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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2305.19384 | Maleknaz Nayebi | Maleknaz Nayebi, Konstantin Kuznetsov, Andreas Zeller, Guenther Ruhe | User Driven Functionality Deletion for Mobile Apps | The paper is accepted to RE 2023 research track | IEEE International Conference on Requirements Engineering, 2023 | null | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Evolving software with an increasing number of features is harder to
understand and thus harder to use. Software release planning has been concerned
with planning these additions. Moreover, software of increasing size takes more
effort to be maintained. In the domain of mobile apps, too much functionality
can easily ... | [
{
"created": "Tue, 30 May 2023 19:56:54 GMT",
"version": "v1"
}
] | 2023-06-01 | [
[
"Nayebi",
"Maleknaz",
""
],
[
"Kuznetsov",
"Konstantin",
""
],
[
"Zeller",
"Andreas",
""
],
[
"Ruhe",
"Guenther",
""
]
] | Evolving software with an increasing number of features is harder to understand and thus harder to use. Software release planning has been concerned with planning these additions. Moreover, software of increasing size takes more effort to be maintained. In the domain of mobile apps, too much functionality can easily im... |
1609.07342 | Kristian Lukander | Kristian Lukander | A short review and primer on eye tracking in human computer interaction
applications | 7 pages, 1 figure. Part of Journal Paper | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The application of psychophysiologicy in human-computer interaction is a
growing field with significant potential for future smart personalised systems.
Working in this emerging field requires comprehension of an array of
physiological signals and analysis techniques.
Eye tracking is a widely used method for tracki... | [
{
"created": "Fri, 23 Sep 2016 12:54:13 GMT",
"version": "v1"
}
] | 2016-09-26 | [
[
"Lukander",
"Kristian",
""
]
] | The application of psychophysiologicy in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging field requires comprehension of an array of physiological signals and analysis techniques. Eye tracking is a widely used method for tracking u... |
2109.08253 | Xudong Han | Xudong Han, Timothy Baldwin, Trevor Cohn | Balancing out Bias: Achieving Fairness Through Balanced Training | 8 pages + 5 pages appendix | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Group bias in natural language processing tasks manifests as disparities in
system error rates across texts authorized by different demographic groups,
typically disadvantaging minority groups. Dataset balancing has been shown to
be effective at mitigating bias, however existing approaches do not directly
account for... | [
{
"created": "Thu, 16 Sep 2021 23:40:28 GMT",
"version": "v1"
},
{
"created": "Sat, 14 May 2022 15:51:42 GMT",
"version": "v2"
}
] | 2022-05-17 | [
[
"Han",
"Xudong",
""
],
[
"Baldwin",
"Timothy",
""
],
[
"Cohn",
"Trevor",
""
]
] | Group bias in natural language processing tasks manifests as disparities in system error rates across texts authorized by different demographic groups, typically disadvantaging minority groups. Dataset balancing has been shown to be effective at mitigating bias, however existing approaches do not directly account for c... |
1705.08624 | Yassine Maalej | Yassine Maalej, Sameh Sorour, Ahmed Abdel-Rahim and Mohsen Guizani | VANETs Meet Autonomous Vehicles: A Multimodal 3D Environment Learning
Approach | 7 pages, 12 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we design a multimodal framework for object detection,
recognition and mapping based on the fusion of stereo camera frames, point
cloud Velodyne Lidar scans, and Vehicle-to-Vehicle (V2V) Basic Safety Messages
(BSMs) exchanged using Dedicated Short Range Communication (DSRC). We merge the
key features o... | [
{
"created": "Wed, 24 May 2017 06:24:21 GMT",
"version": "v1"
}
] | 2017-05-25 | [
[
"Maalej",
"Yassine",
""
],
[
"Sorour",
"Sameh",
""
],
[
"Abdel-Rahim",
"Ahmed",
""
],
[
"Guizani",
"Mohsen",
""
]
] | In this paper, we design a multimodal framework for object detection, recognition and mapping based on the fusion of stereo camera frames, point cloud Velodyne Lidar scans, and Vehicle-to-Vehicle (V2V) Basic Safety Messages (BSMs) exchanged using Dedicated Short Range Communication (DSRC). We merge the key features of ... |
1204.2433 | Manav Bhatnagar Dr. | Manav R. Bhatnagar | Decode-and-Forward Based Differential Modulation for Cooperative
Communication System with Unitary and Non-Unitary Constellations | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we derive a maximum likelihood (ML) decoder of the
differential data in a decode-and-forward (DF) based cooperative communication
system utilizing uncoded transmissions. This decoder is applicable to
complex-valued unitary and non-unitary constellations suitable for differential
modulation. The ML deco... | [
{
"created": "Wed, 11 Apr 2012 12:48:55 GMT",
"version": "v1"
}
] | 2012-04-12 | [
[
"Bhatnagar",
"Manav R.",
""
]
] | In this paper, we derive a maximum likelihood (ML) decoder of the differential data in a decode-and-forward (DF) based cooperative communication system utilizing uncoded transmissions. This decoder is applicable to complex-valued unitary and non-unitary constellations suitable for differential modulation. The ML decode... |
2403.13821 | Kazuhiro Yamada | Kazuhiro Yamada, Keisuke Fujii | Offensive Lineup Analysis in Basketball with Clustering Players Based on
Shooting Style and Offensive Role | 28 pages | null | null | null | cs.LG stat.AP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a basketball game, scoring efficiency holds significant importance due to
the numerous offensive possessions per game. Enhancing scoring efficiency
necessitates effective collaboration among players with diverse playing styles.
In previous studies, basketball lineups have been analyzed, but their playing
style com... | [
{
"created": "Mon, 4 Mar 2024 03:09:25 GMT",
"version": "v1"
}
] | 2024-03-22 | [
[
"Yamada",
"Kazuhiro",
""
],
[
"Fujii",
"Keisuke",
""
]
] | In a basketball game, scoring efficiency holds significant importance due to the numerous offensive possessions per game. Enhancing scoring efficiency necessitates effective collaboration among players with diverse playing styles. In previous studies, basketball lineups have been analyzed, but their playing style compa... |
2402.08381 | Hang Yu | Hang Yu, Christophe De Wagter and Guido C. H. E de Croon | MAVRL: Learn to Fly in Cluttered Environments with Varying Speed | 8 pages | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Many existing obstacle avoidance algorithms overlook the crucial balance
between safety and agility, especially in environments of varying complexity.
In our study, we introduce an obstacle avoidance pipeline based on
reinforcement learning. This pipeline enables drones to adapt their flying
speed according to the en... | [
{
"created": "Tue, 13 Feb 2024 11:22:23 GMT",
"version": "v1"
}
] | 2024-02-14 | [
[
"Yu",
"Hang",
""
],
[
"De Wagter",
"Christophe",
""
],
[
"de Croon",
"Guido C. H. E",
""
]
] | Many existing obstacle avoidance algorithms overlook the crucial balance between safety and agility, especially in environments of varying complexity. In our study, we introduce an obstacle avoidance pipeline based on reinforcement learning. This pipeline enables drones to adapt their flying speed according to the envi... |
2403.12906 | Yufei Liu | Yufei Liu, Junwei Zhu, Junshu Tang, Shijie Zhang, Jiangning Zhang,
Weijian Cao, Chengjie Wang, Yunsheng Wu, Dongjin Huang | TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation | Project Page: https://ggxxii.github.io/texdreamer/ | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Texturing 3D humans with semantic UV maps remains a challenge due to the
difficulty of acquiring reasonably unfolded UV. Despite recent text-to-3D
advancements in supervising multi-view renderings using large text-to-image
(T2I) models, issues persist with generation speed, text consistency, and
texture quality, resu... | [
{
"created": "Tue, 19 Mar 2024 17:02:07 GMT",
"version": "v1"
}
] | 2024-03-20 | [
[
"Liu",
"Yufei",
""
],
[
"Zhu",
"Junwei",
""
],
[
"Tang",
"Junshu",
""
],
[
"Zhang",
"Shijie",
""
],
[
"Zhang",
"Jiangning",
""
],
[
"Cao",
"Weijian",
""
],
[
"Wang",
"Chengjie",
""
],
[
"Wu",
"Y... | Texturing 3D humans with semantic UV maps remains a challenge due to the difficulty of acquiring reasonably unfolded UV. Despite recent text-to-3D advancements in supervising multi-view renderings using large text-to-image (T2I) models, issues persist with generation speed, text consistency, and texture quality, result... |
2007.13487 | Md. Abu Bakr Siddique | Shadman Sakib, Md. Abu Bakr Siddique, Md. Abdur Rahman | Performance Evaluation of t-SNE and MDS Dimensionality Reduction
Techniques with KNN, ENN and SVM Classifiers | 2020 IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka,
Bangladesh | 2020 IEEE Region 10 Symposium (TENSYMP) | 10.1109/TENSYMP50017.2020.9230983 | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The central goal of this paper is to establish two commonly available
dimensionality reduction (DR) methods i.e. t-distributed Stochastic Neighbor
Embedding (t-SNE) and Multidimensional Scaling (MDS) in Matlab and to observe
their application in several datasets. These DR techniques are applied to nine
different data... | [
{
"created": "Sat, 20 Jun 2020 08:13:42 GMT",
"version": "v1"
}
] | 2020-11-19 | [
[
"Sakib",
"Shadman",
""
],
[
"Siddique",
"Md. Abu Bakr",
""
],
[
"Rahman",
"Md. Abdur",
""
]
] | The central goal of this paper is to establish two commonly available dimensionality reduction (DR) methods i.e. t-distributed Stochastic Neighbor Embedding (t-SNE) and Multidimensional Scaling (MDS) in Matlab and to observe their application in several datasets. These DR techniques are applied to nine different datase... |
2408.02061 | Changze Li | Changze Li, Ziheng Ji, Zhe Chen, Tong Qin, Ming Yang | ParkingE2E: Camera-based End-to-end Parking Network, from Images to
Planning | null | null | null | null | cs.CV cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Autonomous parking is a crucial task in the intelligent driving field.
Traditional parking algorithms are usually implemented using rule-based
schemes. However, these methods are less effective in complex parking scenarios
due to the intricate design of the algorithms. In contrast,
neural-network-based methods tend t... | [
{
"created": "Sun, 4 Aug 2024 15:20:39 GMT",
"version": "v1"
}
] | 2024-08-06 | [
[
"Li",
"Changze",
""
],
[
"Ji",
"Ziheng",
""
],
[
"Chen",
"Zhe",
""
],
[
"Qin",
"Tong",
""
],
[
"Yang",
"Ming",
""
]
] | Autonomous parking is a crucial task in the intelligent driving field. Traditional parking algorithms are usually implemented using rule-based schemes. However, these methods are less effective in complex parking scenarios due to the intricate design of the algorithms. In contrast, neural-network-based methods tend to ... |
2203.08459 | Antoine Nzeyimana | Antoine Nzeyimana, Andre Niyongabo Rubungo | KinyaBERT: a Morphology-aware Kinyarwanda Language Model | ACL 2022 | null | 10.18653/v1/2022.acl-long.367 | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Pre-trained language models such as BERT have been successful at tackling
many natural language processing tasks. However, the unsupervised sub-word
tokenization methods commonly used in these models (e.g., byte-pair encoding -
BPE) are sub-optimal at handling morphologically rich languages. Even given a
morphologica... | [
{
"created": "Wed, 16 Mar 2022 08:36:14 GMT",
"version": "v1"
},
{
"created": "Thu, 17 Mar 2022 12:35:21 GMT",
"version": "v2"
}
] | 2023-04-26 | [
[
"Nzeyimana",
"Antoine",
""
],
[
"Rubungo",
"Andre Niyongabo",
""
]
] | Pre-trained language models such as BERT have been successful at tackling many natural language processing tasks. However, the unsupervised sub-word tokenization methods commonly used in these models (e.g., byte-pair encoding - BPE) are sub-optimal at handling morphologically rich languages. Even given a morphological ... |
1302.4874 | Gon\c{c}alo Sim\~oes | Gon\c{c}alo Sim\~oes, Helena Galhardas, David Matos | A Labeled Graph Kernel for Relationship Extraction | null | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose an approach for Relationship Extraction (RE) based
on labeled graph kernels. The kernel we propose is a particularization of a
random walk kernel that exploits two properties previously studied in the RE
literature: (i) the words between the candidate entities or connecting them in
a syntact... | [
{
"created": "Wed, 20 Feb 2013 11:06:25 GMT",
"version": "v1"
}
] | 2013-02-21 | [
[
"Simões",
"Gonçalo",
""
],
[
"Galhardas",
"Helena",
""
],
[
"Matos",
"David",
""
]
] | In this paper, we propose an approach for Relationship Extraction (RE) based on labeled graph kernels. The kernel we propose is a particularization of a random walk kernel that exploits two properties previously studied in the RE literature: (i) the words between the candidate entities or connecting them in a syntactic... |
2209.13428 | Qingyu Chen | Qingyu Chen, Alexis Allot, Robert Leaman, Chih-Hsuan Wei, Elaheh
Aghaarabi, John J. Guerrerio, Lilly Xu, Zhiyong Lu | LitCovid in 2022: an information resource for the COVID-19 literature | 9 pages | null | null | null | cs.DL cs.IR | http://creativecommons.org/licenses/by/4.0/ | LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/), first launched
in February 2020, is a first-of-its-kind literature hub for tracking up-to-date
published research on COVID-19. The number of articles in LitCovid has
increased from 55,000 to ~300,000 over the past two and half years, with a
consistent gro... | [
{
"created": "Tue, 27 Sep 2022 14:32:20 GMT",
"version": "v1"
}
] | 2022-09-28 | [
[
"Chen",
"Qingyu",
""
],
[
"Allot",
"Alexis",
""
],
[
"Leaman",
"Robert",
""
],
[
"Wei",
"Chih-Hsuan",
""
],
[
"Aghaarabi",
"Elaheh",
""
],
[
"Guerrerio",
"John J.",
""
],
[
"Xu",
"Lilly",
""
],
[
"L... | LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/), first launched in February 2020, is a first-of-its-kind literature hub for tracking up-to-date published research on COVID-19. The number of articles in LitCovid has increased from 55,000 to ~300,000 over the past two and half years, with a consistent growt... |
2403.15530 | Zheng Zhang | Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao | Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian
Splatting | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | 3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis
results while advancing real-time rendering performance. However, it relies
heavily on the quality of the initial point cloud, resulting in blurring and
needle-like artifacts in areas with insufficient initializing points. This is
mainly at... | [
{
"created": "Fri, 22 Mar 2024 17:59:21 GMT",
"version": "v1"
}
] | 2024-03-26 | [
[
"Zhang",
"Zheng",
""
],
[
"Hu",
"Wenbo",
""
],
[
"Lao",
"Yixing",
""
],
[
"He",
"Tong",
""
],
[
"Zhao",
"Hengshuang",
""
]
] | 3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis results while advancing real-time rendering performance. However, it relies heavily on the quality of the initial point cloud, resulting in blurring and needle-like artifacts in areas with insufficient initializing points. This is mainly attr... |
1612.01397 | Dmitrij Schlesinger | Dmitrij Schlesinger and Carsten Rother | Implicit Modeling -- A Generalization of Discriminative and Generative
Approaches | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new modeling approach that is a generalization of generative and
discriminative models. The core idea is to use an implicit parameterization of
a joint probability distribution by specifying only the conditional
distributions. The proposed scheme combines the advantages of both worlds -- it
can use power... | [
{
"created": "Mon, 5 Dec 2016 15:37:27 GMT",
"version": "v1"
}
] | 2016-12-06 | [
[
"Schlesinger",
"Dmitrij",
""
],
[
"Rother",
"Carsten",
""
]
] | We propose a new modeling approach that is a generalization of generative and discriminative models. The core idea is to use an implicit parameterization of a joint probability distribution by specifying only the conditional distributions. The proposed scheme combines the advantages of both worlds -- it can use powerfu... |
1902.02422 | Qiwei Xie | Qiwei Xie and Liang Tang and Weifu Li and Vijay John and Yong Hu | Principal Model Analysis Based on Partial Least Squares | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motivated by the Bagging Partial Least Squares (PLS) and Principal Component
Analysis (PCA) algorithms, we propose a Principal Model Analysis (PMA) method
in this paper. In the proposed PMA algorithm, the PCA and the PLS are combined.
