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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2101.00395 | Masahiro Toyoura | Siqiang Chen, Masahiro Toyoura, Takamasa Terada, Xiaoyang Mao, Gang Xu | Image-based Textile Decoding | null | Integrated Computer-Aided Engineering, Pre-press, pp. 1-14, 2020 | 10.3233/ICA-200647 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | A textile fabric consists of countless parallel vertical yarns (warps) and
horizontal yarns (wefts). While common looms can weave repetitive patterns,
Jacquard looms can weave the patterns without repetition restrictions. A
pattern in which the warps and wefts cross on a grid is defined in a binary
matrix. The binary... | [
{
"created": "Sat, 2 Jan 2021 07:41:34 GMT",
"version": "v1"
}
] | 2021-01-05 | [
[
"Chen",
"Siqiang",
""
],
[
"Toyoura",
"Masahiro",
""
],
[
"Terada",
"Takamasa",
""
],
[
"Mao",
"Xiaoyang",
""
],
[
"Xu",
"Gang",
""
]
] | A textile fabric consists of countless parallel vertical yarns (warps) and horizontal yarns (wefts). While common looms can weave repetitive patterns, Jacquard looms can weave the patterns without repetition restrictions. A pattern in which the warps and wefts cross on a grid is defined in a binary matrix. The binary m... |
2001.03210 | Porter Jenkins | Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li | A Probabilistic Simulator of Spatial Demand for Product Allocation | 8 pages, The AAAI-20 Workshop on Intelligent Process Automation | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Connecting consumers with relevant products is a very important problem in
both online and offline commerce. In physical retail, product placement is an
effective way to connect consumers with products. However, selecting product
locations within a store can be a tedious process. Moreover, learning important
spatial ... | [
{
"created": "Thu, 9 Jan 2020 20:18:37 GMT",
"version": "v1"
}
] | 2020-01-13 | [
[
"Jenkins",
"Porter",
""
],
[
"Wei",
"Hua",
""
],
[
"Jenkins",
"J. Stockton",
""
],
[
"Li",
"Zhenhui",
""
]
] | Connecting consumers with relevant products is a very important problem in both online and offline commerce. In physical retail, product placement is an effective way to connect consumers with products. However, selecting product locations within a store can be a tedious process. Moreover, learning important spatial pa... |
2204.04694 | Abram Handler | Abram Handler, Narges Mahyar, Brendan O'Connor | ClioQuery: Interactive Query-Oriented Text Analytics for Comprehensive
Investigation of Historical News Archives | Forthcoming in ACM Transactions on Interactive Intelligent Systems
(TiiS) | null | null | null | cs.HC cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Historians and archivists often find and analyze the occurrences of query
words in newspaper archives, to help answer fundamental questions about
society. But much work in text analytics focuses on helping people investigate
other textual units, such as events, clusters, ranked documents, entity
relationships, or the... | [
{
"created": "Sun, 10 Apr 2022 14:21:24 GMT",
"version": "v1"
}
] | 2022-04-12 | [
[
"Handler",
"Abram",
""
],
[
"Mahyar",
"Narges",
""
],
[
"O'Connor",
"Brendan",
""
]
] | Historians and archivists often find and analyze the occurrences of query words in newspaper archives, to help answer fundamental questions about society. But much work in text analytics focuses on helping people investigate other textual units, such as events, clusters, ranked documents, entity relationships, or thema... |
1901.06958 | Istv\'an Ketyk\'o | Istv\'an Ketyk\'o, Ferenc Kov\'acs and Kriszti\'an Zsolt Varga | Domain Adaptation for sEMG-based Gesture Recognition with Recurrent
Neural Networks | Typos corrected | 2019 International Joint Conference on Neural Networks (IJCNN),
Budapest, Hungary, 2019, pp. 1-7 | 10.1109/IJCNN.2019.8852018 | null | cs.LG cs.HC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Surface Electromyography (sEMG/EMG) is to record muscles' electrical activity
from a restricted area of the skin by using electrodes. The sEMG-based gesture
recognition is extremely sensitive of inter-session and inter-subject
variances. We propose a model and a deep-learning-based domain adaptation
method to approxi... | [
{
"created": "Mon, 21 Jan 2019 15:19:01 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Nov 2019 15:51:32 GMT",
"version": "v2"
}
] | 2019-12-02 | [
[
"Ketykó",
"István",
""
],
[
"Kovács",
"Ferenc",
""
],
[
"Varga",
"Krisztián Zsolt",
""
]
] | Surface Electromyography (sEMG/EMG) is to record muscles' electrical activity from a restricted area of the skin by using electrodes. The sEMG-based gesture recognition is extremely sensitive of inter-session and inter-subject variances. We propose a model and a deep-learning-based domain adaptation method to approxima... |
2207.01166 | Zhibo Yang | Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory Zelinsky, Minh Hoai,
Dimitris Samaras | Target-absent Human Attention | Accepted to ECCV2022 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The prediction of human gaze behavior is important for building
human-computer interactive systems that can anticipate a user's attention.
