 GMT",
"version": "v2"
}
] | 2024-01-01 | [
[
"Hao",
"Shugang",
""
],
[
"Duan",
"Lingjie",
""
]
] | Today mobile crowdsourcing platforms invite users to provide anonymous reviews about service experiences, yet many reviews are found biased to be extremely positive or negative. The existing methods find it difficult to learn from biased reviews to infer the actual service state, as the state can also be extreme and th... |
2210.14638 | Marcin Pilipczuk | Daniel Lokshtanov and Marcin Pilipczuk and Micha{\l} Pilipczuk and
Saket Saurabh | Fixed-parameter tractability of Graph Isomorphism in graphs with an
excluded minor | Part I of a full version of a paper accepted at STOC 2022 | null | null | null | cs.DS cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We prove that Graph Isomorphism and Canonization in graphs excluding a fixed
graph $H$ as a minor can be solved by an algorithm working in time $f(H)\cdot
n^{O(1)}$, where $f$ is some function. In other words, we show that these
problems are fixed-parameter tractable when parameterized by the size of the
excluded min... | [
{
"created": "Wed, 26 Oct 2022 11:32:55 GMT",
"version": "v1"
}
] | 2022-10-27 | [
[
"Lokshtanov",
"Daniel",
""
],
[
"Pilipczuk",
"Marcin",
""
],
[
"Pilipczuk",
"Michał",
""
],
[
"Saurabh",
"Saket",
""
]
] | We prove that Graph Isomorphism and Canonization in graphs excluding a fixed graph $H$ as a minor can be solved by an algorithm working in time $f(H)\cdot n^{O(1)}$, where $f$ is some function. In other words, we show that these problems are fixed-parameter tractable when parameterized by the size of the excluded minor... |
1911.02423 | Dorjan Hitaj | Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli,
Luigi V. Mancini | The Naked Sun: Malicious Cooperation Between Benign-Looking Processes | 15 pages, 6 figures, 4 tables | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent progress in machine learning has generated promising results in
behavioral malware detection. Behavioral modeling identifies malicious
processes via features derived by their runtime behavior. Behavioral features
hold great promise as they are intrinsically related to the functioning of each
malware, and are t... | [
{
"created": "Wed, 6 Nov 2019 15:04:07 GMT",
"version": "v1"
}
] | 2019-11-07 | [
[
"De Gaspari",
"Fabio",
""
],
[
"Hitaj",
"Dorjan",
""
],
[
"Pagnotta",
"Giulio",
""
],
[
"De Carli",
"Lorenzo",
""
],
[
"Mancini",
"Luigi V.",
""
]
] | Recent progress in machine learning has generated promising results in behavioral malware detection. Behavioral modeling identifies malicious processes via features derived by their runtime behavior. Behavioral features hold great promise as they are intrinsically related to the functioning of each malware, and are the... |
cs/0609009 | Virginia Vassilevska | Virginia Vassilevska, Ryan Williams and Raphael Yuster | Finding heaviest H-subgraphs in real weighted graphs, with applications | 23 pages | null | null | null | cs.DS cs.DM | null | For a graph G with real weights assigned to the vertices (edges), the MAX
H-SUBGRAPH problem is to find an H-subgraph of G with maximum total weight, if
one exists. The all-pairs MAX H-SUBGRAPH problem is to find for every pair of
vertices u,v, a maximum H-subgraph containing both u and v, if one exists. Our
main res... | [
{
"created": "Mon, 4 Sep 2006 08:08:00 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Vassilevska",
"Virginia",
""
],
[
"Williams",
"Ryan",
""
],
[
"Yuster",
"Raphael",
""
]
] | For a graph G with real weights assigned to the vertices (edges), the MAX H-SUBGRAPH problem is to find an H-subgraph of G with maximum total weight, if one exists. The all-pairs MAX H-SUBGRAPH problem is to find for every pair of vertices u,v, a maximum H-subgraph containing both u and v, if one exists. Our main resul... |
0912.1216 | Ying Cui | Ying Cui, Vincent K.N.Lau and Rui Wang | Distributive Subband Allocation, Power and Rate Control for
Relay-Assisted OFDMA Cellular System with Imperfect System State Knowledge | 11 pages, 8 figures | null | null | null | cs.NI cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider distributive subband, power and rate allocation
for a two-hop transmission in an orthogonal frequency-division multiple-access
(OFDMA) cellular system with fixed relays which operate in decode-and-forward
strategy. We take into account of system fairness by considering weighted sum
goodput ... | [
{
"created": "Mon, 7 Dec 2009 12:30:57 GMT",
"version": "v1"
}
] | 2009-12-08 | [
[
"Cui",
"Ying",
""
],
[
"Lau",
"Vincent K. N.",
""
],
[
"Wang",
"Rui",
""
]
] | In this paper, we consider distributive subband, power and rate allocation for a two-hop transmission in an orthogonal frequency-division multiple-access (OFDMA) cellular system with fixed relays which operate in decode-and-forward strategy. We take into account of system fairness by considering weighted sum goodput as... |
1810.03717 | Judy Hanwen Shen | Judy Hanwen Shen, Matthias Hofer, Bjarke Felbo, Roger Levy | Comparing Models of Associative Meaning: An Empirical Investigation of
Reference in Simple Language Games | Conference on Computational Natural Language Learning (CoNLL) 2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Simple reference games are of central theoretical and empirical importance in
the study of situated language use. Although language provides rich,
compositional truth-conditional semantics to facilitate reference, speakers and
listeners may sometimes lack the overall lexical and cognitive resources to
guarantee succe... | [
{
"created": "Mon, 8 Oct 2018 21:51:44 GMT",
"version": "v1"
}
] | 2018-10-10 | [
[
"Shen",
"Judy Hanwen",
""
],
[
"Hofer",
"Matthias",
""
],
[
"Felbo",
"Bjarke",
""
],
[
"Levy",
"Roger",
""
]
] | Simple reference games are of central theoretical and empirical importance in the study of situated language use. Although language provides rich, compositional truth-conditional semantics to facilitate reference, speakers and listeners may sometimes lack the overall lexical and cognitive resources to guarantee success... |
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