In the method, multiple PLS models are trained on sub-training sets, derived
from t... | [
{
"created": "Wed, 6 Feb 2019 22:47:54 GMT",
"version": "v1"
}
] | 2019-02-08 | [
[
"Xie",
"Qiwei",
""
],
[
"Tang",
"Liang",
""
],
[
"Li",
"Weifu",
""
],
[
"John",
"Vijay",
""
],
[
"Hu",
"Yong",
""
]
] | Motivated by the Bagging Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms, we propose a Principal Model Analysis (PMA) method in this paper. In the proposed PMA algorithm, the PCA and the PLS are combined. In the method, multiple PLS models are trained on sub-training sets, derived from the... |
1903.11714 | Yi-Fan Chen | Kun Yang, Yi-Fan Chen, Georgios Roumpos, Chris Colby, John Anderson | High Performance Monte Carlo Simulation of Ising Model on TPU Clusters | 26 pages, 8 figures, 7 tables. Results (excluding new results in 7.2)
published in ACM SC2019 Proceedings: ACM ISBN 978-1-4503-6229-0/19/11.
https://doi.org/10.1145/3295500.3356149 | null | null | null | cs.DC physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large-scale deep learning benefits from an emerging class of AI accelerators.
Some of these accelerators' designs are general enough for compute-intensive
applications beyond AI and Cloud TPU is one such example. In this paper, we
demonstrate a novel approach using TensorFlow on Cloud TPU to simulate the
two-dimensio... | [
{
"created": "Wed, 27 Mar 2019 21:52:54 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Apr 2019 01:52:06 GMT",
"version": "v2"
},
{
"created": "Wed, 28 Aug 2019 07:02:07 GMT",
"version": "v3"
},
{
"created": "Sun, 17 Nov 2019 16:18:16 GMT",
"version": "v4"
}
] | 2019-11-19 | [
[
"Yang",
"Kun",
""
],
[
"Chen",
"Yi-Fan",
""
],
[
"Roumpos",
"Georgios",
""
],
[
"Colby",
"Chris",
""
],
[
"Anderson",
"John",
""
]
] | Large-scale deep learning benefits from an emerging class of AI accelerators. Some of these accelerators' designs are general enough for compute-intensive applications beyond AI and Cloud TPU is one such example. In this paper, we demonstrate a novel approach using TensorFlow on Cloud TPU to simulate the two-dimensiona... |
2308.16481 | Ahmed Hatem | Ahmed Hatem, Yiming Qian, Yang Wang | Point-TTA: Test-Time Adaptation for Point Cloud Registration Using
Multitask Meta-Auxiliary Learning | Accepted at ICCV 2023 | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | We present Point-TTA, a novel test-time adaptation framework for point cloud
registration (PCR) that improves the generalization and the performance of
registration models. While learning-based approaches have achieved impressive
progress, generalization to unknown testing environments remains a major
challenge due t... | [
{
"created": "Thu, 31 Aug 2023 06:32:11 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Sep 2023 18:13:58 GMT",
"version": "v2"
}
] | 2023-09-06 | [
[
"Hatem",
"Ahmed",
""
],
[
"Qian",
"Yiming",
""
],
[
"Wang",
"Yang",
""
]
] | We present Point-TTA, a novel test-time adaptation framework for point cloud registration (PCR) that improves the generalization and the performance of registration models. While learning-based approaches have achieved impressive progress, generalization to unknown testing environments remains a major challenge due to ... |
1802.06769 | Kyrylo Malakhov | A. V. Palagin, N. G. Petrenko, K. S. Malakhov | Technique for designing a domain ontology | in Russian | Computer means, networks and systems 10 (2011) 5-12 | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The article describes the technique for designing a domain ontology, shows
the flowchart of algorithm design and example of constructing a fragment of the
ontology of the subject area of Computer Science is considered.
| [
{
"created": "Sat, 17 Feb 2018 10:58:59 GMT",
"version": "v1"
}
] | 2018-02-21 | [
[
"Palagin",
"A. V.",
""
],
[
"Petrenko",
"N. G.",
""
],
[
"Malakhov",
"K. S.",
""
]
] | The article describes the technique for designing a domain ontology, shows the flowchart of algorithm design and example of constructing a fragment of the ontology of the subject area of Computer Science is considered. |
1902.11160 | Bestoun Ahmed Dr. | Abdullah B. Nasser, Kamal Z. Zamli, and Bestoun S.Ahmed | Dynamic Solution Probability Acceptance within the Flower Pollination
Algorithm for t-way Test Suite Generation | IIC 2018 Conference Accepted | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Flower Pollination Algorithm (FPA) is the new breed of metaheuristic for the
general optimization problem. In this paper, an improved algorithm based on
Flower Pollination Algorithm (FPA), called imFPA, has been proposed. In imFPA,
the static selection probability is replaced by the dynamic solution selection
probabi... | [
{
"created": "Wed, 13 Feb 2019 14:34:51 GMT",
"version": "v1"
}
] | 2019-03-01 | [
[
"Nasser",
"Abdullah B.",
""
],
[
"Zamli",
"Kamal Z.",
""
],
[
"Ahmed",
"Bestoun S.",
""
]
] | Flower Pollination Algorithm (FPA) is the new breed of metaheuristic for the general optimization problem. In this paper, an improved algorithm based on Flower Pollination Algorithm (FPA), called imFPA, has been proposed. In imFPA, the static selection probability is replaced by the dynamic solution selection probabili... |
1905.00406 | Xi Xiong | Xi Xiong, Kaan Ozbay, Li Jin, and Chen Feng | Dynamic Origin-Destination Matrix Prediction with Line Graph Neural
Networks and Kalman Filter | null | null | null | null | cs.LG cs.SY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern intelligent transportation systems provide data that allow real-time
dynamic demand prediction, which is essential for planning and operations. The
main challenge of prediction of dynamic Origin-Destination (O-D) demand
matrices is that demands cannot be directly measured by traffic sensors;
instead, they have... | [
{
"created": "Wed, 1 May 2019 17:48:07 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Aug 2019 03:06:02 GMT",
"version": "v2"
},
{
"created": "Tue, 24 Mar 2020 13:45:03 GMT",
"version": "v3"
}
] | 2020-03-25 | [
[
"Xiong",
"Xi",
""
],
[
"Ozbay",
"Kaan",
""
],
[
"Jin",
"Li",
""
],
[
"Feng",
"Chen",
""
]
] | Modern intelligent transportation systems provide data that allow real-time dynamic demand prediction, which is essential for planning and operations. The main challenge of prediction of dynamic Origin-Destination (O-D) demand matrices is that demands cannot be directly measured by traffic sensors; instead, they have t... |
1904.03580 | Huaxi Huang | Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Jingsong Xu | Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot
Fine-grained Learning | ICME 2019 Oral | null | 10.1109/ICME.2019.00024 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The recognition ability of human beings is developed in a progressive way.
Usually, children learn to discriminate various objects from coarse to
fine-grained with limited supervision. Inspired by this learning process, we
propose a simple yet effective model for the Few-Shot Fine-Grained (FSFG)
recognition, which tr... | [
{
"created": "Sun, 7 Apr 2019 04:01:52 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Apr 2019 10:50:00 GMT",
"version": "v2"
}
] | 2020-01-22 | [
[
"Huang",
"Huaxi",
""
],
[
"Zhang",
"Junjie",
""
],
[
"Zhang",
"Jian",
""
],
[
"Wu",
"Qiang",
""
],
[
"Xu",
"Jingsong",
""
]
] | The recognition ability of human beings is developed in a progressive way. Usually, children learn to discriminate various objects from coarse to fine-grained with limited supervision. Inspired by this learning process, we propose a simple yet effective model for the Few-Shot Fine-Grained (FSFG) recognition, which trie... |
2010.05736 | Marco Di Giovanni | Marco Di Giovanni and Marco Brambilla | EFSG: Evolutionary Fooling Sentences Generator | 13 pages, 19 figures | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large pre-trained language representation models (LMs) have recently
collected a huge number of successes in many NLP tasks.
In 2018 BERT, and later its successors (e.g. RoBERTa), obtained
state-of-the-art results in classical benchmark tasks, such as GLUE benchmark.