Computer vision models have been developed to predict the fixations made by
people as they search for target objects. But what about when the image has no
target? Equally importan... | [
{
"created": "Mon, 4 Jul 2022 02:32:04 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Aug 2022 01:47:10 GMT",
"version": "v2"
},
{
"created": "Wed, 2 Nov 2022 01:02:51 GMT",
"version": "v3"
}
] | 2022-11-03 | [
[
"Yang",
"Zhibo",
""
],
[
"Mondal",
"Sounak",
""
],
[
"Ahn",
"Seoyoung",
""
],
[
"Zelinsky",
"Gregory",
""
],
[
"Hoai",
"Minh",
""
],
[
"Samaras",
"Dimitris",
""
]
] | The prediction of human gaze behavior is important for building human-computer interactive systems that can anticipate a user's attention. Computer vision models have been developed to predict the fixations made by people as they search for target objects. But what about when the image has no target? Equally important ... |
2405.19094 | Julian Eisenschlos | Syrine Krichene, Francesco Piccinno, Fangyu Liu, Julian Martin
Eisenschlos | Faithful Chart Summarization with ChaTS-Pi | To be published in the proceedings of the 2024 Annual Meeting of the
Association for Computational Linguistics | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Chart-to-summary generation can help explore data, communicate insights, and
help the visually impaired people. Multi-modal generative models have been used
to produce fluent summaries, but they can suffer from factual and perceptual
errors. In this work we present CHATS-CRITIC, a reference-free chart
summarization m... | [
{
"created": "Wed, 29 May 2024 13:55:06 GMT",
"version": "v1"
}
] | 2024-05-30 | [
[
"Krichene",
"Syrine",
""
],
[
"Piccinno",
"Francesco",
""
],
[
"Liu",
"Fangyu",
""
],
[
"Eisenschlos",
"Julian Martin",
""
]
] | Chart-to-summary generation can help explore data, communicate insights, and help the visually impaired people. Multi-modal generative models have been used to produce fluent summaries, but they can suffer from factual and perceptual errors. In this work we present CHATS-CRITIC, a reference-free chart summarization met... |
2402.02053 | Deheng Ye | Yangbin Yu, Qin Zhang, Junyou Li, Qiang Fu, Deheng Ye | Affordable Generative Agents | null | null | null | null | cs.AI cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The emergence of large language models (LLMs) has significantly advanced the
simulation of believable interactive agents. However, the substantial cost on
maintaining the prolonged agent interactions poses challenge over the
deployment of believable LLM-based agents. Therefore, in this paper, we develop
Affordable Ge... | [
{
"created": "Sat, 3 Feb 2024 06:16:28 GMT",
"version": "v1"
}
] | 2024-02-06 | [
[
"Yu",
"Yangbin",
""
],
[
"Zhang",
"Qin",
""
],
[
"Li",
"Junyou",
""
],
[
"Fu",
"Qiang",
""
],
[
"Ye",
"Deheng",
""
]
] | The emergence of large language models (LLMs) has significantly advanced the simulation of believable interactive agents. However, the substantial cost on maintaining the prolonged agent interactions poses challenge over the deployment of believable LLM-based agents. Therefore, in this paper, we develop Affordable Gene... |
2107.06243 | Moniba Keymanesh | Moniba Keymanesh, Tanya Berger-Wolf, Micha Elsner, Srinivasan
Parthasarathy | Fairness-aware Summarization for Justified Decision-Making | 22 pages, 9 figures | null | null | null | cs.AI cs.CL cs.CY | http://creativecommons.org/licenses/by/4.0/ | In consequential domains such as recidivism prediction, facility inspection,
and benefit assignment, it's important for individuals to know the
decision-relevant information for the model's prediction. In addition,
predictions should be fair both in terms of the outcome and the justification
of the outcome. In other ... | [
{
"created": "Tue, 13 Jul 2021 17:04:10 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Feb 2022 21:09:28 GMT",
"version": "v2"
}
] | 2022-02-11 | [
[
"Keymanesh",
"Moniba",
""
],
[
"Berger-Wolf",
"Tanya",
""
],
[
"Elsner",
"Micha",
""
],
[
"Parthasarathy",
"Srinivasan",
""
]
] | In consequential domains such as recidivism prediction, facility inspection, and benefit assignment, it's important for individuals to know the decision-relevant information for the model's prediction. In addition, predictions should be fair both in terms of the outcome and the justification of the outcome. In other wo... |
1807.11086 | Sajedul Talukder | Sajedul Talukder, Shalisha Witherspoon, Kanishk Srivastava, Ryan
Thompson | Mobile Technology in Healthcare Environment: Security Vulnerabilities
and Countermeasures | Technical Report | null | null | null | cs.CR cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile devices and technologies offer a tremendous amount of benefits to
users, although it is also understood that it introduces a set of challenges
when it comes to security, compliance, and risks. More and more healthcare
organizations have been seeking to update their outdated technology, and have
considered the ... | [
{
"created": "Sun, 29 Jul 2018 17:22:24 GMT",
"version": "v1"
}
] | 2018-07-31 | [
[
"Talukder",
"Sajedul",
""
],
[
"Witherspoon",
"Shalisha",
""
],
[
"Srivastava",
"Kanishk",
""
],
[
"Thompson",
"Ryan",
""
]
] | Mobile devices and technologies offer a tremendous amount of benefits to users, although it is also understood that it introduces a set of challenges when it comes to security, compliance, and risks. More and more healthcare organizations have been seeking to update their outdated technology, and have considered the ad... |
1403.0240 | Ivo Sbalzarini | Ivo F. Sbalzarini, Sophie Schneider, Janick Cardinale | Particle methods enable fast and simple approximation of Sobolev
gradients in image segmentation | 21 pages, 10 figures | null | null | null | cs.CV cs.CE cs.NA q-bio.QM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Bio-image analysis is challenging due to inhomogeneous intensity
distributions and high levels of noise in the images. Bayesian inference
provides a principled way for regularizing the problem using prior knowledge. A
fundamental choice is how one measures "distances" between shapes in an image.
It has been shown tha... | [
{
"created": "Sun, 2 Mar 2014 16:58:29 GMT",
"version": "v1"
}
] | 2014-03-04 | [
[
"Sbalzarini",
"Ivo F.",
""
],
[
"Schneider",
"Sophie",
""
],
[
"Cardinale",
"Janick",
""
]
] | Bio-image analysis is challenging due to inhomogeneous intensity distributions and high levels of noise in the images. Bayesian inference provides a principled way for regularizing the problem using prior knowledge. A fundamental choice is how one measures "distances" between shapes in an image. It has been shown that ... |
cs/0612022 | Willemien Visser | Willemien Visser (INRIA Rocquencourt) | Both Generic Design and Different Forms of Designing | null | Dans Wonderground, the 2006 DRS (Design Research Society)
International Conference (2006) | null | null | cs.HC | null | This paper defends an augmented cognitively oriented "generic-design
hypothesis": There are both significant similarities between the design
activities implemented in different situations and crucial differences between
these and other cognitive activities; yet, characteristics of a design
situation (i.e., related to... | [
{
"created": "Mon, 4 Dec 2006 16:28:44 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Visser",
"Willemien",
"",
"INRIA Rocquencourt"
]
] | This paper defends an augmented cognitively oriented "generic-design hypothesis": There are both significant similarities between the design activities implemented in different situations and crucial differences between these and other cognitive activities; yet, characteristics of a design situation (i.e., related to t... |
2012.08419 | Tarasha Khurana | Tarasha Khurana, Achal Dave, Deva Ramanan | Detecting Invisible People | Project page: http://www.cs.cmu.edu/~tkhurana/invisible.htm | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Monocular object detection and tracking have improved drastically in recent
years, but rely on a key assumption: that objects are visible to the camera.
Many offline tracking approaches reason about occluded objects post-hoc, by
linking together tracklets after the object re-appears, making use of
reidentification (R... | [
{
"created": "Tue, 15 Dec 2020 16:54:45 GMT",
"version": "v1"
}
] | 2020-12-16 | [
[
"Khurana",
"Tarasha",
""
],
[
"Dave",
"Achal",
""
],
[
"Ramanan",
"Deva",
""
]
] | Monocular object detection and tracking have improved drastically in recent years, but rely on a key assumption: that objects are visible to the camera. Many offline tracking approaches reason about occluded objects post-hoc, by linking together tracklets after the object re-appears, making use of reidentification (ReI... |
2312.02771 | Thomas Dalgaty Dr | Thomas Dalgaty, Shogo Yamada, Anca Molnos, Eiji Kawasaki, Thomas
Mesquida, Fran\c{c}ois Rummens, Tatsuo Shibata, Yukihiro Urakawa, Yukio
Terasaki, Tomoyuki Sasaki, Marc Duranton | Scaling-up Memristor Monte Carlo with magnetic domain-wall physics | Presented at the 1st workshop on Machine Learning with New Compute
Paradigms (MLNCP) at NeurIPS 2023 (New Orleans, USA) | null | null | null | cs.ET physics.app-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | By exploiting the intrinsic random nature of nanoscale devices, Memristor
Monte Carlo (MMC) is a promising enabler of edge learning systems. However, due
to multiple algorithmic and device-level limitations, existing demonstrations
have been restricted to very small neural network models and datasets. We
discuss thes... | [
{
"created": "Tue, 5 Dec 2023 14:01:28 GMT",
"version": "v1"
}
] | 2023-12-06 | [
[
"Dalgaty",
"Thomas",
""
],
[
"Yamada",
"Shogo",
""
],
[
"Molnos",
"Anca",
""
],
[
"Kawasaki",
"Eiji",
""
],
[
"Mesquida",
"Thomas",
""
],
[
"Rummens",
"François",
""
],
[
"Shibata",
"Tatsuo",
""
],
[
... | By exploiting the intrinsic random nature of nanoscale devices, Memristor Monte Carlo (MMC) is a promising enabler of edge learning systems. However, due to multiple algorithmic and device-level limitations, existing demonstrations have been restricted to very small neural network models and datasets. We discuss these ... |
2206.06780 | Vivek Parmar | Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara
De Salvo, Manan Suri | Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR
Applications | Accepted as a full paper by the TinyML Research Symposium 2023 | null | null | null | cs.AR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Low-Power Edge-AI capabilities are essential for on-device extended reality
(XR) applications to support the vision of Metaverse. In this work, we
investigate two representative XR workloads: (i) Hand detection and (ii) Eye
segmentation, for hardware design space exploration. For both applications, we
train deep neur... | [
{
"created": "Wed, 8 Jun 2022 11:18:02 GMT",
"version": "v1"
},
{
"created": "Fri, 17 Feb 2023 07:13:36 GMT",
"version": "v2"
},
{
"created": "Tue, 28 Mar 2023 07:13:06 GMT",
"version": "v3"
}
] | 2023-03-29 | [
[
"Parmar",
"Vivek",
""
],
[
"Sarwar",
"Syed Shakib",
""
],
[
"Li",
"Ziyun",
""
],
[
"Lee",
"Hsien-Hsin S.",
""
],
[
"De Salvo",
"Barbara",
""
],
[
"Suri",
"Manan",
""
]
] | Low-Power Edge-AI capabilities are essential for on-device extended reality (XR) applications to support the vision of Metaverse. In this work, we investigate two representative XR workloads: (i) Hand detection and (ii) Eye segmentation, for hardware design space exploration. For both applications, we train deep neural... |
2407.01782 | Ali Borji | Ali Borji | Addressing a fundamental limitation in deep vision models: lack of
spatial attention | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | The primary aim of this manuscript is to underscore a significant limitation
in current deep learning models, particularly vision models. Unlike human
vision, which efficiently selects only the essential visual areas for further
processing, leading to high speed and low energy consumption, deep vision
models process ... | [
{
"created": "Mon, 1 Jul 2024 20:21:09 GMT",
"version": "v1"
}
] | 2024-07-03 | [
[
"Borji",
"Ali",
""
]
] | The primary aim of this manuscript is to underscore a significant limitation in current deep learning models, particularly vision models. Unlike human vision, which efficiently selects only the essential visual areas for further processing, leading to high speed and low energy consumption, deep vision models process th... |
2401.12535 | Seungho Lee | Seungho Lee, Seoungyoon Kang, Hyunjung Shim | Self-Supervised Vision Transformers Are Efficient Segmentation Learners
for Imperfect Labels | AAAI2024 Edge Intelligence Workshop (EIW) accepted | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This study demonstrates a cost-effective approach to semantic segmentation
using self-supervised vision transformers (SSVT). By freezing the SSVT backbone
and training a lightweight segmentation head, our approach effectively utilizes
imperfect labels, thereby improving robustness to label imperfections.
Empirical ex... | [
{
"created": "Tue, 23 Jan 2024 07:24:16 GMT",
"version": "v1"
}
] | 2024-01-24 | [
[
"Lee",
"Seungho",
""
],
[
"Kang",
"Seoungyoon",
""
],
[
"Shim",
"Hyunjung",
""
]
] | This study demonstrates a cost-effective approach to semantic segmentation using self-supervised vision transformers (SSVT). By freezing the SSVT backbone and training a lightweight segmentation head, our approach effectively utilizes imperfect labels, thereby improving robustness to label imperfections. Empirical expe... |
1507.00136 | Zhouye Chen | Zhouye Chen, Adrian Basarab, Denis Kouam\'e | Compressive Deconvolution in Medical Ultrasound Imaging | null | null | 10.1109/TMI.2015.2493241 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The interest of compressive sampling in ultrasound imaging has been recently
extensively evaluated by several research teams. Following the different
application setups, it has been shown that the RF data may be reconstructed
from a small number of measurements and/or using a reduced number of ultrasound
pulse emissi... | [
{
"created": "Wed, 1 Jul 2015 07:48:18 GMT",
"version": "v1"
},
{
"created": "Fri, 4 Dec 2015 14:25:44 GMT",
"version": "v2"
}
] | 2015-12-07 | [
[
"Chen",
"Zhouye",
""
],
[
"Basarab",
"Adrian",
""
],
[
"Kouamé",
"Denis",
""
]
] | The interest of compressive sampling in ultrasound imaging has been recently extensively evaluated by several research teams. Following the different application setups, it has been shown that the RF data may be reconstructed from a small number of measurements and/or using a reduced number of ultrasound pulse emission... |
2206.05717 | Juncheng Wang | Juncheng Wang, Junyu Gao, Yuan Yuan, Qi Wang | Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped
Teacher | Accepted by IEEE TIP | null | 10.1109/TIP.2023.3251727 | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Crowd localization is to predict each instance head position in crowd
scenarios. Since the distance of instances being to the camera are variant,
there exists tremendous gaps among scales of instances within an image, which
is called the intrinsic scale shift. The core reason of intrinsic scale shift
being one of the... | [
{
"created": "Sun, 12 Jun 2022 11:07:15 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Feb 2023 10:24:41 GMT",
"version": "v2"
}
] | 2023-03-29 | [
[
"Wang",
"Juncheng",
""
],
[
"Gao",
"Junyu",
""
],
[
"Yuan",
"Yuan",
""
],
[
"Wang",
"Qi",
""
]
] | Crowd localization is to predict each instance head position in crowd scenarios. Since the distance of instances being to the camera are variant, there exists tremendous gaps among scales of instances within an image, which is called the intrinsic scale shift. The core reason of intrinsic scale shift being one of the m... |
1905.04437 | Yiwen Zhang | Yiwen Zhang, Yue Tan, Brent Stephens, and Mosharaf Chowdhury | RDMA Performance Isolation With Justitia | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite its increasing popularity, most of RDMA's benefits such as ultra-low