After that, works about adversarial attacks ha... | [
{
"created": "Mon, 12 Oct 2020 14:28:48 GMT",
"version": "v1"
}
] | 2020-10-13 | [
[
"Di Giovanni",
"Marco",
""
],
[
"Brambilla",
"Marco",
""
]
] | Large pre-trained language representation models (LMs) have recently collected a huge number of successes in many NLP tasks. In 2018 BERT, and later its successors (e.g. RoBERTa), obtained state-of-the-art results in classical benchmark tasks, such as GLUE benchmark. After that, works about adversarial attacks have bee... |
1304.2077 | Jonah Sherman | Jonah Sherman | Nearly Maximum Flows in Nearly Linear Time | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new approach to the maximum flow problem in undirected,
capacitated graphs using $\alpha$-\emph{congestion-approximators}:
easy-to-compute functions that approximate the congestion required to route
single-commodity demands in a graph to within a factor of $\alpha$. Our
algorithm maintains an arbitrary... | [
{
"created": "Sun, 7 Apr 2013 23:42:35 GMT",
"version": "v1"
}
] | 2013-04-09 | [
[
"Sherman",
"Jonah",
""
]
] | We introduce a new approach to the maximum flow problem in undirected, capacitated graphs using $\alpha$-\emph{congestion-approximators}: easy-to-compute functions that approximate the congestion required to route single-commodity demands in a graph to within a factor of $\alpha$. Our algorithm maintains an arbitrary f... |
1605.05026 | Mingyue Ji | Angela Sara Cacciapuoti, Marcello Caleffi, Mingyue Ji, Jaime Llorca,
Antonia Maria Tulino | Speeding up Future Video Distribution via Channel-Aware Caching-Aided
Coded Multicast | 11 pages,6 figures,to appear in IEEE JSAC Special Issue on Video
Distribution over Future Internet | null | 10.1109/JSAC.2016.2577198 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Future Internet usage will be dominated by the consumption of a rich variety
of online multimedia services accessed from an exponentially growing number of
multimedia capable mobile devices. As such, future Internet designs will be
challenged to provide solutions that can deliver bandwidth-intensive,
delay-sensitive,... | [
{
"created": "Tue, 17 May 2016 05:59:44 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Cacciapuoti",
"Angela Sara",
""
],
[
"Caleffi",
"Marcello",
""
],
[
"Ji",
"Mingyue",
""
],
[
"Llorca",
"Jaime",
""
],
[
"Tulino",
"Antonia Maria",
""
]
] | Future Internet usage will be dominated by the consumption of a rich variety of online multimedia services accessed from an exponentially growing number of multimedia capable mobile devices. As such, future Internet designs will be challenged to provide solutions that can deliver bandwidth-intensive, delay-sensitive, o... |
1811.12833 | Tuan-Hung Vu | Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick
P\'erez | ADVENT: Adversarial Entropy Minimization for Domain Adaptation in
Semantic Segmentation | Accepted in CVPR'19. Code is available at
https://github.com/valeoai/ADVENT | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Semantic segmentation is a key problem for many computer vision tasks. While
approaches based on convolutional neural networks constantly break new records
on different benchmarks, generalizing well to diverse testing environments
remains a major challenge. In numerous real world applications, there is indeed
a large... | [
{
"created": "Fri, 30 Nov 2018 15:00:29 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Apr 2019 19:16:22 GMT",
"version": "v2"
}
] | 2019-04-19 | [
[
"Vu",
"Tuan-Hung",
""
],
[
"Jain",
"Himalaya",
""
],
[
"Bucher",
"Maxime",
""
],
[
"Cord",
"Matthieu",
""
],
[
"Pérez",
"Patrick",
""
]
] | Semantic segmentation is a key problem for many computer vision tasks. While approaches based on convolutional neural networks constantly break new records on different benchmarks, generalizing well to diverse testing environments remains a major challenge. In numerous real world applications, there is indeed a large g... |
1502.02358 | Ashraf Shahin | Ashraf A. Shahin | Using Heavy Clique Base Coarsening to Enhance Virtual Network Embedding | (IJACSA) International Journal of Advanced Computer Science and
Applications, Vol. 6, No. 1, 2015 | null | 10.14569/IJACSA.2015.060118 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network virtualization allows cloud infrastructure providers to accommodate
multiple virtual networks on a single physical network. However, mapping
multiple virtual network resources to physical network components, called
virtual network embedding (VNE), is known to be non-deterministic
polynomial-time hard (NP-hard... | [
{
"created": "Mon, 9 Feb 2015 04:51:41 GMT",
"version": "v1"
}
] | 2015-02-10 | [
[
"Shahin",
"Ashraf A.",
""
]
] | Network virtualization allows cloud infrastructure providers to accommodate multiple virtual networks on a single physical network. However, mapping multiple virtual network resources to physical network components, called virtual network embedding (VNE), is known to be non-deterministic polynomial-time hard (NP-hard).... |
2407.08422 | Yanjie Zhao | Xinyi Hou, Yanjie Zhao, and Haoyu Wang | On the (In)Security of LLM App Stores | null | null | null | null | cs.CR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | LLM app stores have seen rapid growth, leading to the proliferation of
numerous custom LLM apps. However, this expansion raises security concerns. In
this study, we propose a three-layer concern framework to identify the
potential security risks of LLM apps, i.e., LLM apps with abusive potential,
LLM apps with malici... | [
{
"created": "Thu, 11 Jul 2024 12:03:32 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jul 2024 11:18:57 GMT",
"version": "v2"
}
] | 2024-07-30 | [
[
"Hou",
"Xinyi",
""
],
[
"Zhao",
"Yanjie",
""
],
[
"Wang",
"Haoyu",
""
]
] | LLM app stores have seen rapid growth, leading to the proliferation of numerous custom LLM apps. However, this expansion raises security concerns. In this study, we propose a three-layer concern framework to identify the potential security risks of LLM apps, i.e., LLM apps with abusive potential, LLM apps with maliciou... |
1904.10616 | Song Han | Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun
Lin | Design Automation for Efficient Deep Learning Computing | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient deep learning computing requires algorithm and hardware co-design
to enable specialization: we usually need to change the algorithm to reduce
memory footprint and improve energy efficiency. However, the extra degree of
freedom from the algorithm makes the design space much larger: it's not only
about design... | [
{
"created": "Wed, 24 Apr 2019 02:45:44 GMT",
"version": "v1"
}
] | 2019-04-25 | [
[
"Han",
"Song",
""
],
[
"Cai",
"Han",
""
],
[
"Zhu",
"Ligeng",
""
],
[
"Lin",
"Ji",
""
],
[
"Wang",
"Kuan",
""
],
[
"Liu",
"Zhijian",
""
],
[
"Lin",
"Yujun",
""
]
] | Efficient deep learning computing requires algorithm and hardware co-design to enable specialization: we usually need to change the algorithm to reduce memory footprint and improve energy efficiency. However, the extra degree of freedom from the algorithm makes the design space much larger: it's not only about designin... |
0808.2666 | Panos Papadimitratos | Panos Papadimitratos, Giorgio Calandriello, Jean-Pierre Hubaux and
Antonio Lioy | Impact of Vehicular Communications Security on Transportation Safety | null | IEEE Conference on Computer Communications (INFOCOM) Workshop on
Mobile Networking for Vehicular Environments (MOVE), pp. 1-6, Phoenix, AZ,
USA, April 2008 | 10.1109/INFOCOM.2008.4544663 | null | cs.CR cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transportation safety, one of the main driving forces of the development of
vehicular communication (VC) systems, relies on high-rate safety messaging
(beaconing). At the same time, there is consensus among authorities, industry,
and academia on the need to secure VC systems. With specific proposals in the
literature... | [
{
"created": "Tue, 19 Aug 2008 22:35:37 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Papadimitratos",
"Panos",
""
],
[
"Calandriello",
"Giorgio",
""
],
[
"Hubaux",
"Jean-Pierre",
""
],
[
"Lioy",
"Antonio",
""
]
] | Transportation safety, one of the main driving forces of the development of vehicular communication (VC) systems, relies on high-rate safety messaging (beaconing). At the same time, there is consensus among authorities, industry, and academia on the need to secure VC systems. With specific proposals in the literature, ... |
1004.1211 | Avik Chaudhuri | Avik Chaudhuri | Liberalizing Dependency | null | null | null | null | cs.PL cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The dependency core calculus (DCC), a simple extension of the computational
lambda calculus, captures a common notion of dependency that arises in many
programming language settings. This notion of dependency is closely related to
the notion of information flow in security; it is sensitive not only to data
dependenci... | [
{
"created": "Wed, 7 Apr 2010 23:53:50 GMT",
"version": "v1"
}
] | 2010-04-09 | [
[
"Chaudhuri",
"Avik",
""
]
] | The dependency core calculus (DCC), a simple extension of the computational lambda calculus, captures a common notion of dependency that arises in many programming language settings. This notion of dependency is closely related to the notion of information flow in security; it is sensitive not only to data dependencies... |
1911.04636 | Arash Rahnama | Arash Rahnama, Andre T. Nguyen and Edward Raff | Robust Design of Deep Neural Networks against Adversarial Attacks based
on Lyapunov Theory | null | null | null | null | cs.LG cs.SY eess.SY stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks (DNNs) are vulnerable to subtle adversarial
perturbations applied to the input. These adversarial perturbations, though
imperceptible, can easily mislead the DNN. In this work, we take a control
theoretic approach to the problem of robustness in DNNs. We treat each
individual layer of the DNN as ... | [
{
"created": "Tue, 12 Nov 2019 02:17:01 GMT",
"version": "v1"
}
] | 2019-11-13 | [
[
"Rahnama",
"Arash",
""
],
[
"Nguyen",
"Andre T.",
""
],
[
"Raff",
"Edward",
""
]
] | Deep neural networks (DNNs) are vulnerable to subtle adversarial perturbations applied to the input. These adversarial perturbations, though imperceptible, can easily mislead the DNN. In this work, we take a control theoretic approach to the problem of robustness in DNNs. We treat each individual layer of the DNN as a ... |
2104.12175 | Giovanni Iacca Prof. | Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca,
Dario Floreano | Seeking Quality Diversity in Evolutionary Co-design of Morphology and
Control of Soft Tensegrity Modular Robots | To be published in the proceedings of ACM Genetic and Evolutionary
Computation Conference (GECCO) 2021 | null | 10.1145/3449639.3459311 | null | cs.RO cs.NE | http://creativecommons.org/licenses/by/4.0/ | Designing optimal soft modular robots is difficult, due to non-trivial
interactions between morphology and controller. Evolutionary algorithms (EAs),
combined with physical simulators, represent a valid tool to overcome this
issue. In this work, we investigate algorithmic solutions to improve the
Quality Diversity of... | [
{
"created": "Sun, 25 Apr 2021 14:49:59 GMT",
"version": "v1"
}
] | 2021-04-27 | [
[
"Zardini",
"Enrico",
""
],
[
"Zappetti",
"Davide",
""
],
[
"Zambrano",
"Davide",
""
],
[
"Iacca",
"Giovanni",
""
],
[
"Floreano",
"Dario",
""
]
] | Designing optimal soft modular robots is difficult, due to non-trivial interactions between morphology and controller. Evolutionary algorithms (EAs), combined with physical simulators, represent a valid tool to overcome this issue. In this work, we investigate algorithmic solutions to improve the Quality Diversity of c... |
1911.03572 | Mohit Goyal | Mohit Goyal, Kedar Tatwawadi, Shubham Chandak, Idoia Ochoa | DZip: improved general-purpose lossless compression based on novel
neural network modeling | Updated manuscript and an efficient implementation added | null | null | null | cs.LG cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider lossless compression based on statistical data modeling followed
by prediction-based encoding, where an accurate statistical model for the input
data leads to substantial improvements in compression. We propose DZip, a
general-purpose compressor for sequential data that exploits the well-known
modeling ca... | [
{
"created": "Fri, 8 Nov 2019 22:50:02 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Sep 2020 17:58:10 GMT",
"version": "v2"
}
] | 2020-09-21 | [
[
"Goyal",
"Mohit",
""
],
[
"Tatwawadi",
"Kedar",
""
],
[
"Chandak",
"Shubham",
""
],
[
"Ochoa",
"Idoia",
""
]
] | We consider lossless compression based on statistical data modeling followed by prediction-based encoding, where an accurate statistical model for the input data leads to substantial improvements in compression. We propose DZip, a general-purpose compressor for sequential data that exploits the well-known modeling capa... |
1803.04488 | Tommaso Soru | Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit Sheth | Concept2vec: Metrics for Evaluating Quality of Embeddings for
Ontological Concepts | Spring Symposium on Combining Machine Learning with Knowledge
Engineering (AAAI-MAKE 2019) | CEUR-WS 2350 (2019) 26 | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although there is an emerging trend towards generating embeddings for
primarily unstructured data and, recently, for structured data, no systematic
suite for measuring the quality of embeddings has been proposed yet. This
deficiency is further sensed with respect to embeddings generated for
structured data because th... | [
{
"created": "Mon, 12 Mar 2018 19:46:10 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Jul 2018 09:16:45 GMT",
"version": "v2"
},
{
"created": "Fri, 8 May 2020 09:15:17 GMT",
"version": "v3"
}
] | 2020-05-11 | [
[
"Alshargi",
"Faisal",
""
],
[
"Shekarpour",
"Saeedeh",
""
],
[
"Soru",
"Tommaso",
""
],
[
"Sheth",
"Amit",
""
]
] | Although there is an emerging trend towards generating embeddings for primarily unstructured data and, recently, for structured data, no systematic suite for measuring the quality of embeddings has been proposed yet. This deficiency is further sensed with respect to embeddings generated for structured data because ther... |
1906.08946 | Maria-Alexandra Barina | Alexandra Barina, Gabriel Barina and Mihai Udrescu | Appliance of network theory in economic geography | null | null | null | null | cs.SI physics.soc-ph | http://creativecommons.org/licenses/by/4.0/ | A continuously evolving geography requires a good understanding in networks.
As such, this paper accounts for theories and applications of complex networks
and their role both in geography in general, as well as in determining various
geographical network trajectories. It assesses how links between agents lead to
an ... | [
{
"created": "Fri, 21 Jun 2019 04:54:04 GMT",
"version": "v1"
}
] | 2019-06-24 | [
[
"Barina",
"Alexandra",
""
],
[
"Barina",
"Gabriel",
""
],
[
"Udrescu",
"Mihai",
""
]
] | A continuously evolving geography requires a good understanding in networks. As such, this paper accounts for theories and applications of complex networks and their role both in geography in general, as well as in determining various geographical network trajectories. It assesses how links between agents lead to an ev... |
2309.14715 | Thrupthi Ann John | Thrupthi Ann John, Vineeth N Balasubramanian, C. V. Jawahar | Explaining Deep Face Algorithms through Visualization: A Survey | null | IEEE Transactions in Biometrics, Behaviour and Identity Science