latency can be achieved only when running an application in isolation. Using
microbenchmarks and real open-source RDMA applications, we identify a series of
performance anomalies when multiple applications coexist and show that such
anomalie... | [
{
"created": "Sat, 11 May 2019 03:38:37 GMT",
"version": "v1"
}
] | 2019-05-14 | [
[
"Zhang",
"Yiwen",
""
],
[
"Tan",
"Yue",
""
],
[
"Stephens",
"Brent",
""
],
[
"Chowdhury",
"Mosharaf",
""
]
] | Despite its increasing popularity, most of RDMA's benefits such as ultra-low latency can be achieved only when running an application in isolation. Using microbenchmarks and real open-source RDMA applications, we identify a series of performance anomalies when multiple applications coexist and show that such anomalies ... |
1901.04626 | Liudmyla Nechepurenko | Liudmyla Nechepurenko, Viktor Voss, and Vyacheslav Gritsenko | Comparing Knowledge-based Reinforcement Learning to Neural Networks in a
Strategy Game | 7 pages, 6 figures | Hybrid Artificial Intelligent Systems. HAIS 2020. Lecture Notes in
Computer Science, vol 12344 | 10.1007/978-3-030-61705-9_26 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper reports on an experiment, in which a Knowledge-Based Reinforcement
Learning (KB-RL) method was compared to a Neural Network (NN) approach in
solving a classical Artificial Intelligence (AI) task. In contrast to NNs,
which require a substantial amount of data to learn a good policy, the KB-RL
method seeks to... | [
{
"created": "Tue, 15 Jan 2019 01:23:38 GMT",
"version": "v1"
},
{
"created": "Fri, 17 Jan 2020 11:01:33 GMT",
"version": "v2"
}
] | 2020-11-11 | [
[
"Nechepurenko",
"Liudmyla",
""
],
[
"Voss",
"Viktor",
""
],
[
"Gritsenko",
"Vyacheslav",
""
]
] | The paper reports on an experiment, in which a Knowledge-Based Reinforcement Learning (KB-RL) method was compared to a Neural Network (NN) approach in solving a classical Artificial Intelligence (AI) task. In contrast to NNs, which require a substantial amount of data to learn a good policy, the KB-RL method seeks to e... |
1604.00990 | Hatem Alismail | Hatem Alismail, Brett Browning, Simon Lucey | Direct Visual Odometry using Bit-Planes | null | null | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Feature descriptors, such as SIFT and ORB, are well-known for their
robustness to illumination changes, which has made them popular for
feature-based VSLAM\@. However, in degraded imaging conditions such as low
light, low texture, blur and specular reflections, feature extraction is often
unreliable. In contrast, dir... | [
{
"created": "Mon, 4 Apr 2016 19:02:45 GMT",
"version": "v1"
}
] | 2016-04-05 | [
[
"Alismail",
"Hatem",
""
],
[
"Browning",
"Brett",
""
],
[
"Lucey",
"Simon",
""
]
] | Feature descriptors, such as SIFT and ORB, are well-known for their robustness to illumination changes, which has made them popular for feature-based VSLAM\@. However, in degraded imaging conditions such as low light, low texture, blur and specular reflections, feature extraction is often unreliable. In contrast, direc... |
2401.13357 | Qi Cai | Qi Cai, Xinrui Li, Yuanxin Wu | Linear Relative Pose Estimation Founded on Pose-only Imaging Geometry | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | How to efficiently and accurately handle image matching outliers is a
critical issue in two-view relative estimation. The prevailing RANSAC method
necessitates that the minimal point pairs be inliers. This paper introduces a
linear relative pose estimation algorithm for n $( n \geq 6$) point pairs,
which is founded o... | [
{
"created": "Wed, 24 Jan 2024 10:35:34 GMT",
"version": "v1"
}
] | 2024-01-25 | [
[
"Cai",
"Qi",
""
],
[
"Li",
"Xinrui",
""
],
[
"Wu",
"Yuanxin",
""
]
] | How to efficiently and accurately handle image matching outliers is a critical issue in two-view relative estimation. The prevailing RANSAC method necessitates that the minimal point pairs be inliers. This paper introduces a linear relative pose estimation algorithm for n $( n \geq 6$) point pairs, which is founded on ... |
2405.15028 | Revanth Reddy | Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar | AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings | null | null | null | null | cs.CL cs.IR | http://creativecommons.org/licenses/by/4.0/ | Ranking is a fundamental and popular problem in search. However, existing
ranking algorithms usually restrict the granularity of ranking to full passages
or require a specific dense index for each desired level of granularity. Such
lack of flexibility in granularity negatively affects many applications that
can benef... | [
{
"created": "Thu, 23 May 2024 20:04:54 GMT",
"version": "v1"
}
] | 2024-05-27 | [
[
"Reddy",
"Revanth Gangi",
""
],
[
"Attia",
"Omar",
""
],
[
"Li",
"Yunyao",
""
],
[
"Ji",
"Heng",
""
],
[
"Potdar",
"Saloni",
""
]
] | Ranking is a fundamental and popular problem in search. However, existing ranking algorithms usually restrict the granularity of ranking to full passages or require a specific dense index for each desired level of granularity. Such lack of flexibility in granularity negatively affects many applications that can benefit... |
1304.6007 | Enoch Peserico | Enoch Peserico | Paging with dynamic memory capacity | null | null | null | null | cs.DS cs.OS cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study a generalization of the classic paging problem that allows the
amount of available memory to vary over time - capturing a fundamental property
of many modern computing realities, from cloud computing to multi-core and
energy-optimized processors. It turns out that good performance in the
"classic" case provi... | [
{
"created": "Mon, 22 Apr 2013 16:23:24 GMT",
"version": "v1"
}
] | 2013-04-23 | [
[
"Peserico",
"Enoch",
""
]
] | We study a generalization of the classic paging problem that allows the amount of available memory to vary over time - capturing a fundamental property of many modern computing realities, from cloud computing to multi-core and energy-optimized processors. It turns out that good performance in the "classic" case provide... |
1910.13849 | Jaber Kakar | Jaber Kakar, Anton Khristoforov, Seyedhamed Ebadifar, Aydin Sezgin | Uplink-Downlink Tradeoff in Secure Distributed Matrix Multiplication | Amazon EC2 results includes now encoding time. Second-Order Encoding
Strategy added | null | null | null | cs.IT cs.CR cs.DC cs.IR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In secure distributed matrix multiplication (SDMM) the multiplication
$\mathbf{A}\mathbf{B}$ from two private matrices $\mathbf{A}$ and $\mathbf{B}$
is outsourced by a user to $N$ distributed servers. In $\ell$-SDMM, the goal is
to a design a joint communication-computation procedure that optimally balances
conflicti... | [
{
"created": "Wed, 30 Oct 2019 13:46:55 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Nov 2019 15:34:14 GMT",
"version": "v2"
},
{
"created": "Mon, 2 Dec 2019 13:22:00 GMT",
"version": "v3"
},
{
"created": "Sat, 2 May 2020 12:45:03 GMT",
"version": "v4"
}
] | 2020-05-05 | [
[
"Kakar",
"Jaber",
""
],
[
"Khristoforov",
"Anton",
""
],
[
"Ebadifar",
"Seyedhamed",
""
],
[
"Sezgin",
"Aydin",
""
]
] | In secure distributed matrix multiplication (SDMM) the multiplication $\mathbf{A}\mathbf{B}$ from two private matrices $\mathbf{A}$ and $\mathbf{B}$ is outsourced by a user to $N$ distributed servers. In $\ell$-SDMM, the goal is to a design a joint communication-computation procedure that optimally balances conflicting... |
2211.09945 | Sawinder Kaur | Sawinder Kaur, Yi Xiao, Asif Salekin | VeriCompress: A Tool to Streamline the Synthesis of Verified Robust
Compressed Neural Networks from Scratch | 9 pages, 5 tables, 2 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | AI's widespread integration has led to neural networks (NNs) deployment on
edge and similar limited-resource platforms for safety-critical scenarios. Yet,
NN's fragility raises concerns about reliable inference. Moreover, constrained
platforms demand compact networks. This study introduces VeriCompress, a tool
that a... | [