(IEEE T-BIOM) 2023 | null | null | cs.CV cs.HC cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Although current deep models for face tasks surpass human performance on some
benchmarks, we do not understand how they work. Thus, we cannot predict how it
will react to novel inputs, resulting in catastrophic failures and unwanted
biases in the algorithms. Explainable AI helps bridge the gap, but currently,
there a... | [
{
"created": "Tue, 26 Sep 2023 07:16:39 GMT",
"version": "v1"
}
] | 2023-09-27 | [
[
"John",
"Thrupthi Ann",
""
],
[
"Balasubramanian",
"Vineeth N",
""
],
[
"Jawahar",
"C. V.",
""
]
] | Although current deep models for face tasks surpass human performance on some benchmarks, we do not understand how they work. Thus, we cannot predict how it will react to novel inputs, resulting in catastrophic failures and unwanted biases in the algorithms. Explainable AI helps bridge the gap, but currently, there are... |
2303.17799 | Feng-Ju Chang | Feng-Ju Chang, Thejaswi Muniyappa, Kanthashree Mysore Sathyendra, Kai
Wei, Grant P. Strimel, Ross McGowan | Dialog act guided contextual adapter for personalized speech recognition | Accepted at ICASSP 2023 | null | null | null | cs.CL cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Personalization in multi-turn dialogs has been a long standing challenge for
end-to-end automatic speech recognition (E2E ASR) models. Recent work on
contextual adapters has tackled rare word recognition using user catalogs. This
adaptation, however, does not incorporate an important cue, the dialog act,
which is ava... | [
{
"created": "Fri, 31 Mar 2023 05:13:44 GMT",
"version": "v1"
}
] | 2023-04-03 | [
[
"Chang",
"Feng-Ju",
""
],
[
"Muniyappa",
"Thejaswi",
""
],
[
"Sathyendra",
"Kanthashree Mysore",
""
],
[
"Wei",
"Kai",
""
],
[
"Strimel",
"Grant P.",
""
],
[
"McGowan",
"Ross",
""
]
] | Personalization in multi-turn dialogs has been a long standing challenge for end-to-end automatic speech recognition (E2E ASR) models. Recent work on contextual adapters has tackled rare word recognition using user catalogs. This adaptation, however, does not incorporate an important cue, the dialog act, which is avail... |
2303.17651 | Uri Alon | Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao,
Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang,
Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck,
Amir Yazdanbakhsh, Peter Clark | Self-Refine: Iterative Refinement with Self-Feedback | Code, data, and demo at https://selfrefine.info/ | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Like humans, large language models (LLMs) do not always generate the best
output on their first try. Motivated by how humans refine their written text,
we introduce Self-Refine, an approach for improving initial outputs from LLMs
through iterative feedback and refinement. The main idea is to generate an
initial outpu... | [
{
"created": "Thu, 30 Mar 2023 18:30:01 GMT",
"version": "v1"
},
{
"created": "Thu, 25 May 2023 19:13:47 GMT",
"version": "v2"
}
] | 2023-05-29 | [
[
"Madaan",
"Aman",
""
],
[
"Tandon",
"Niket",
""
],
[
"Gupta",
"Prakhar",
""
],
[
"Hallinan",
"Skyler",
""
],
[
"Gao",
"Luyu",
""
],
[
"Wiegreffe",
"Sarah",
""
],
[
"Alon",
"Uri",
""
],
[
"Dziri",
... | Like humans, large language models (LLMs) do not always generate the best output on their first try. Motivated by how humans refine their written text, we introduce Self-Refine, an approach for improving initial outputs from LLMs through iterative feedback and refinement. The main idea is to generate an initial output ... |
2001.02956 | Martin Bossert | Martin Bossert | On Decoding Using Codewords of the Dual Code | 12 pages, 5 figures, 1 table | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present novel decoding schemes for hard and soft decision decoding of
block codes using the minimal weight codewords of the dual code. The decoding
schemes will be described for cyclic codes where polynomials can be used,
however, the modification for non-cyclic codes is possible and straight
forward. The hard dec... | [
{
"created": "Thu, 9 Jan 2020 13:01:00 GMT",
"version": "v1"
}
] | 2020-01-10 | [
[
"Bossert",
"Martin",
""
]
] | We present novel decoding schemes for hard and soft decision decoding of block codes using the minimal weight codewords of the dual code. The decoding schemes will be described for cyclic codes where polynomials can be used, however, the modification for non-cyclic codes is possible and straight forward. The hard decis... |
1608.04431 | Richard Barnes | Richard Barnes | Parallel Non-divergent Flow Accumulation For Trillion Cell Digital
Elevation Models On Desktops Or Clusters | 23 pages (double-spaced), 4 figures, 2 tables. arXiv admin note:
substantial text overlap with arXiv:1606.06204 | 2017. Environmental Modelling & Software 92, 202-212 | 10.1016/j.envsoft.2017.02.022 | null | cs.DC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Continent-scale datasets challenge hydrological algorithms for processing
digital elevation models. Flow accumulation is an important input for many such
algorithms; here, I parallelize its calculation. The new algorithm works on one
or many cores, or multiple machines, and can take advantage of large memories
or cop... | [
{
"created": "Mon, 15 Aug 2016 22:50:48 GMT",
"version": "v1"
},
{
"created": "Sat, 4 Feb 2017 01:50:55 GMT",
"version": "v2"
}
] | 2018-01-31 | [
[
"Barnes",
"Richard",
""
]
] | Continent-scale datasets challenge hydrological algorithms for processing digital elevation models. Flow accumulation is an important input for many such algorithms; here, I parallelize its calculation. The new algorithm works on one or many cores, or multiple machines, and can take advantage of large memories or cope ... |
2404.13621 | Haniyeh Ehsani Oskouie | Haniyeh Ehsani Oskouie, Mohammad-Shahram Moin, Shohreh Kasaei | Attack on Scene Flow using Point Clouds | null | null | 10.13140/RG.2.2.29455.19362 | null | cs.CV cs.LG cs.MM | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Deep neural networks have made significant advancements in accurately
estimating scene flow using point clouds, which is vital for many applications
like video analysis, action recognition, and navigation. The robustness of
these techniques, however, remains a concern, particularly in the face of
adversarial attacks ... | [
{
"created": "Sun, 21 Apr 2024 11:21:27 GMT",
"version": "v1"
},
{
"created": "Sun, 28 Apr 2024 08:05:55 GMT",
"version": "v2"
},
{
"created": "Tue, 18 Jun 2024 01:40:23 GMT",
"version": "v3"
}
] | 2024-06-19 | [
[
"Oskouie",
"Haniyeh Ehsani",
""
],
[
"Moin",
"Mohammad-Shahram",
""
],
[
"Kasaei",
"Shohreh",
""
]
] | Deep neural networks have made significant advancements in accurately estimating scene flow using point clouds, which is vital for many applications like video analysis, action recognition, and navigation. The robustness of these techniques, however, remains a concern, particularly in the face of adversarial attacks th... |
2304.13902 | Dingzirui Wang | Dingzirui Wang, Longxu Dou, Wanxiang Che | Controllable Data Augmentation for Context-Dependent Text-to-SQL | fix overlap | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | The limited scale of annotated data constraints existing context-dependent
text-to-SQL models because of the complexity of labeling. The data augmentation
method is a commonly used method to solve this problem. However, the data
generated by current augmentation methods often lack diversity. In this paper,
we introdu... | [
{
"created": "Thu, 27 Apr 2023 01:00:10 GMT",
"version": "v1"
},
{
"created": "Fri, 28 Apr 2023 02:45:31 GMT",
"version": "v2"
}
] | 2023-05-01 | [
[
"Wang",
"Dingzirui",
""
],
[
"Dou",
"Longxu",
""
],
[
"Che",
"Wanxiang",
""
]
] | The limited scale of annotated data constraints existing context-dependent text-to-SQL models because of the complexity of labeling. The data augmentation method is a commonly used method to solve this problem. However, the data generated by current augmentation methods often lack diversity. In this paper, we introduce... |
2312.00416 | Hamid Sarmadi | Hamid Sarmadi, Thorsteinn R\"ognvaldsson, Nils Roger Carlsson, Mattias
Ohlsson, Ibrahim Wahab, Ola Hall | Towards Explaining Satellite Based Poverty Predictions with
Convolutional Neural Networks | Accepted to the DSAA 2023 conference, published in IEEE Xplore | null | 10.1109/DSAA60987.2023.10302541 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep convolutional neural networks (CNNs) have been shown to predict poverty
and development indicators from satellite images with surprising accuracy. This
paper presents a first attempt at analyzing the CNNs responses in detail and
explaining the basis for the predictions. The CNN model, while trained on
relatively... | [
{
"created": "Fri, 1 Dec 2023 08:40:09 GMT",
"version": "v1"
}
] | 2023-12-04 | [
[
"Sarmadi",
"Hamid",
""
],
[
"Rögnvaldsson",
"Thorsteinn",
""
],
[
"Carlsson",
"Nils Roger",
""
],
[
"Ohlsson",
"Mattias",
""
],
[
"Wahab",
"Ibrahim",
""
],
[
"Hall",
"Ola",
""
]
] | Deep convolutional neural networks (CNNs) have been shown to predict poverty and development indicators from satellite images with surprising accuracy. This paper presents a first attempt at analyzing the CNNs responses in detail and explaining the basis for the predictions. The CNN model, while trained on relatively l... |
2307.03567 | Xingyu Lin | Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel | SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained
Networks | null | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The existing internet-scale image and video datasets cover a wide range of
everyday objects and tasks, bringing the potential of learning policies that
generalize in diverse scenarios. Prior works have explored visual pre-training
with different self-supervised objectives. Still, the generalization
capabilities of th... | [
{
"created": "Fri, 7 Jul 2023 13:01:29 GMT",
"version": "v1"
},
{
"created": "Sun, 22 Oct 2023 03:16:41 GMT",
"version": "v2"
}
] | 2023-10-24 | [
[
"Lin",
"Xingyu",
""
],
[
"So",
"John",
""
],
[
"Mahalingam",
"Sashwat",
""
],
[
"Liu",
"Fangchen",
""
],
[
"Abbeel",
"Pieter",
""
]
] | The existing internet-scale image and video datasets cover a wide range of everyday objects and tasks, bringing the potential of learning policies that generalize in diverse scenarios. Prior works have explored visual pre-training with different self-supervised objectives. Still, the generalization capabilities of the ... |
2408.02164 | Dimitrios Kollias | Guanyu Hu and Dimitrios Kollias and Eleni Papadopoulou and Paraskevi
Tzouveli and Jie Wei and Xinyu Yang | Rethinking Affect Analysis: A Protocol for Ensuring Fairness and
Consistency | arXiv admin note: text overlap with arXiv:2405.06841 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Evaluating affect analysis methods presents challenges due to inconsistencies
in database partitioning and evaluation protocols, leading to unfair and biased
results. Previous studies claim continuous performance improvements, but our
findings challenge such assertions. Using these insights, we propose a unified
prot... | [
{
"created": "Sun, 4 Aug 2024 23:21:46 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Aug 2024 09:23:36 GMT",
"version": "v2"
}
] | 2024-08-08 | [
[
"Hu",
"Guanyu",
""
],
[
"Kollias",
"Dimitrios",
""
],
[
"Papadopoulou",
"Eleni",
""
],
[
"Tzouveli",
"Paraskevi",
""
],
[
"Wei",
"Jie",
""
],
[
"Yang",
"Xinyu",
""
]
] | Evaluating affect analysis methods presents challenges due to inconsistencies in database partitioning and evaluation protocols, leading to unfair and biased results. Previous studies claim continuous performance improvements, but our findings challenge such assertions. Using these insights, we propose a unified protoc... |
2404.08031 | Runtao Liu | Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr,
Fabio Pizzati | Latent Guard: a Safety Framework for Text-to-image Generation | under review | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | With the ability to generate high-quality images, text-to-image (T2I) models
can be exploited for creating inappropriate content. To prevent misuse,
existing safety measures are either based on text blacklists, which can be
easily circumvented, or harmful content classification, requiring large
datasets for training ... | [
{
"created": "Thu, 11 Apr 2024 17:59:52 GMT",
"version": "v1"
}
] | 2024-04-15 | [
[
"Liu",
"Runtao",
""
],
[
"Khakzar",
"Ashkan",
""
],
[
"Gu",
"Jindong",
""
],
[
"Chen",
"Qifeng",
""
],
[
"Torr",
"Philip",
""
],
[
"Pizzati",
"Fabio",
""
]
] | With the ability to generate high-quality images, text-to-image (T2I) models can be exploited for creating inappropriate content. To prevent misuse, existing safety measures are either based on text blacklists, which can be easily circumvented, or harmful content classification, requiring large datasets for training an... |
2008.03529 | Zhiwen Zuo | Zhiwen Zuo, Lei Zhao, Zhizhong Wang, Haibo Chen, Ailin Li, Qijiang Xu,
Wei Xing, Dongming Lu | Multimodal Image-to-Image Translation via Mutual Information Estimation
and Maximization | null | null | null | null | cs.CV cs.LG eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multimodal image-to-image translation (I2IT) aims to learn a conditional
distribution that explores multiple possible images in the target domain given
an input image in the source domain. Conditional generative adversarial
networks (cGANs) are often adopted for modeling such a conditional
distribution. However, cGAN... | [
{
"created": "Sat, 8 Aug 2020 14:09:23 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Aug 2020 15:34:46 GMT",
"version": "v2"
},
{
"created": "Mon, 24 Aug 2020 08:29:29 GMT",
"version": "v3"
},
{
"created": "Mon, 31 Aug 2020 04:08:50 GMT",
"version": "v4"
},
{
"cr... | 2021-05-11 | [
[
"Zuo",
"Zhiwen",
""
],
[
"Zhao",
"Lei",
""
],
[
"Wang",
"Zhizhong",
""
],
[
"Chen",
"Haibo",
""
],
[
"Li",
"Ailin",
""
],
[
"Xu",
"Qijiang",
""
],
[
"Xing",
"Wei",
""
],
[
"Lu",
"Dongming",
... | Multimodal image-to-image translation (I2IT) aims to learn a conditional distribution that explores multiple possible images in the target domain given an input image in the source domain. Conditional generative adversarial networks (cGANs) are often adopted for modeling such a conditional distribution. However, cGANs ... |
2010.11422 | Ildoo Kim | Ildoo Kim, Younghoon Kim, Sungwoong Kim | Learning Loss for Test-Time Augmentation | Accepted at NeurIPS 2020 | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data augmentation has been actively studied for robust neural networks. Most
of the recent data augmentation methods focus on augmenting datasets during the
training phase. At the testing phase, simple transformations are still widely
used for test-time augmentation. This paper proposes a novel instance-level
test-ti... | [
{
"created": "Thu, 22 Oct 2020 03:56:34 GMT",
"version": "v1"
}
] | 2020-10-23 | [
[
"Kim",
"Ildoo",
""
],
[
"Kim",
"Younghoon",
""
],
[
"Kim",
"Sungwoong",
""
]
] | Data augmentation has been actively studied for robust neural networks. Most of the recent data augmentation methods focus on augmenting datasets during the training phase. At the testing phase, simple transformations are still widely used for test-time augmentation. This paper proposes a novel instance-level test-time... |
2401.14678 | Ziang Lu | Lei Guo, Ziang Lu, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin | Prompt-enhanced Federated Content Representation Learning for
Cross-domain Recommendation | 11 pages, 3 figures, accepted by WWW 2024 | null | 10.1145/3589334.3645337 | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cross-domain Recommendation (CDR) as one of the effective techniques in
alleviating the data sparsity issues has been widely studied in recent years.
However, previous works may cause domain privacy leakage since they necessitate
the aggregation of diverse domain data into a centralized server during the
training pro... | [
{
"created": "Fri, 26 Jan 2024 06:42:04 GMT",
"version": "v1"
},
{
"created": "Wed, 31 Jan 2024 09:34:37 GMT",
"version": "v2"
},
{
"created": "Fri, 10 May 2024 08:45:54 GMT",
"version": "v3"
}
] | 2024-05-13 | [
[
"Guo",
"Lei",
""
],
[
"Lu",
"Ziang",
""
],
[
"Yu",
"Junliang",
""
],
[
"Hung",
"Nguyen Quoc Viet",
""
],
[
"Yin",
"Hongzhi",
""
]
] | Cross-domain Recommendation (CDR) as one of the effective techniques in alleviating the data sparsity issues has been widely studied in recent years. However, previous works may cause domain privacy leakage since they necessitate the aggregation of diverse domain data into a centralized server during the training proce... |
2302.12196 | Shachi Deshpande | Shachi Deshpande, Charles Marx, Volodymyr Kuleshov | Calibrated Regression Against An Adversary Without Regret | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We are interested in probabilistic prediction in online settings in which
data does not follow a probability distribution. Our work seeks to achieve two
goals: (1) producing valid probabilities that accurately reflect model
confidence; and (2) ensuring that traditional notions of performance (e.g.,
high accuracy) sti... | [
{
"created": "Thu, 23 Feb 2023 17:42:11 GMT",
"version": "v1"
},
{
"created": "Thu, 1 Jun 2023 06:41:51 GMT",
"version": "v2"
},
{
"created": "Tue, 4 Jun 2024 21:33:04 GMT",
"version": "v3"
}
] | 2024-06-06 | [
[
"Deshpande",
"Shachi",
""
],
[
"Marx",
"Charles",
""
],
[
"Kuleshov",
"Volodymyr",
""
]
] | We are interested in probabilistic prediction in online settings in which data does not follow a probability distribution. Our work seeks to achieve two goals: (1) producing valid probabilities that accurately reflect model confidence; and (2) ensuring that traditional notions of performance (e.g., high accuracy) still... |
2012.01338 | Tobias Schlagenhauf | Tobias Schlagenhauf, Faruk Yildirim, Benedikt Br\"uckner | Siamese Basis Function Networks for Data-efficient Defect Classification
in Technical Domains | In the current version two contributing authors where added which
where unfortunately missed in the last version | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Training deep learning models in technical domains is often accompanied by
the challenge that although the task is clear, insufficient data for training
is available. In this work, we propose a novel approach based on the
combination of Siamese networks and radial basis function networks to perform
data-efficient cla... | [
{
"created": "Wed, 2 Dec 2020 17:16:42 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Sep 2021 04:43:11 GMT",
"version": "v10"
},
{
"created": "Fri, 4 Dec 2020 08:51:13 GMT",
"version": "v2"
},
{
"created": "Mon, 7 Dec 2020 06:34:17 GMT",
"version": "v3"
},
{
"cre... | 2021-09-29 | [
[
"Schlagenhauf",
"Tobias",
""
],
[
"Yildirim",
"Faruk",
""
],
[
"Brückner",
"Benedikt",
""
]
] | Training deep learning models in technical domains is often accompanied by the challenge that although the task is clear, insufficient data for training is available. In this work, we propose a novel approach based on the combination of Siamese networks and radial basis function networks to perform data-efficient class... |
2306.06206 | Rejwan Bin Sulaiman | Md. Simul Hasan Talukder, Rejwan Bin Sulaiman, Mohammad Raziuddin
Chowdhury, Musarrat Saberin Nipun, Taminul Islam | PotatoPestNet: A CTInceptionV3-RS-Based Neural Network for Accurate
Identification of Potato Pests | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | Potatoes are the third-largest food crop globally, but their production
frequently encounters difficulties because of aggressive pest infestations. The
aim of this study is to investigate the various types and characteristics of
these pests and propose an efficient PotatoPestNet AI-based automatic potato
pest identif... | [
{
"created": "Sat, 27 May 2023 17:38:16 GMT",
"version": "v1"
},
{
"created": "Sat, 15 Jul 2023 10:40:26 GMT",
"version": "v2"
}
] | 2023-07-18 | [
[
"Talukder",
"Md. Simul Hasan",
""
],
[
"Sulaiman",
"Rejwan Bin",
""
],
[
"Chowdhury",
"Mohammad Raziuddin",
""
],
[
"Nipun",
"Musarrat Saberin",
""
],
[
"Islam",
"Taminul",
""
]
] | Potatoes are the third-largest food crop globally, but their production frequently encounters difficulties because of aggressive pest infestations. The aim of this study is to investigate the various types and characteristics of these pests and propose an efficient PotatoPestNet AI-based automatic potato pest identific... |
2101.03799 | Felix Denzinger | Felix Denzinger, Michael Wels, Christian Hopfgartner, Jing Lu, Max
Sch\"obinger, Andreas Maier, Michael S\"uhling | Coronary Plaque Analysis for CT Angiography Clinical Research | Accepted to BVM 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The analysis of plaque deposits in the coronary vasculature is an important
topic in current clinical research. From a technical side mostly new algorithms
for different sub tasks - e.g. centerline extraction or vessel/plaque
segmentation - are proposed. However, to enable clinical research with the help
of these alg... | [
{
"created": "Mon, 11 Jan 2021 10:22:13 GMT",
"version": "v1"
}
] | 2021-01-12 | [
[
"Denzinger",
"Felix",
""
],
[
"Wels",
"Michael",
""
],
[
"Hopfgartner",
"Christian",
""
],
[
"Lu",
"Jing",
""
],
[
"Schöbinger",
"Max",
""
],
[
"Maier",
"Andreas",
""
],
[
"Sühling",
"Michael",
""
]
] | The analysis of plaque deposits in the coronary vasculature is an important topic in current clinical research. From a technical side mostly new algorithms for different sub tasks - e.g. centerline extraction or vessel/plaque segmentation - are proposed. However, to enable clinical research with the help of these algor... |
1604.06558 | Diogo Almeida | Diogo Almeida and Yiannis Karayiannidis | Folding Assembly by Means of Dual-Arm Robotic Manipulation | 7 pages, accepted for ICRA 2016 | null | null | null | cs.RO cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider folding assembly as an assembly primitive suitable
for dual-arm robotic assembly, that can be integrated in a higher level
assembly strategy. The system composed by two pieces in contact is modelled as
an articulated object, connected by a prismatic-revolute joint. Different
grasping scenar... | [
{
"created": "Fri, 22 Apr 2016 07:43:37 GMT",
"version": "v1"
}
] | 2016-04-25 | [
[
"Almeida",
"Diogo",
""
],
[
"Karayiannidis",
"Yiannis",
""
]
] | In this paper, we consider folding assembly as an assembly primitive suitable for dual-arm robotic assembly, that can be integrated in a higher level assembly strategy. The system composed by two pieces in contact is modelled as an articulated object, connected by a prismatic-revolute joint. Different grasping scenario... |
1704.06037 | Erel Segal-Halevi | Mor Nitzan and Shmuel Nitzan and Erel Segal-Halevi | Flexible Level-1 Consensus Ensuring Stable Social Choice: Analysis and
Algorithms | null | Social Choice and Welfare, 2/11/2017, pages 1-23 | 10.1007/s00355-017-1092-2 | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Level-1 Consensus is a property of a preference-profile. Intuitively, it
means that there exists a preference relation which induces an ordering of all
other preferences such that frequent preferences are those that are more
similar to it. This is a desirable property, since it enhances the stability of
social choice... | [
{
"created": "Thu, 20 Apr 2017 07:54:10 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Dec 2017 10:23:34 GMT",
"version": "v2"
}
] | 2017-12-20 | [
[
"Nitzan",
"Mor",
""
],
[
"Nitzan",
"Shmuel",
""
],
[
"Segal-Halevi",
"Erel",
""
]
] | Level-1 Consensus is a property of a preference-profile. Intuitively, it means that there exists a preference relation which induces an ordering of all other preferences such that frequent preferences are those that are more similar to it. This is a desirable property, since it enhances the stability of social choice b... |
2004.03672 | Zi-Yi Dou | Zi-Yi Dou, Antonios Anastasopoulos, Graham Neubig | Dynamic Data Selection and Weighting for Iterative Back-Translation | EMNLP 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Back-translation has proven to be an effective method to utilize monolingual
data in neural machine translation (NMT), and iteratively conducting
back-translation can further improve the model performance. Selecting which
monolingual data to back-translate is crucial, as we require that the resulting
synthetic data a... | [
{
"created": "Tue, 7 Apr 2020 19:49:58 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Oct 2020 22:00:22 GMT",
"version": "v2"
}
] | 2020-10-09 | [
[
"Dou",
"Zi-Yi",
""
],
[
"Anastasopoulos",
"Antonios",
""
],
[
"Neubig",
"Graham",
""
]
] | Back-translation has proven to be an effective method to utilize monolingual data in neural machine translation (NMT), and iteratively conducting back-translation can further improve the model performance. Selecting which monolingual data to back-translate is crucial, as we require that the resulting synthetic data are... |
1705.05168 | Qimei Cui | Qimei Cui, Yu Gu, Wei Ni, and Renping Liu | Effective Capacity of Licensed-Assisted Access in Unlicensed Spectrum
for 5G: From Theory to Application | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | License-assisted access (LAA) is a promising technology to offload
dramatically increasing cellular traffic to unlicensed bands. Challenges arise
from the provision of quality-of-service (QoS) and the quantification of
capacity, due to the distributed and heterogeneous nature of LAA and legacy
systems (such as WiFi) ... | [
{
"created": "Mon, 15 May 2017 11:43:29 GMT",
"version": "v1"
},
{
"created": "Sun, 21 May 2017 05:25:02 GMT",
"version": "v2"
}
] | 2017-05-23 | [
[
"Cui",
"Qimei",
""
],
[
"Gu",
"Yu",
""
],
[
"Ni",
"Wei",
""
],
[
"Liu",
"Renping",
""
]
] | License-assisted access (LAA) is a promising technology to offload dramatically increasing cellular traffic to unlicensed bands. Challenges arise from the provision of quality-of-service (QoS) and the quantification of capacity, due to the distributed and heterogeneous nature of LAA and legacy systems (such as WiFi) co... |
1508.04123 | Alex Mbaziira | Alex V. Mbaziira, Ehab Abozinadah, and James H. Jones Jr | Evaluating Classifiers in Detecting 419 Scams in Bilingual Cybercriminal
Communities | 7 pages | null | null | null | cs.SI cs.CY cs.LG | http://creativecommons.org/licenses/by/4.0/ | Incidents of organized cybercrime are rising because of criminals are reaping
high financial rewards while incurring low costs to commit crime. As the
digital landscape broadens to accommodate more internet-enabled devices and
technologies like social media, more cybercriminals who are not native English
speakers are... | [
{
"created": "Mon, 17 Aug 2015 19:38:50 GMT",
"version": "v1"
}
] | 2015-08-18 | [
[
"Mbaziira",
"Alex V.",
""
],
[
"Abozinadah",
"Ehab",
""
],
[
"Jones",
"James H.",
"Jr"
]
] | Incidents of organized cybercrime are rising because of criminals are reaping high financial rewards while incurring low costs to commit crime. As the digital landscape broadens to accommodate more internet-enabled devices and technologies like social media, more cybercriminals who are not native English speakers are i... |
2103.01288 | Franz Wotawa | Florian Kl\"uck, Lorenz Klampfl, Franz Wotawa | Automatic Generation of Challenging Road Networks for ALKS Testing based
on Bezier Curves and Search | 4 pages, 3 tables | null | null | null | cs.SE cs.RO | http://creativecommons.org/licenses/by/4.0/ | In this paper, we outline an approach for automatic generation of challenging
road networks for virtual testing of an automated lane keep system. Based on a
set of control points, we construct a parametric curve that represents a road
network, which defines the dynamic driving task an automated lane keep system
equip... | [
{
"created": "Mon, 1 Mar 2021 20:01:57 GMT",
"version": "v1"
}
] | 2021-03-03 | [
[
"Klück",
"Florian",
""
],
[
"Klampfl",
"Lorenz",
""
],
[
"Wotawa",
"Franz",
""
]
] | In this paper, we outline an approach for automatic generation of challenging road networks for virtual testing of an automated lane keep system. Based on a set of control points, we construct a parametric curve that represents a road network, which defines the dynamic driving task an automated lane keep system equippe... |
2010.12496 | Chaoning Zhang | Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik
Kim, Francois Rameau, Jean-Charles Bazin, In So Kweon | ResNet or DenseNet? Introducing Dense Shortcuts to ResNet | Accepted to WACV2021 first round | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | ResNet or DenseNet? Nowadays, most deep learning based approaches are
implemented with seminal backbone networks, among them the two arguably most
famous ones are ResNet and DenseNet. Despite their competitive performance and
overwhelming popularity, inherent drawbacks exist for both of them. For ResNet,
the identity... | [
{
"created": "Fri, 23 Oct 2020 16:00:15 GMT",
"version": "v1"
}
] | 2020-10-26 | [
[
"Zhang",
"Chaoning",
""
],
[
"Benz",
"Philipp",
""
],
[
"Argaw",
"Dawit Mureja",
""
],
[
"Lee",
"Seokju",
""
],
[
"Kim",
"Junsik",
""
],
[
"Rameau",
"Francois",
""
],
[
"Bazin",
"Jean-Charles",
""
],
[
... | ResNet or DenseNet? Nowadays, most deep learning based approaches are implemented with seminal backbone networks, among them the two arguably most famous ones are ResNet and DenseNet. Despite their competitive performance and overwhelming popularity, inherent drawbacks exist for both of them. For ResNet, the identity s... |
1302.2331 | Matan Gavish | David L. Donoho, Matan Gavish, Andrea Montanari | The Phase Transition of Matrix Recovery from Gaussian Measurements
Matches the Minimax MSE of Matrix Denoising | null | null | 10.1073/pnas.1306110110 | null | cs.IT math.IT math.ST stat.TH | http://creativecommons.org/licenses/by/3.0/ | Let $X_0$ be an unknown $M$ by $N$ matrix. In matrix recovery, one takes $n <
MN$ linear measurements $y_1,..., y_n$ of $X_0$, where $y_i = \Tr(a_i^T X_0)$
and each $a_i$ is a $M$ by $N$ matrix. For measurement matrices with Gaussian
i.i.d entries, it known that if $X_0$ is of low rank, it is recoverable from
just a ... | [
{
"created": "Sun, 10 Feb 2013 14:01:11 GMT",
"version": "v1"
}
] | 2015-06-15 | [
[
"Donoho",
"David L.",
""
],
[
"Gavish",
"Matan",
""
],
[
"Montanari",
"Andrea",
""
]
] | Let $X_0$ be an unknown $M$ by $N$ matrix. In matrix recovery, one takes $n < MN$ linear measurements $y_1,..., y_n$ of $X_0$, where $y_i = \Tr(a_i^T X_0)$ and each $a_i$ is a $M$ by $N$ matrix. For measurement matrices with Gaussian i.i.d entries, it known that if $X_0$ is of low rank, it is recoverable from just a fe... |
2303.10195 | Sudarshan Ambasamudram Rajagopalan | Furkan Kaynar, Sudarshan Rajagopalan, Shaobo Zhou, Eckehard Steinbach | Remote Task-oriented Grasp Area Teaching By Non-Experts through
Interactive Segmentation and Few-Shot Learning | Presented at the AAAI Workshop on Artificial Intelligence for
User-Centric Assistance in at-Home Tasks (2023) | null | null | null | cs.CV cs.RO | http://creativecommons.org/licenses/by/4.0/ | A robot operating in unstructured environments must be able to discriminate
between different grasping styles depending on the prospective manipulation
task. Having a system that allows learning from remote non-expert
demonstrations can very feasibly extend the cognitive skills of a robot for
task-oriented grasping. ... | [
{
"created": "Fri, 17 Mar 2023 18:09:01 GMT",
"version": "v1"
}
] | 2023-03-21 | [
[
"Kaynar",
"Furkan",
""
],
[
"Rajagopalan",
"Sudarshan",
""
],
[
"Zhou",
"Shaobo",
""
],
[
"Steinbach",
"Eckehard",
""
]
] | A robot operating in unstructured environments must be able to discriminate between different grasping styles depending on the prospective manipulation task. Having a system that allows learning from remote non-expert demonstrations can very feasibly extend the cognitive skills of a robot for task-oriented grasping. We... |