{
"created": "Thu, 17 Nov 2022 23:42:10 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Dec 2022 05:45:57 GMT",
"version": "v2"
},
{
"created": "Fri, 27 Jan 2023 18:37:18 GMT",
"version": "v3"
},
{
"created": "Mon, 30 Jan 2023 08:40:26 GMT",
"version": "v4"
},
{
"cr... | 2023-11-22 | [
[
"Kaur",
"Sawinder",
""
],
[
"Xiao",
"Yi",
""
],
[
"Salekin",
"Asif",
""
]
] | AI's widespread integration has led to neural networks (NNs) deployment on edge and similar limited-resource platforms for safety-critical scenarios. Yet, NN's fragility raises concerns about reliable inference. Moreover, constrained platforms demand compact networks. This study introduces VeriCompress, a tool that aut... |
2003.01912 | Ethan Fetaya | Ethan Fetaya, Yonatan Lifshitz, Elad Aaron and Shai Gordin | Restoration of Fragmentary Babylonian Texts Using Recurrent Neural
Networks | null | null | 10.1073/pnas.2003794117 | null | cs.CL cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The main source of information regarding ancient Mesopotamian history and
culture are clay cuneiform tablets. Despite being an invaluable resource, many
tablets are fragmented leading to missing information. Currently these missing
parts are manually completed by experts. In this work we investigate the
possibility o... | [
{
"created": "Wed, 4 Mar 2020 06:36:50 GMT",
"version": "v1"
}
] | 2022-06-08 | [
[
"Fetaya",
"Ethan",
""
],
[
"Lifshitz",
"Yonatan",
""
],
[
"Aaron",
"Elad",
""
],
[
"Gordin",
"Shai",
""
]
] | The main source of information regarding ancient Mesopotamian history and culture are clay cuneiform tablets. Despite being an invaluable resource, many tablets are fragmented leading to missing information. Currently these missing parts are manually completed by experts. In this work we investigate the possibility of ... |
2012.12291 | Kapil Katyal | Kapil Katyal, Yuxiang Gao, Jared Markowitz, Sara Pohland, Corban
Rivera, I-Jeng Wang, Chien-Ming Huang | Learning a Group-Aware Policy for Robot Navigation | 8 pages, 4 figures | null | null | null | cs.RO cs.HC cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human-aware robot navigation promises a range of applications in which mobile
robots bring versatile assistance to people in common human environments. While
prior research has mostly focused on modeling pedestrians as independent,
intentional individuals, people move in groups; consequently, it is imperative
for mob... | [
{
"created": "Tue, 22 Dec 2020 19:04:40 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Nov 2021 21:56:48 GMT",
"version": "v2"
},
{
"created": "Fri, 29 Jul 2022 19:53:12 GMT",
"version": "v3"
}
] | 2022-08-02 | [
[
"Katyal",
"Kapil",
""
],
[
"Gao",
"Yuxiang",
""
],
[
"Markowitz",
"Jared",
""
],
[
"Pohland",
"Sara",
""
],
[
"Rivera",
"Corban",
""
],
[
"Wang",
"I-Jeng",
""
],
[
"Huang",
"Chien-Ming",
""
]
] | Human-aware robot navigation promises a range of applications in which mobile robots bring versatile assistance to people in common human environments. While prior research has mostly focused on modeling pedestrians as independent, intentional individuals, people move in groups; consequently, it is imperative for mobil... |
2208.06631 | Nicolas Kruchten | Nicolas Kruchten, Jon Mease, Dominik Moritz | VegaFusion: Automatic Server-Side Scaling for Interactive Vega
Visualizations | null | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | The Vega grammar has been broadly adopted by a growing ecosystem of
browser-based visualization tools. However, the reference Vega renderer does
not scale well to large datasets (e.g., millions of rows or hundreds of
megabytes) because it requires the entire dataset to be loaded into browser
memory. We introduce Vega... | [
{
"created": "Sat, 13 Aug 2022 11:38:06 GMT",
"version": "v1"
}
] | 2022-08-16 | [
[
"Kruchten",
"Nicolas",
""
],
[
"Mease",
"Jon",
""
],
[
"Moritz",
"Dominik",
""
]
] | The Vega grammar has been broadly adopted by a growing ecosystem of browser-based visualization tools. However, the reference Vega renderer does not scale well to large datasets (e.g., millions of rows or hundreds of megabytes) because it requires the entire dataset to be loaded into browser memory. We introduce VegaFu... |
2007.03181 | Xinyuan Liu | Xinyuan Liu, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Ruixin Liu and Jun
Wang | Bidirectional Loss Function for Label Enhancement and Distribution
Learning | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Label distribution learning (LDL) is an interpretable and general learning
paradigm that has been applied in many real-world applications. In contrast to
the simple logical vector in single-label learning (SLL) and multi-label
learning (MLL), LDL assigns labels with a description degree to each instance.
In practice,... | [
{
"created": "Tue, 7 Jul 2020 03:02:54 GMT",
"version": "v1"
}
] | 2020-07-08 | [
[
"Liu",
"Xinyuan",
""
],
[
"Zhu",
"Jihua",
""
],
[
"Zheng",
"Qinghai",
""
],
[
"Li",
"Zhongyu",
""
],
[
"Liu",
"Ruixin",
""
],
[
"Wang",
"Jun",
""
]
] | Label distribution learning (LDL) is an interpretable and general learning paradigm that has been applied in many real-world applications. In contrast to the simple logical vector in single-label learning (SLL) and multi-label learning (MLL), LDL assigns labels with a description degree to each instance. In practice, t... |
1102.0451 | Boris \v{S}kori\'c | Antonino Simone and Boris Skoric | Asymptotically false-positive-maximizing attack on non-binary Tardos
codes | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We use a method recently introduced by Simone and Skoric to study accusation
probabilities for non-binary Tardos fingerprinting codes. We generalize the
pre-computation steps in this approach to include a broad class of collusion
attack strategies. We analytically derive properties of a special attack that
asymptotic... | [
{
"created": "Wed, 2 Feb 2011 14:49:58 GMT",
"version": "v1"
}
] | 2011-02-03 | [
[
"Simone",
"Antonino",
""
],
[
"Skoric",
"Boris",
""
]
] | We use a method recently introduced by Simone and Skoric to study accusation probabilities for non-binary Tardos fingerprinting codes. We generalize the pre-computation steps in this approach to include a broad class of collusion attack strategies. We analytically derive properties of a special attack that asymptotical... |
1909.07053 | Yuantao Fan | Yuantao Fan and S{\l}awomir Nowaczyk and Thorsteinn R\"ognvaldsson | Transfer learning for Remaining Useful Life Prediction Based on
Consensus Self-Organizing Models | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The traditional paradigm for developing machine prognostics usually relies on
generalization from data acquired in experiments under controlled conditions
prior to deployment of the equipment. Detecting or predicting failures and
estimating machine health in this way assumes that future field data will have
a very si... | [
{
"created": "Mon, 16 Sep 2019 08:31:08 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Sep 2019 02:45:27 GMT",
"version": "v2"
},
{
"created": "Mon, 30 Sep 2019 18:00:37 GMT",
"version": "v3"
}
] | 2019-10-02 | [
[
"Fan",
"Yuantao",
""
],
[
"Nowaczyk",
"Sławomir",
""
],
[
"Rögnvaldsson",
"Thorsteinn",
""
]
] | The traditional paradigm for developing machine prognostics usually relies on generalization from data acquired in experiments under controlled conditions prior to deployment of the equipment. Detecting or predicting failures and estimating machine health in this way assumes that future field data will have a very simi... |
2206.08882 | Rui Song | Rui Song, Anupama Hegde, Numan Senel, Alois Knoll, Andreas Festag | Edge-Aided Sensor Data Sharing in Vehicular Communication Networks | Accepted for IEEE 95th Vehicular Technology Conference
(VTC2022-Spring) | null | null | null | cs.MA cs.CV eess.SP | http://creativecommons.org/licenses/by/4.0/ | Sensor data sharing in vehicular networks can significantly improve the range
and accuracy of environmental perception for connected automated vehicles.