2104.05858 | Qing Lian | Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang | Exploring Geometric Consistency for Monocular 3D Object Detection | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | This paper investigates the geometric consistency for monocular 3D object
detection, which suffers from the ill-posed depth estimation. We first conduct
a thorough analysis to reveal how existing methods fail to consistently
localize objects when different geometric shifts occur. In particular, we
design a series of ... | [
{
"created": "Mon, 12 Apr 2021 23:12:48 GMT",
"version": "v1"
},
{
"created": "Sun, 22 May 2022 01:23:21 GMT",
"version": "v2"
}
] | 2022-05-24 | [
[
"Lian",
"Qing",
""
],
[
"Ye",
"Botao",
""
],
[
"Xu",
"Ruijia",
""
],
[
"Yao",
"Weilong",
""
],
[
"Zhang",
"Tong",
""
]
] | This paper investigates the geometric consistency for monocular 3D object detection, which suffers from the ill-posed depth estimation. We first conduct a thorough analysis to reveal how existing methods fail to consistently localize objects when different geometric shifts occur. In particular, we design a series of ge... |
2202.08486 | Xinhong Dai | Xinhong Dai, Bin Duo, Xiaojun Yuan and Wanbin Tang | Energy-Efficient UAV Communications: A Generalised Propulsion Energy
Consumption Model | 5 pages, 4 figures | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | This paper proposes a generalised propulsion energy consumption model (PECM)
for rotary-wing ummanned aerial vehicles (UAVs) under the consideration of the
practical thrust-to-weight ratio (TWR) with respect to the velocity,
acceleration and direction change of the UAVs. To verify the effectiveness of
the proposed PE... | [
{
"created": "Thu, 17 Feb 2022 07:40:49 GMT",
"version": "v1"
}
] | 2022-02-18 | [
[
"Dai",
"Xinhong",
""
],
[
"Duo",
"Bin",
""
],
[
"Yuan",
"Xiaojun",
""
],
[
"Tang",
"Wanbin",
""
]
] | This paper proposes a generalised propulsion energy consumption model (PECM) for rotary-wing ummanned aerial vehicles (UAVs) under the consideration of the practical thrust-to-weight ratio (TWR) with respect to the velocity, acceleration and direction change of the UAVs. To verify the effectiveness of the proposed PECM... |
2406.02860 | Yiru Liu | Yiru Liu, Xiaocong Zhao, Jian Sun | Towards Interactive Autonomous Vehicle Testing:
Vehicle-Under-Test-Centered Traffic Simulation | 7 pages, 4 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The simulation-based testing is essential for safely implementing autonomous
vehicles (AV) on roads, necessitating simulated traffic environments that
dynamically interact with the Vehicle Under Test (VUT). This study introduces a
VUT-Centered environmental Dynamics Inference (VCDI) model for realistic,
interactive, ... | [
{
"created": "Wed, 5 Jun 2024 02:21:17 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Jul 2024 16:43:35 GMT",
"version": "v2"
}
] | 2024-07-29 | [
[
"Liu",
"Yiru",
""
],
[
"Zhao",
"Xiaocong",
""
],
[
"Sun",
"Jian",
""
]
] | The simulation-based testing is essential for safely implementing autonomous vehicles (AV) on roads, necessitating simulated traffic environments that dynamically interact with the Vehicle Under Test (VUT). This study introduces a VUT-Centered environmental Dynamics Inference (VCDI) model for realistic, interactive, an... |
1910.09524 | Naser Damer | Naser Damer, Fadi Boutros, Khawla Mallat, Florian Kirchbuchner,
Jean-Luc Dugelay, Arjan Kuijper | Cascaded Generation of High-quality Color Visible Face Images from
Thermal Captures | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generating visible-like face images from thermal images is essential to
perform manual and automatic cross-spectrum face recognition. We successfully
propose a solution based on cascaded refinement network that, unlike previous
works, produces high quality generated color images without the need for face
alignment, l... | [
{
"created": "Mon, 21 Oct 2019 17:37:44 GMT",
"version": "v1"
}
] | 2019-10-22 | [
[
"Damer",
"Naser",
""
],
[
"Boutros",
"Fadi",
""
],
[
"Mallat",
"Khawla",
""
],
[
"Kirchbuchner",
"Florian",
""
],
[
"Dugelay",
"Jean-Luc",
""
],
[
"Kuijper",
"Arjan",
""
]
] | Generating visible-like face images from thermal images is essential to perform manual and automatic cross-spectrum face recognition. We successfully propose a solution based on cascaded refinement network that, unlike previous works, produces high quality generated color images without the need for face alignment, lar... |
1204.3239 | Prateek Bhakta | Prateek Bhakta, Sarah Miracle, Dana Randall, Amanda Pascoe Streib | Mixing Times of Self-Organizing Lists and Biased Permutations | 21 pages | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sampling permutations from S_n is a fundamental problem from probability
theory. The nearest neighbor transposition chain \cal{M}}_{nn} is known to
converge in time \Theta(n^3 \log n) in the uniform case and time \Theta(n^2) in
the constant bias case, in which we put adjacent elements in order with
probability p \neq... | [
{
"created": "Sun, 15 Apr 2012 06:21:46 GMT",
"version": "v1"
}
] | 2012-04-17 | [
[
"Bhakta",
"Prateek",
""
],
[
"Miracle",
"Sarah",
""
],
[
"Randall",
"Dana",
""
],
[
"Streib",
"Amanda Pascoe",
""
]
] | Sampling permutations from S_n is a fundamental problem from probability theory. The nearest neighbor transposition chain \cal{M}}_{nn} is known to converge in time \Theta(n^3 \log n) in the uniform case and time \Theta(n^2) in the constant bias case, in which we put adjacent elements in order with probability p \neq 1... |
1812.11825 | Pradgnya Kiri Taksande | Pradnya Kiri Taksande, Pranav Jha, Abhay Karandikar | Dual Connectivity Support in 5G Networks: An SDN based approach | null | null | null | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Dual Connectivity (DC) is one of the key techniques to harness the potential
of heterogeneous cellular networks. However, 3rd Generation Partnership Project
(3GPP) has introduced disparate mechanisms for DC support in different Radio
Access Technologies (RATs), bringing complexity to the network nodes in a
Multi-RAT ... | [
{
"created": "Tue, 4 Dec 2018 04:51:49 GMT",
"version": "v1"
}
] | 2019-01-01 | [
[
"Taksande",
"Pradnya Kiri",
""
],
[
"Jha",
"Pranav",
""
],
[
"Karandikar",
"Abhay",
""
]
] | Dual Connectivity (DC) is one of the key techniques to harness the potential of heterogeneous cellular networks. However, 3rd Generation Partnership Project (3GPP) has introduced disparate mechanisms for DC support in different Radio Access Technologies (RATs), bringing complexity to the network nodes in a Multi-RAT Ra... |
1206.5349 | Rong Ge | Sanjeev Arora, Rong Ge, Ankur Moitra, Sushant Sachdeva | Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian
Mixtures and Autoencoders | null | null | null | null | cs.LG cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new algorithm for Independent Component Analysis (ICA) which has
provable performance guarantees. In particular, suppose we are given samples of
the form $y = Ax + \eta$ where $A$ is an unknown $n \times n$ matrix and $x$ is
a random variable whose components are independent and have a fourth moment
stri... | [
{
"created": "Sat, 23 Jun 2012 01:33:37 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Nov 2012 01:42:37 GMT",
"version": "v2"
}
] | 2012-11-13 | [
[
"Arora",
"Sanjeev",
""
],
[
"Ge",
"Rong",
""
],
[
"Moitra",
"Ankur",
""
],
[
"Sachdeva",
"Sushant",
""
]
] | We present a new algorithm for Independent Component Analysis (ICA) which has provable performance guarantees. In particular, suppose we are given samples of the form $y = Ax + \eta$ where $A$ is an unknown $n \times n$ matrix and $x$ is a random variable whose components are independent and have a fourth moment strict... |
2401.01178 | Yuping Hu | Yuping Hu, Xin Huang, Jiayi Li, Zhen Zhang | GBSS:a global building semantic segmentation dataset for large-scale
remote sensing building extraction | 5 pages,6 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Semantic segmentation techniques for extracting building footprints from
high-resolution remote sensing images have been widely used in many fields such
as urban planning. However, large-scale building extraction demands higher
diversity in training samples. In this paper, we construct a Global Building
Semantic Segm... | [
{
"created": "Tue, 2 Jan 2024 12:13:35 GMT",
"version": "v1"
}
] | 2024-01-03 | [
[
"Hu",
"Yuping",
""
],
[
"Huang",
"Xin",
""
],
[
"Li",
"Jiayi",
""
],
[
"Zhang",
"Zhen",
""
]
] | Semantic segmentation techniques for extracting building footprints from high-resolution remote sensing images have been widely used in many fields such as urban planning. However, large-scale building extraction demands higher diversity in training samples. In this paper, we construct a Global Building Semantic Segmen... |
2212.12502 | Oleg Kiselyov | Oleg Kiselyov, Toshihiro Nakayama (Tohoku University, Japan) | Demo: New View on Plasma Fractals -- From the High Point of Array
Languages | Peer-reviewed, accepted for presentation and presented at the ACM
SIGPLAN FARM 2022 workshop | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Plasma fractals is a technique to generate random and realistic clouds,
textures and terrains~-- traditionally using recursive subdivision. We
demonstrate a new approach, based on iterative expansion. It gives a family of
algorithms that includes the standard square-diamond algorithm and offers
various interesting wa... | [
{
"created": "Sat, 10 Dec 2022 13:37:32 GMT",
"version": "v1"
}
] | 2022-12-26 | [
[
"Kiselyov",
"Oleg",
"",
"Tohoku University, Japan"
],
[
"Nakayama",
"Toshihiro",
"",
"Tohoku University, Japan"
]
] | Plasma fractals is a technique to generate random and realistic clouds, textures and terrains~-- traditionally using recursive subdivision. We demonstrate a new approach, based on iterative expansion. It gives a family of algorithms that includes the standard square-diamond algorithm and offers various interesting ways... |
1906.03256 | Ali Sharif | Shidokht Hejazi-Sepehr, Ross Kitsis and Ali Sharif | Transwarp Conduit: Interoperable Blockchain Application Framework | null | null | null | null | cs.SE cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transwarp-Conduit (TWC) is a protocol for message transfers between two
smart-contract enabled blockchains. Furthermore, we specify an application
framework (leveraging the TWC protocol) that enables developers to define
arbitrarily complex cross-blockchain applications, simply by deploying
framework-compliant smart ... | [
{
"created": "Fri, 7 Jun 2019 17:49:25 GMT",
"version": "v1"
}
] | 2019-06-10 | [
[
"Hejazi-Sepehr",
"Shidokht",
""
],
[
"Kitsis",
"Ross",
""
],
[
"Sharif",
"Ali",
""
]
] | Transwarp-Conduit (TWC) is a protocol for message transfers between two smart-contract enabled blockchains. Furthermore, we specify an application framework (leveraging the TWC protocol) that enables developers to define arbitrarily complex cross-blockchain applications, simply by deploying framework-compliant smart co... |
1708.06463 | EPTCS | Manfred Droste (Universit\"at Leipzig, Institut f\"ur Informatik),
Zolt\'an \'Esik (University of Szeged, Department of Foundations of Computer
Science), Werner Kuich (Technische Universit\"at Wien, Institut f\"ur
Diskrete Mathematik und Geometrie) | The Triple-Pair Construction for Weighted $\omega$-Pushdown Automata | In Proceedings AFL 2017, arXiv:1708.06226. The article was prepared
as a joint work with the late Zolt\'an \'Esik (1951-2016) whose definite
intention was to publish the results | EPTCS 252, 2017, pp. 101-113 | 10.4204/EPTCS.252.12 | null | cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Let S be a complete star-omega semiring and Sigma be an alphabet. For a
weighted omega-pushdown automaton P with stateset 1...n, n greater or equal to
1, we show that there exists a mixed algebraic system over a complete
semiring-semimodule pair ((S<<Sigma*>>)^nxn, (S<<Sigma^omega>>)^n) such that
the behavior ||P|| o... | [
{
"created": "Tue, 22 Aug 2017 00:49:39 GMT",
"version": "v1"
}
] | 2017-08-23 | [
[
"Droste",
"Manfred",
"",
"Universität Leipzig, Institut für Informatik"
],
[
"Ésik",
"Zoltán",
"",
"University of Szeged, Department of Foundations of Computer\n Science"
],
[
"Kuich",
"Werner",
"",
"Technische Universität Wien, Institut für\n Diskrete Mat... | Let S be a complete star-omega semiring and Sigma be an alphabet. For a weighted omega-pushdown automaton P with stateset 1...n, n greater or equal to 1, we show that there exists a mixed algebraic system over a complete semiring-semimodule pair ((S<<Sigma*>>)^nxn, (S<<Sigma^omega>>)^n) such that the behavior ||P|| of ... |
2109.03139 | Maximilian A. K\"ohl | Maximilian A. K\"ohl | An Executable Structural Operational Formal Semantics for Python | null | null | null | null | cs.PL | http://creativecommons.org/licenses/by-sa/4.0/ | Python is a popular high-level general-purpose programming language also
heavily used by the scientific community. It supports a variety of different
programming paradigms and is preferred by many for its ease of use. With the
vision of harvesting static analysis techniques like abstract interpretation
for Python, we... | [
{
"created": "Tue, 7 Sep 2021 15:11:23 GMT",
"version": "v1"
}
] | 2021-09-08 | [
[
"Köhl",
"Maximilian A.",
""
]
] | Python is a popular high-level general-purpose programming language also heavily used by the scientific community. It supports a variety of different programming paradigms and is preferred by many for its ease of use. With the vision of harvesting static analysis techniques like abstract interpretation for Python, we d... |
2305.02968 | Aravind Rajeswaran | Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch,
Pieter Abbeel, Aravind Rajeswaran | Masked Trajectory Models for Prediction, Representation, and Control | Accepted for publication at ICML 2023. Project webpage:
https://wuphilipp.github.io/mtm/ | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | We introduce Masked Trajectory Models (MTM) as a generic abstraction for
sequential decision making. MTM takes a trajectory, such as a state-action
sequence, and aims to reconstruct the trajectory conditioned on random subsets
of the same trajectory. By training with a highly randomized masking pattern,
MTM learns ve... | [
{
"created": "Thu, 4 May 2023 16:12:19 GMT",
"version": "v1"
}
] | 2023-05-05 | [
[
"Wu",
"Philipp",
""
],
[
"Majumdar",
"Arjun",
""
],
[
"Stone",
"Kevin",
""
],
[
"Lin",
"Yixin",
""
],
[
"Mordatch",
"Igor",
""
],
[
"Abbeel",
"Pieter",
""
],
[
"Rajeswaran",
"Aravind",
""
]
] | We introduce Masked Trajectory Models (MTM) as a generic abstraction for sequential decision making. MTM takes a trajectory, such as a state-action sequence, and aims to reconstruct the trajectory conditioned on random subsets of the same trajectory. By training with a highly randomized masking pattern, MTM learns vers... |
2308.07323 | Robert Burdett | Robert L Burdett, Paul corry, David Cook, Prasad Yarlagadda | Analytical Techniques to Support Hospital Case Mix Planning | 20 pages, 11 tables, 6 figures | null | null | null | cs.AI cs.CY | http://creativecommons.org/licenses/by/4.0/ | This article introduces analytical techniques and a decision support tool to
support capacity assessment and case mix planning (CMP) approaches previously
created for hospitals. First, an optimization model is proposed to analyse the
impact of making a change to an existing case mix. This model identifies how
other p... | [
{
"created": "Mon, 31 Jul 2023 22:59:34 GMT",
"version": "v1"
}
] | 2023-08-16 | [
[
"Burdett",
"Robert L",
""
],
[
"corry",
"Paul",
""
],
[
"Cook",
"David",
""
],
[
"Yarlagadda",
"Prasad",
""
]
] | This article introduces analytical techniques and a decision support tool to support capacity assessment and case mix planning (CMP) approaches previously created for hospitals. First, an optimization model is proposed to analyse the impact of making a change to an existing case mix. This model identifies how other pat... |
2405.19109 | Fangzhi Xu | Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu | PathReasoner: Modeling Reasoning Path with Equivalent Extension for
Logical Question Answering | Accepted by ACL 2024 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Logical reasoning task has attracted great interest since it was proposed.
Faced with such a task, current competitive models, even large language models
(e.g., ChatGPT and PaLM 2), still perform badly. Previous promising LMs
struggle in logical consistency modeling and logical structure perception. To
this end, we m... | [
{
"created": "Wed, 29 May 2024 14:14:05 GMT",
"version": "v1"
}
] | 2024-05-30 | [
[
"Xu",
"Fangzhi",
""
],
[
"Lin",
"Qika",
""
],
[
"Zhao",
"Tianzhe",
""
],
[
"Han",
"Jiawei",
""
],
[
"Liu",
"Jun",
""
]
] | Logical reasoning task has attracted great interest since it was proposed. Faced with such a task, current competitive models, even large language models (e.g., ChatGPT and PaLM 2), still perform badly. Previous promising LMs struggle in logical consistency modeling and logical structure perception. To this end, we mod... |
cs/0506006 | Guillaume Huard | Nicolas Capit (ID - Imag, Inria Rh\^one-Alpes / Id-Imag), Georges Da
Costa (ID - Imag, Inria Rh\^one-Alpes / Id-Imag), Yiannis Georgiou (ID -
Imag, Inria Rh\^one-Alpes / Id-Imag), Guillaume Huard (ID - Imag, Inria
Rh\^one-Alpes / Id-Imag), Cyrille Martin (ID - Imag), Gr\'egory Mouni\'e (ID
- Imag, Inria Rh\^one... | A batch scheduler with high level components | null | Cluster computing and Grid 2005 (CCGrid05), Royaume-Uni (2005) | null | null | cs.DC | null | In this article we present the design choices and the evaluation of a batch
scheduler for large clusters, named OAR. This batch scheduler is based upon an
original design that emphasizes on low software complexity by using high level
tools. The global architecture is built upon the scripting language Perl and
the rel... | [
{
"created": "Thu, 2 Jun 2005 13:04:14 GMT",
"version": "v1"
}
] | 2016-08-16 | [
[
"Capit",
"Nicolas",
"",
"ID - Imag, Inria Rhône-Alpes / Id-Imag"
],
[
"Da Costa",
"Georges",
"",
"ID - Imag, Inria Rhône-Alpes / Id-Imag"
],
[
"Georgiou",
"Yiannis",
"",
"ID -\n Imag, Inria Rhône-Alpes / Id-Imag"
],
[
"Huard",
"Guillaume",
"... | In this article we present the design choices and the evaluation of a batch scheduler for large clusters, named OAR. This batch scheduler is based upon an original design that emphasizes on low software complexity by using high level tools. The global architecture is built upon the scripting language Perl and the relat... |
2011.03077 | Nitin J. Sanket | Nitin J. Sanket, Chahat Deep Singh, Varun Asthana, Cornelia
Ferm\"uller, Yiannis Aloimonos | MorphEyes: Variable Baseline Stereo For Quadrotor Navigation | 7 pages, 10 figures, 1 table. Under review in ICRA 2021 | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Morphable design and depth-based visual control are two upcoming trends
leading to advancements in the field of quadrotor autonomy. Stereo-cameras have
struck the perfect balance of weight and accuracy of depth estimation but
suffer from the problem of depth range being limited and dictated by the
baseline chosen at ... | [
{
"created": "Thu, 5 Nov 2020 20:04:35 GMT",
"version": "v1"
}
] | 2020-11-09 | [
[
"Sanket",
"Nitin J.",
""
],
[
"Singh",
"Chahat Deep",
""
],
[
"Asthana",
"Varun",
""
],
[
"Fermüller",
"Cornelia",
""
],
[
"Aloimonos",
"Yiannis",
""
]
] | Morphable design and depth-based visual control are two upcoming trends leading to advancements in the field of quadrotor autonomy. Stereo-cameras have struck the perfect balance of weight and accuracy of depth estimation but suffer from the problem of depth range being limited and dictated by the baseline chosen at de... |
1806.00771 | Yan Niu | Yan Niu, Jihong Ouyang, Wanli Zuo, Fuxin Wang | Low Cost Edge Sensing for High Quality Demosaicking | Corresponding E-mail: niuyan@jlu.edu.cn;ouyj@jlu.edu.cn | null | 10.1109/TIP.2018.2883815 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Digital cameras that use Color Filter Arrays (CFA) entail a demosaicking
procedure to form full RGB images. As today's camera users generally require
images to be viewed instantly, demosaicking algorithms for real applications
must be fast. Moreover, the associated cost should be lower than the cost saved
by using CF... | [
{
"created": "Sun, 3 Jun 2018 11:17:15 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Jun 2018 10:45:56 GMT",
"version": "v2"
}
] | 2019-03-27 | [
[
"Niu",
"Yan",
""
],
[
"Ouyang",
"Jihong",
""
],
[
"Zuo",
"Wanli",
""
],
[
"Wang",
"Fuxin",
""
]
] | Digital cameras that use Color Filter Arrays (CFA) entail a demosaicking procedure to form full RGB images. As today's camera users generally require images to be viewed instantly, demosaicking algorithms for real applications must be fast. Moreover, the associated cost should be lower than the cost saved by using CFA.... |
2302.01496 | Junwen Bai | Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara
N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Francoise
Beaufays | Efficient Domain Adaptation for Speech Foundation Models | null | null | null | null | cs.CL cs.LG cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Foundation models (FMs), that are trained on broad data at scale and are
adaptable to a wide range of downstream tasks, have brought large interest in
the research community. Benefiting from the diverse data sources such as
different modalities, languages and application domains, foundation models have
demonstrated s... | [
{
"created": "Fri, 3 Feb 2023 02:10:35 GMT",
"version": "v1"
}
] | 2023-02-06 | [
[
"Li",
"Bo",
""
],
[
"Hwang",
"Dongseong",
""
],
[
"Huo",
"Zhouyuan",
""
],
[
"Bai",
"Junwen",
""
],
[
"Prakash",
"Guru",
""
],
[
"Sainath",
"Tara N.",
""
],
[
"Sim",
"Khe Chai",
""
],
[
"Zhang",
... | Foundation models (FMs), that are trained on broad data at scale and are adaptable to a wide range of downstream tasks, have brought large interest in the research community. Benefiting from the diverse data sources such as different modalities, languages and application domains, foundation models have demonstrated str... |
1806.07038 | Devashish Gosain | H. B. Acharya, Sambuddho Chakravarty, Devashish Gosain | Few Throats to Choke: On the Current Structure of the Internet | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The original design of the Internet was a resilient, distributed system, that
maybe able to route around (and therefore recover from) massive disruption ---
up to and including nuclear war. However, network routing effects and business
decisions cause traffic to often be routed through a relatively small set of
Auton... | [
{
"created": "Tue, 19 Jun 2018 04:39:29 GMT",
"version": "v1"
}
] | 2018-06-20 | [
[
"Acharya",
"H. B.",
""
],
[
"Chakravarty",
"Sambuddho",
""
],
[
"Gosain",
"Devashish",
""
]
] | The original design of the Internet was a resilient, distributed system, that maybe able to route around (and therefore recover from) massive disruption --- up to and including nuclear war. However, network routing effects and business decisions cause traffic to often be routed through a relatively small set of Autonom... |
2203.01620 | Aur\'elien Naldi | Aur\'elien Naldi and Adrien Richard and Elisa Tonello | Linear cuts in Boolean networks | null | null | null | null | cs.DM q-bio.MN | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Boolean networks are popular tools for the exploration of qualitative
dynamical properties of biological systems. Several dynamical interpretations
have been proposed based on the same logical structure that captures the
interactions between Boolean components. They reproduce, in different degrees,
the behaviours eme... | [
{
"created": "Thu, 3 Mar 2022 10:26:11 GMT",
"version": "v1"
}
] | 2022-03-04 | [
[
"Naldi",
"Aurélien",
""
],
[
"Richard",
"Adrien",
""
],
[
"Tonello",
"Elisa",
""
]
] | Boolean networks are popular tools for the exploration of qualitative dynamical properties of biological systems. Several dynamical interpretations have been proposed based on the same logical structure that captures the interactions between Boolean components. They reproduce, in different degrees, the behaviours emerg... |
2107.00962 | Antonella Barisic | Antonella Barisic, Frano Petric, Stjepan Bogdan | Brain over Brawn: Using a Stereo Camera to Detect, Track, and Intercept
a Faster UAV by Reconstructing the Intruder's Trajectory | Published in journal Field Robotics, March 2022. UAV-Eagle dataset
available at: https://github.com/larics/UAV-Eagle | Field Robotics 2022 ISSN: 2771-3989 | 10.55417/fr.2022009 | null | cs.RO cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper presents our approach to intercepting a faster intruder UAV,
inspired by the MBZIRC 2020 Challenge 1. By utilizing a priori knowledge of the
shape of the intruder's trajectory, we can calculate an interception point.
Target tracking is based on image processing by a YOLOv3 Tiny convolutional
neural network... | [
{
"created": "Fri, 2 Jul 2021 10:49:22 GMT",
"version": "v1"
},
{
"created": "Tue, 14 Jun 2022 22:15:46 GMT",
"version": "v2"
}
] | 2022-06-16 | [
[
"Barisic",
"Antonella",
""
],
[
"Petric",
"Frano",
""
],
[
"Bogdan",
"Stjepan",
""
]
] | This paper presents our approach to intercepting a faster intruder UAV, inspired by the MBZIRC 2020 Challenge 1. By utilizing a priori knowledge of the shape of the intruder's trajectory, we can calculate an interception point. Target tracking is based on image processing by a YOLOv3 Tiny convolutional neural network, ... |
2202.13073 | Xin Zhao | Shiyu Hu, Xin Zhao, Lianghua Huang, Kaiqi Huang | Global Instance Tracking: Locating Target More Like Humans | This paper is published in IEEE TPAMI (refer to DOI). Please cite the
published IEEE TPAMI | null | 10.1109/TPAMI.2022.3153312 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Target tracking, the essential ability of the human visual system, has been
simulated by computer vision tasks. However, existing trackers perform well in
austere experimental environments but fail in challenges like occlusion and
fast motion. The massive gap indicates that researches only measure tracking
performanc... | [
{
"created": "Sat, 26 Feb 2022 06:16:34 GMT",
"version": "v1"
}
] | 2022-03-01 | [
[
"Hu",
"Shiyu",
""
],
[
"Zhao",
"Xin",
""
],
[
"Huang",
"Lianghua",
""
],
[
"Huang",
"Kaiqi",
""
]
] | Target tracking, the essential ability of the human visual system, has been simulated by computer vision tasks. However, existing trackers perform well in austere experimental environments but fail in challenges like occlusion and fast motion. The massive gap indicates that researches only measure tracking performance ... |
2404.08856 | Mukul Gagrani | Mukul Gagrani, Raghavv Goel, Wonseok Jeon, Junyoung Park, Mingu Lee,
Christopher Lott | On Speculative Decoding for Multimodal Large Language Models | Accepted as a spotlight paper to ELVM workshop at CVPR 2024 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Inference with Multimodal Large Language Models (MLLMs) is slow due to their
large-language-model backbone which suffers from memory bandwidth bottleneck
and generates tokens auto-regressively. In this paper, we explore the
application of speculative decoding to enhance the inference efficiency of
MLLMs, specifically... | [
{
"created": "Sat, 13 Apr 2024 00:02:36 GMT",
"version": "v1"
}
] | 2024-04-16 | [
[
"Gagrani",
"Mukul",
""
],
[
"Goel",
"Raghavv",
""
],
[
"Jeon",
"Wonseok",
""
],
[
"Park",
"Junyoung",
""
],
[
"Lee",
"Mingu",
""
],
[
"Lott",
"Christopher",
""
]
] | Inference with Multimodal Large Language Models (MLLMs) is slow due to their large-language-model backbone which suffers from memory bandwidth bottleneck and generates tokens auto-regressively. In this paper, we explore the application of speculative decoding to enhance the inference efficiency of MLLMs, specifically t... |
1605.06973 | Zuogong Yue | Zuogon Yue, Johan Thunberg and Jorge Goncalves | Inverse Problems for Matrix Exponential in System Identification: System
Aliasing | 7 pages | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This note addresses identification of the $A$-matrix in continuous time
linear dynamical systems on state-space form. If this matrix is partially known
or known to have a sparse structure, such knowledge can be used to simplify the
identification. We begin by introducing some general conditions for solvability
of the... | [
{
"created": "Mon, 23 May 2016 11:09:22 GMT",
"version": "v1"
}
] | 2016-05-24 | [
[
"Yue",
"Zuogon",
""
],
[
"Thunberg",
"Johan",
""
],
[
"Goncalves",
"Jorge",
""
]
] | This note addresses identification of the $A$-matrix in continuous time linear dynamical systems on state-space form. If this matrix is partially known or known to have a sparse structure, such knowledge can be used to simplify the identification. We begin by introducing some general conditions for solvability of the i... |
2312.10361 | Hai Siong Tan | H. S. Tan, Kuancheng Wang and Rafe Mcbeth | Exploring UMAP in hybrid models of entropy-based and representativeness
sampling for active learning in biomedical segmentation | 25 pages, 6 figures | Computers in Biology and Medicine, vol. 176, June 2024, 108605 | 10.1016/j.compbiomed.2024.108605 | null | cs.CV physics.med-ph | http://creativecommons.org/licenses/by/4.0/ | In this work, we study various hybrid models of entropy-based and
representativeness sampling techniques in the context of active learning in
medical segmentation, in particular examining the role of UMAP (Uniform
Manifold Approximation and Projection) as a technique for capturing
representativeness. Although UMAP ha... | [
{
"created": "Sat, 16 Dec 2023 07:40:09 GMT",
"version": "v1"
},
{
"created": "Mon, 27 May 2024 08:09:54 GMT",
"version": "v2"
}
] | 2024-05-28 | [
[
"Tan",
"H. S.",
""
],
[
"Wang",
"Kuancheng",
""
],
[
"Mcbeth",
"Rafe",
""
]
] | In this work, we study various hybrid models of entropy-based and representativeness sampling techniques in the context of active learning in medical segmentation, in particular examining the role of UMAP (Uniform Manifold Approximation and Projection) as a technique for capturing representativeness. Although UMAP has ... |
2006.06438 | Nasir Ahmad | Nasir Ahmad, Marcel A. J. van Gerven, Luca Ambrogioni | GAIT-prop: A biologically plausible learning rule derived from
backpropagation of error | 13 pages, 4 figures | null | null | null | cs.LG cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional backpropagation of error, though a highly successful algorithm
for learning in artificial neural network models, includes features which are
biologically implausible for learning in real neural circuits. An alternative
called target propagation proposes to solve this implausibility by using a
top-down mod... | [
{
"created": "Thu, 11 Jun 2020 13:52:03 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Jul 2020 08:36:36 GMT",
"version": "v2"
},
{
"created": "Thu, 5 Nov 2020 18:07:34 GMT",
"version": "v3"
}
] | 2020-11-06 | [
[
"Ahmad",
"Nasir",
""
],
[
"van Gerven",
"Marcel A. J.",
""
],
[
"Ambrogioni",
"Luca",
""
]
] | Traditional backpropagation of error, though a highly successful algorithm for learning in artificial neural network models, includes features which are biologically implausible for learning in real neural circuits. An alternative called target propagation proposes to solve this implausibility by using a top-down model... |
2006.04005 | David Mac\^edo | David Mac\^edo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I.