Different concepts and schemes for dissemination and fusion of sensor data have
been developed. It is common to these schemes that measurement errors of the
sensors ... | [
{
"created": "Fri, 17 Jun 2022 16:30:56 GMT",
"version": "v1"
}
] | 2022-06-20 | [
[
"Song",
"Rui",
""
],
[
"Hegde",
"Anupama",
""
],
[
"Senel",
"Numan",
""
],
[
"Knoll",
"Alois",
""
],
[
"Festag",
"Andreas",
""
]
] | Sensor data sharing in vehicular networks can significantly improve the range and accuracy of environmental perception for connected automated vehicles. Different concepts and schemes for dissemination and fusion of sensor data have been developed. It is common to these schemes that measurement errors of the sensors im... |
1804.09321 | Xi Rao | Xi Rao and Zhenxing Ke | Hierarchical RNN for Information Extraction from Lawsuit Documents | IMECS2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Every lawsuit document contains the information about the party's claim,
court's analysis, decision and others, and all of this information are helpful
to understand the case better and predict the judge's decision on similar case
in the future. However, the extraction of these information from the document
is diffic... | [
{
"created": "Wed, 25 Apr 2018 02:18:51 GMT",
"version": "v1"
}
] | 2018-04-26 | [
[
"Rao",
"Xi",
""
],
[
"Ke",
"Zhenxing",
""
]
] | Every lawsuit document contains the information about the party's claim, court's analysis, decision and others, and all of this information are helpful to understand the case better and predict the judge's decision on similar case in the future. However, the extraction of these information from the document is difficul... |
2205.01663 | Daniel M. Ziegler | Daniel M. Ziegler, Seraphina Nix, Lawrence Chan, Tim Bauman, Peter
Schmidt-Nielsen, Tao Lin, Adam Scherlis, Noa Nabeshima, Ben Weinstein-Raun,
Daniel de Haas, Buck Shlegeris, Nate Thomas | Adversarial Training for High-Stakes Reliability | 30 pages, 7 figures, NeurIPS camera-ready | null | null | null | cs.LG cs.AI cs.CL | http://creativecommons.org/licenses/by/4.0/ | In the future, powerful AI systems may be deployed in high-stakes settings,
where a single failure could be catastrophic. One technique for improving AI
safety in high-stakes settings is adversarial training, which uses an adversary
to generate examples to train on in order to achieve better worst-case
performance.
... | [
{
"created": "Tue, 3 May 2022 17:50:06 GMT",
"version": "v1"
},
{
"created": "Wed, 4 May 2022 17:58:20 GMT",
"version": "v2"
},
{
"created": "Thu, 15 Sep 2022 17:36:48 GMT",
"version": "v3"
},
{
"created": "Fri, 7 Oct 2022 01:30:53 GMT",
"version": "v4"
},
{
"crea... | 2022-11-11 | [
[
"Ziegler",
"Daniel M.",
""
],
[
"Nix",
"Seraphina",
""
],
[
"Chan",
"Lawrence",
""
],
[
"Bauman",
"Tim",
""
],
[
"Schmidt-Nielsen",
"Peter",
""
],
[
"Lin",
"Tao",
""
],
[
"Scherlis",
"Adam",
""
],
[
... | In the future, powerful AI systems may be deployed in high-stakes settings, where a single failure could be catastrophic. One technique for improving AI safety in high-stakes settings is adversarial training, which uses an adversary to generate examples to train on in order to achieve better worst-case performance. In ... |
2005.00545 | Ines Chami | Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi and
Christopher R\'e | Low-Dimensional Hyperbolic Knowledge Graph Embeddings | null | null | null | null | cs.LG cs.AI cs.CL stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge graph (KG) embeddings learn low-dimensional representations of
entities and relations to predict missing facts. KGs often exhibit hierarchical
and logical patterns which must be preserved in the embedding space. For
hierarchical data, hyperbolic embedding methods have shown promise for
high-fidelity and par... | [
{
"created": "Fri, 1 May 2020 18:00:02 GMT",
"version": "v1"
}
] | 2020-05-05 | [
[
"Chami",
"Ines",
""
],
[
"Wolf",
"Adva",
""
],
[
"Juan",
"Da-Cheng",
""
],
[
"Sala",
"Frederic",
""
],
[
"Ravi",
"Sujith",
""
],
[
"Ré",
"Christopher",
""
]
] | Knowledge graph (KG) embeddings learn low-dimensional representations of entities and relations to predict missing facts. KGs often exhibit hierarchical and logical patterns which must be preserved in the embedding space. For hierarchical data, hyperbolic embedding methods have shown promise for high-fidelity and parsi... |
2209.11178 | Yilun Xu | Yilun Xu, Ziming Liu, Max Tegmark, Tommi Jaakkola | Poisson Flow Generative Models | Accepted by NeurIPS 2022 | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new "Poisson flow" generative model (PFGM) that maps a uniform
distribution on a high-dimensional hemisphere into any data distribution. We
interpret the data points as electrical charges on the $z=0$ hyperplane in a
space augmented with an additional dimension $z$, generating a high-dimensional
electric... | [
{
"created": "Thu, 22 Sep 2022 17:26:58 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Oct 2022 17:11:46 GMT",
"version": "v2"
},
{
"created": "Fri, 14 Oct 2022 17:49:01 GMT",
"version": "v3"
},
{
"created": "Thu, 20 Oct 2022 00:29:38 GMT",
"version": "v4"
}
] | 2022-10-21 | [
[
"Xu",
"Yilun",
""
],
[
"Liu",
"Ziming",
""
],
[
"Tegmark",
"Max",
""
],
[
"Jaakkola",
"Tommi",
""
]
] | We propose a new "Poisson flow" generative model (PFGM) that maps a uniform distribution on a high-dimensional hemisphere into any data distribution. We interpret the data points as electrical charges on the $z=0$ hyperplane in a space augmented with an additional dimension $z$, generating a high-dimensional electric f... |
1903.08605 | Rui Gao | Rui Gao and Filip Tronarp and Simo S\"arkk\"a | Iterated Extended Kalman Smoother-based Variable Splitting for
$L_1$-Regularized State Estimation | 16 pages, 9 figures | null | 10.1109/TSP.2019.2935868 | null | cs.IT math.IT stat.ME | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a new framework for solving state estimation
problems with an additional sparsity-promoting $L_1$-regularizer term. We first
formulate such problems as minimization of the sum of linear or nonlinear
quadratic error terms and an extra regularizer, and then present novel
algorithms which solve... | [
{
"created": "Wed, 20 Mar 2019 16:38:22 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Jun 2019 11:12:17 GMT",
"version": "v2"
},
{
"created": "Fri, 2 Aug 2019 16:50:05 GMT",
"version": "v3"
}
] | 2019-10-02 | [
[
"Gao",
"Rui",
""
],
[
"Tronarp",
"Filip",
""
],
[
"Särkkä",
"Simo",
""
]
] | In this paper, we propose a new framework for solving state estimation problems with an additional sparsity-promoting $L_1$-regularizer term. We first formulate such problems as minimization of the sum of linear or nonlinear quadratic error terms and an extra regularizer, and then present novel algorithms which solve t... |
1601.01648 | Viorica Sofronie-Stokkermans | Werner Damm and Matthias Horbach and Viorica Sofronie-Stokkermans | Decidability of Verification of Safety Properties of Spatial Families of
Linear Hybrid Automata | 50 pages, AVACS Technical Report No. 111 (SFB/TR 14 AVACS) | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider systems composed of an unbounded number of uniformly designed
linear hybrid automata, whose dynamic behavior is determined by their relation
to neighboring systems. We present a class of such systems and a class of
safety properties whose verification can be reduced to the verification of
(small) families... | [
{
"created": "Thu, 7 Jan 2016 19:48:39 GMT",
"version": "v1"
}
] | 2016-01-08 | [
[
"Damm",
"Werner",
""
],
[
"Horbach",
"Matthias",
""
],
[
"Sofronie-Stokkermans",
"Viorica",
""
]
] | We consider systems composed of an unbounded number of uniformly designed linear hybrid automata, whose dynamic behavior is determined by their relation to neighboring systems. We present a class of such systems and a class of safety properties whose verification can be reduced to the verification of (small) families o... |
1305.0907 | Mostafa Dahshan | Mostafa H. Dahshan | Maximum-Bandwidth Node-Disjoint Paths | null | International Journal of Advanced Computer Science and
Applications - IJACSA, Volume 3, Issue 3, March 2012, pp 48-56 | null | null | cs.NI math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a new method for finding the node-disjoint paths with
maximum combined bandwidth in communication networks. This problem is an
NP-complete problem which can be optimally solved in exponential time using
integer linear programming (ILP). The presented method uses a maximum-cost
variant of Dijkstra ... | [
{
"created": "Sat, 4 May 2013 10:16:51 GMT",
"version": "v1"
}
] | 2013-05-07 | [
[
"Dahshan",
"Mostafa H.",
""
]
] | This paper presents a new method for finding the node-disjoint paths with maximum combined bandwidth in communication networks. This problem is an NP-complete problem which can be optimally solved in exponential time using integer linear programming (ILP). The presented method uses a maximum-cost variant of Dijkstra al... |
2310.00867 | Duc Hoang | Duc N.M Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang
Wang | Do Compressed LLMs Forget Knowledge? An Experimental Study with
Practical Implications | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Compressing Large Language Models (LLMs) often leads to reduced performance,
especially for knowledge-intensive tasks. In this work, we dive into how
compression damages LLMs' inherent knowledge and the possible remedies. We
start by proposing two conjectures on the nature of the damage: one is certain
knowledge bein... | [
{
"created": "Mon, 2 Oct 2023 03:12:06 GMT",
"version": "v1"
},
{
"created": "Sat, 14 Oct 2023 05:12:54 GMT",
"version": "v2"
},
{
"created": "Fri, 16 Feb 2024 18:39:45 GMT",
"version": "v3"
}
] | 2024-02-19 | [
[
"Hoang",
"Duc N. M",
""
],
[
"Cho",
"Minsik",
""
],
[
"Merth",
"Thomas",
""
],
[
"Rastegari",
"Mohammad",
""
],
[
"Wang",
"Zhangyang",
""
]
] | Compressing Large Language Models (LLMs) often leads to reduced performance, especially for knowledge-intensive tasks. In this work, we dive into how compression damages LLMs' inherent knowledge and the possible remedies. We start by proposing two conjectures on the nature of the damage: one is certain knowledge being ... |
1711.06232 | Jia-Hong Huang | Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem | A Novel Framework for Robustness Analysis of Visual QA Models | Accepted by the Thirty-Third AAAI Conference on Artificial
Intelligence, (AAAI-19), as an oral paper | null | null | null | cs.CV cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep neural networks have been playing an essential role in many computer
vision tasks including Visual Question Answering (VQA). Until recently, the
study of their accuracy was the main focus of research but now there is a trend
toward assessing the robustness of these models against adversarial attacks by
evaluatin... | [
{
"created": "Thu, 16 Nov 2017 18:27:49 GMT",
"version": "v1"
},
{
"created": "Sun, 19 Nov 2017 05:47:07 GMT",
"version": "v2"
},
{
"created": "Tue, 25 Dec 2018 04:08:27 GMT",
"version": "v3"
}
] | 2018-12-27 | [
[
"Huang",
"Jia-Hong",
""
],
[
"Dao",
"Cuong Duc",
""
],
[
"Alfadly",
"Modar",
""
],
[
"Ghanem",
"Bernard",
""
]
] | Deep neural networks have been playing an essential role in many computer vision tasks including Visual Question Answering (VQA). Until recently, the study of their accuracy was the main focus of research but now there is a trend toward assessing the robustness of these models against adversarial attacks by evaluating ... |
1603.01080 | Hossein Shokri Ghadikolaei | Federico Boccardi and Hossein Shokri-Ghadikolaei and Gabor Fodor and
Elza Erkip and Carlo Fischione and Marios Kountouris and Petar Popovski and
and Michele Zorzi | Spectrum Pooling in MmWave Networks: Opportunities, Challenges, and
Enablers | null | null | null | null | cs.IT cs.NI cs.SY math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motivated by the intrinsic characteristics of mmWave technologies, we discuss
the possibility of an authorization regime that allows spectrum sharing between
multiple operators, also referred to as spectrum pooling. In particular,
considering user rate as the performance measure, we assess the benefit of
coordination... | [
{
"created": "Thu, 3 Mar 2016 12:59:45 GMT",
"version": "v1"
}
] | 2016-03-04 | [
[
"Boccardi",
"Federico",
""
],
[
"Shokri-Ghadikolaei",
"Hossein",
""
],
[
"Fodor",
"Gabor",
""
],
[
"Erkip",
"Elza",
""
],
[
"Fischione",
"Carlo",
""
],
[
"Kountouris",
"Marios",
""
],
[
"Popovski",
"Petar",
... | Motivated by the intrinsic characteristics of mmWave technologies, we discuss the possibility of an authorization regime that allows spectrum sharing between multiple operators, also referred to as spectrum pooling. In particular, considering user rate as the performance measure, we assess the benefit of coordination a... |