Oliveira, Teresa Ludermir | Entropic Out-of-Distribution Detection: Seamless Detection of Unknown
Examples | Accepted for publication in the IEEE Transactions on Neural Networks
and Learning Systems: Special Issue on Deep Learning for Anomaly Detection | null | 10.1109/TNNLS.2021.3112897 | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we argue that the unsatisfactory out-of-distribution (OOD)
detection performance of neural networks is mainly due to the SoftMax loss
anisotropy and propensity to produce low entropy probability distributions in
disagreement with the principle of maximum entropy. Current out-of-distribution
(OOD) detec... | [
{
"created": "Sun, 7 Jun 2020 00:34:57 GMT",
"version": "v1"
},
{
"created": "Thu, 27 May 2021 03:31:42 GMT",
"version": "v2"
},
{
"created": "Wed, 4 Aug 2021 18:30:05 GMT",
"version": "v3"
}
] | 2021-10-05 | [
[
"Macêdo",
"David",
""
],
[
"Ren",
"Tsang Ing",
""
],
[
"Zanchettin",
"Cleber",
""
],
[
"Oliveira",
"Adriano L. I.",
""
],
[
"Ludermir",
"Teresa",
""
]
] | In this paper, we argue that the unsatisfactory out-of-distribution (OOD) detection performance of neural networks is mainly due to the SoftMax loss anisotropy and propensity to produce low entropy probability distributions in disagreement with the principle of maximum entropy. Current out-of-distribution (OOD) detecti... |
1004.0436 | Zhiqiang Zhang | Zhiqiang Zhang, Yaoyun Shi | On the parity complexity measures of Boolean functions | submitted to TCS on 16-MAR-2009 | null | 10.1016/j.tcs.2010.03.027 | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The parity decision tree model extends the decision tree model by allowing
the computation of a parity function in one step. We prove that the
deterministic parity decision tree complexity of any Boolean function is
polynomially related to the non-deterministic complexity of the function or its
complement. We also sh... | [
{
"created": "Sat, 3 Apr 2010 10:59:30 GMT",
"version": "v1"
}
] | 2010-04-06 | [
[
"Zhang",
"Zhiqiang",
""
],
[
"Shi",
"Yaoyun",
""
]
] | The parity decision tree model extends the decision tree model by allowing the computation of a parity function in one step. We prove that the deterministic parity decision tree complexity of any Boolean function is polynomially related to the non-deterministic complexity of the function or its complement. We also show... |
1905.00331 | Tao Wang | Taiping He, Tao Wang, Ralph Abbey, and Joshua Griffin | High-Performance Support Vector Machines and Its Applications | ICDATA 2018 | null | null | null | cs.LG cs.DC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The support vector machines (SVM) algorithm is a popular classification
technique in data mining and machine learning. In this paper, we propose a
distributed SVM algorithm and demonstrate its use in a number of applications.
The algorithm is named high-performance support vector machines (HPSVM). The
major contribut... | [
{
"created": "Wed, 1 May 2019 14:43:03 GMT",
"version": "v1"
}
] | 2019-05-02 | [
[
"He",
"Taiping",
""
],
[
"Wang",
"Tao",
""
],
[
"Abbey",
"Ralph",
""
],
[
"Griffin",
"Joshua",
""
]
] | The support vector machines (SVM) algorithm is a popular classification technique in data mining and machine learning. In this paper, we propose a distributed SVM algorithm and demonstrate its use in a number of applications. The algorithm is named high-performance support vector machines (HPSVM). The major contributio... |
1203.4754 | Pierre Lescanne | Silvia Ghilezan, Pierre Lescanne (LIP), Dragisa Zunic | Computational interpretation of classical logic with explicit structural
rules | null | null | null | null | cs.LO cs.DC math.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a calculus providing a Curry-Howard correspondence to classical
logic represented in the sequent calculus with explicit structural rules,
namely weakening and contraction. These structural rules introduce explicit
erasure and duplication of terms, respectively. We present a type system for
which we prove t... | [
{
"created": "Wed, 21 Mar 2012 14:53:02 GMT",
"version": "v1"
}
] | 2012-03-23 | [
[
"Ghilezan",
"Silvia",
"",
"LIP"
],
[
"Lescanne",
"Pierre",
"",
"LIP"
],
[
"Zunic",
"Dragisa",
""
]
] | We present a calculus providing a Curry-Howard correspondence to classical logic represented in the sequent calculus with explicit structural rules, namely weakening and contraction. These structural rules introduce explicit erasure and duplication of terms, respectively. We present a type system for which we prove the... |
1102.4118 | EPTCS | Christian von Essen (UJF/Verimag Grenoble, France), Barbara Jobstmann
(CNRS/Verimag Grenoble, France) | Synthesizing Systems with Optimal Average-Case Behavior for Ratio
Objectives | In Proceedings iWIGP 2011, arXiv:1102.3741 | EPTCS 50, 2011, pp. 17-32 | 10.4204/EPTCS.50.2 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show how to automatically construct a system that satisfies a given
logical specification and has an optimal average behavior with respect to a
specification with ratio costs.
When synthesizing a system from a logical specification, it is often the case
that several different systems satisfy the specification. I... | [
{
"created": "Mon, 21 Feb 2011 02:30:32 GMT",
"version": "v1"
}
] | 2011-02-22 | [
[
"von Essen",
"Christian",
"",
"UJF/Verimag Grenoble, France"
],
[
"Jobstmann",
"Barbara",
"",
"CNRS/Verimag Grenoble, France"
]
] | We show how to automatically construct a system that satisfies a given logical specification and has an optimal average behavior with respect to a specification with ratio costs. When synthesizing a system from a logical specification, it is often the case that several different systems satisfy the specification. In th... |
2201.08517 | Wei Wu | Wei Wu, Fuhui Zhou, Baoyun Wang, Qihui Wu, Chao Dong, and Rose
Qingyang Hu | Unmanned Aerial Vehicle Swarm-Enabled Edge Computing: Potentials,
Promising Technologies, and Challenges | 17 pages, 5 figures, to be published in IEEE Wireless Communications
Magazine | null | null | null | cs.NI eess.SP | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Unmanned aerial vehicle (UAV) swarm enabled edge computing is envisioned to
be promising in the sixth generation wireless communication networks due to
their wide application sensories and flexible deployment. However, most of the
existing works focus on edge computing enabled by a single or a small scale
UAVs, which... | [
{
"created": "Fri, 21 Jan 2022 02:43:16 GMT",
"version": "v1"
}
] | 2022-01-24 | [
[
"Wu",
"Wei",
""
],
[
"Zhou",
"Fuhui",
""
],
[
"Wang",
"Baoyun",
""
],
[
"Wu",
"Qihui",
""
],
[
"Dong",
"Chao",
""
],
[
"Hu",
"Rose Qingyang",
""
]
] | Unmanned aerial vehicle (UAV) swarm enabled edge computing is envisioned to be promising in the sixth generation wireless communication networks due to their wide application sensories and flexible deployment. However, most of the existing works focus on edge computing enabled by a single or a small scale UAVs, which a... |
1302.0136 | Dan Stowell | Dan Stowell and Elaine Chew | Maximum a posteriori estimation of piecewise arcs in tempo time-series | Submitted to postprint volume for Computer Music Modeling and
Retrieval (CMMR) 2012 | null | null | null | cs.SD | http://creativecommons.org/licenses/by/3.0/ | In musical performances with expressive tempo modulation, the tempo variation
can be modelled as a sequence of tempo arcs. Previous authors have used this
idea to estimate series of piecewise arc segments from data. In this paper we
describe a probabilistic model for a time-series process of this nature, and
use this... | [
{
"created": "Fri, 1 Feb 2013 10:51:20 GMT",
"version": "v1"
}
] | 2013-02-04 | [
[
"Stowell",
"Dan",
""
],
[
"Chew",
"Elaine",
""
]
] | In musical performances with expressive tempo modulation, the tempo variation can be modelled as a sequence of tempo arcs. Previous authors have used this idea to estimate series of piecewise arc segments from data. In this paper we describe a probabilistic model for a time-series process of this nature, and use this t... |
2404.09730 | Zhengjiang Lin | Daniel Zhengyu Huang, Jiaoyang Huang, Zhengjiang Lin | Convergence Analysis of Probability Flow ODE for Score-based Generative
Models | 37 pages, 7 figures | null | null | null | cs.LG cs.NA math.CA math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Score-based generative models have emerged as a powerful approach for
sampling high-dimensional probability distributions. Despite their
effectiveness, their theoretical underpinnings remain relatively
underdeveloped. In this work, we study the convergence properties of
deterministic samplers based on probability flo... | [
{
"created": "Mon, 15 Apr 2024 12:29:28 GMT",
"version": "v1"
},
{
"created": "Sun, 21 Jul 2024 20:23:07 GMT",
"version": "v2"
}
] | 2024-07-23 | [
[
"Huang",
"Daniel Zhengyu",
""
],
[
"Huang",
"Jiaoyang",
""
],
[
"Lin",
"Zhengjiang",
""
]
] | Score-based generative models have emerged as a powerful approach for sampling high-dimensional probability distributions. Despite their effectiveness, their theoretical underpinnings remain relatively underdeveloped. In this work, we study the convergence properties of deterministic samplers based on probability flow ... |
2204.12729 | Guanhong Wang | Guanhong Wang, Keyu Lu, Yang Zhou, Zhanhao He and Gaoang Wang | Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation
Learning for Action Recognition Pre-Training | This paper has been accepted by ICME 2022 | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Recently, much progress has been made for self-supervised action recognition.
Most existing approaches emphasize the contrastive relations among videos,
including appearance and motion consistency. However, two main issues remain
for existing pre-training methods: 1) the learned representation is neutral and
not info... | [
{
"created": "Wed, 27 Apr 2022 06:51:31 GMT",
"version": "v1"
}
] | 2022-04-28 | [
[
"Wang",
"Guanhong",
""
],
[
"Lu",
"Keyu",
""
],
[
"Zhou",
"Yang",
""
],
[
"He",
"Zhanhao",
""
],
[
"Wang",
"Gaoang",
""
]
] | Recently, much progress has been made for self-supervised action recognition. Most existing approaches emphasize the contrastive relations among videos, including appearance and motion consistency. However, two main issues remain for existing pre-training methods: 1) the learned representation is neutral and not inform... |
1812.05298 | Aidin Ferdowsi | Aidin Ferdowsi, Samad Ali, Walid Saad, Narayan B. Mandayam | Cyber-Physical Security and Safety of Autonomous Connected Vehicles:
Optimal Control Meets Multi-Armed Bandit Learning | 30 pages, 11 figures | null | null | null | cs.SY cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Autonomous connected vehicles (ACVs) rely on intra-vehicle sensors such as
camera and radar as well as inter-vehicle communication to operate effectively.
This reliance on cyber components exposes ACVs to cyber and physical attacks in
which an adversary can manipulate sensor readings and physically take control
of an... | [
{
"created": "Thu, 13 Dec 2018 07:36:56 GMT",
"version": "v1"
}
] | 2018-12-14 | [
[
"Ferdowsi",
"Aidin",
""
],
[
"Ali",
"Samad",
""
],
[
"Saad",
"Walid",
""
],
[
"Mandayam",
"Narayan B.",
""
]
] | Autonomous connected vehicles (ACVs) rely on intra-vehicle sensors such as camera and radar as well as inter-vehicle communication to operate effectively. This reliance on cyber components exposes ACVs to cyber and physical attacks in which an adversary can manipulate sensor readings and physically take control of an A... |
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