1810.12670 | Ciriaco Andrea D'Angelo | Giovanni Abramo, Ciriaco Andrea D'Angelo | Accounting for gender research performance differences in ranking
universities | null | Abramo, G., D'Angelo, C. A. (2015). Accounting for gender research
performance differences in ranking universities. Current Science, 109(10),
1783-1789 | 10.18520/v109/i10/1783-1789 | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The literature on the theme of gender differences in research performance
indicates a quite evident gap in favor of men over women. Beyond the
understanding of the factors that could be at the basis of this phenomenon, it
is worthwhile understanding if it would be appropriate to conduct the
evaluation per population ... | [
{
"created": "Tue, 30 Oct 2018 11:32:25 GMT",
"version": "v1"
}
] | 2018-10-31 | [
[
"Abramo",
"Giovanni",
""
],
[
"D'Angelo",
"Ciriaco Andrea",
""
]
] | The literature on the theme of gender differences in research performance indicates a quite evident gap in favor of men over women. Beyond the understanding of the factors that could be at the basis of this phenomenon, it is worthwhile understanding if it would be appropriate to conduct the evaluation per population in... |
2302.14453 | Jo\~ao Henrique Inacio de Souza | Jo\~ao Henrique Inacio de Souza, Jos\'e Carlos Marinello Filho, Taufik
Abr\~ao, Cristiano Panazio | Energy Efficiency and Throughput of Random Access Protocols for
RIS-Aided IoT Networks | To appear in Proceedings of the IEEE 8th World Forum on Internet of
Things | null | 10.1109/WF-IoT54382.2022.10152283 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Green Internet of Things (IoT) aims to enable a sustainable smart world by
making energy efficiency (EE) the main performance indicator for IoT hardware
and software. With respect to network design, this implies in developing
energy-efficient communication protocols and network architectures adapted to
the ubiquitous... | [
{
"created": "Tue, 28 Feb 2023 09:58:13 GMT",
"version": "v1"
}
] | 2023-10-12 | [
[
"de Souza",
"João Henrique Inacio",
""
],
[
"Filho",
"José Carlos Marinello",
""
],
[
"Abrão",
"Taufik",
""
],
[
"Panazio",
"Cristiano",
""
]
] | Green Internet of Things (IoT) aims to enable a sustainable smart world by making energy efficiency (EE) the main performance indicator for IoT hardware and software. With respect to network design, this implies in developing energy-efficient communication protocols and network architectures adapted to the ubiquitousne... |
1904.01561 | Kevin Yang | Kevin Yang, Kyle Swanson, Wengong Jin, Connor Coley, Philipp Eiden,
Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea,
Andrew Palmer, Volker Settels, Tommi Jaakkola, Klavs Jensen, Regina Barzilay | Analyzing Learned Molecular Representations for Property Prediction | null | Journal of chemical information and modeling 59.8 (2019):
3370-3388 | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Advancements in neural machinery have led to a wide range of algorithmic
solutions for molecular property prediction. Two classes of models in
particular have yielded promising results: neural networks applied to computed
molecular fingerprints or expert-crafted descriptors, and graph convolutional
neural networks th... | [
{
"created": "Tue, 2 Apr 2019 17:35:27 GMT",
"version": "v1"
},
{
"created": "Tue, 18 Jun 2019 18:13:11 GMT",
"version": "v2"
},
{
"created": "Fri, 12 Jul 2019 23:11:43 GMT",
"version": "v3"
},
{
"created": "Tue, 30 Jul 2019 17:36:39 GMT",
"version": "v4"
},
{
"cr... | 2019-11-22 | [
[
"Yang",
"Kevin",
""
],
[
"Swanson",
"Kyle",
""
],
[
"Jin",
"Wengong",
""
],
[
"Coley",
"Connor",
""
],
[
"Eiden",
"Philipp",
""
],
[
"Gao",
"Hua",
""
],
[
"Guzman-Perez",
"Angel",
""
],
[
"Hopper",
... | Advancements in neural machinery have led to a wide range of algorithmic solutions for molecular property prediction. Two classes of models in particular have yielded promising results: neural networks applied to computed molecular fingerprints or expert-crafted descriptors, and graph convolutional neural networks that... |
1804.02573 | Sankalp Arora | Sankalp Arora, Sanjiban Choudhury and Sebastian Scherer | Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP
Solvers for Multi-resolution Information Gathering | 6 pages, 1 figure | null | null | null | cs.AI | http://creativecommons.org/publicdomain/zero/1.0/ | Partially Observable Markov Decision Processes (POMDPs) offer an elegant
framework to model sequential decision making in uncertain environments.
Solving POMDPs online is an active area of research and given the size of
real-world problems approximate solvers are used. Recently, a few approaches
have been suggested f... | [
{
"created": "Sat, 7 Apr 2018 16:27:33 GMT",
"version": "v1"
}
] | 2018-04-10 | [
[
"Arora",
"Sankalp",
""
],
[
"Choudhury",
"Sanjiban",
""
],
[
"Scherer",
"Sebastian",
""
]
] | Partially Observable Markov Decision Processes (POMDPs) offer an elegant framework to model sequential decision making in uncertain environments. Solving POMDPs online is an active area of research and given the size of real-world problems approximate solvers are used. Recently, a few approaches have been suggested for... |
2107.07662 | EPTCS | Gilles Dowek (Inria and ENS Paris-Saclay) | Interacting Safely with an Unsafe Environment | In Proceedings LFMTP 2021, arXiv:2107.07376 | EPTCS 337, 2021, pp. 30-38 | 10.4204/EPTCS.337.3 | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | We give a presentation of Pure type systems where contexts need not be
well-formed and show that this presentation is equivalent to the usual one. The
main motivation for this presentation is that, when we extend Pure type systems
with computation rules, like in the logical framework Dedukti, we want to
declare the c... | [
{
"created": "Fri, 16 Jul 2021 01:44:04 GMT",
"version": "v1"
}
] | 2021-07-19 | [
[
"Dowek",
"Gilles",
"",
"Inria and ENS Paris-Saclay"
]
] | We give a presentation of Pure type systems where contexts need not be well-formed and show that this presentation is equivalent to the usual one. The main motivation for this presentation is that, when we extend Pure type systems with computation rules, like in the logical framework Dedukti, we want to declare the con... |
2111.12167 | Hanhan Zhou | Hanhan Zhou, Tian Lan, Guru Venkataramani | PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose
Attention Transfer | Short Version with 4 pages | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The virtual try-on system has gained great attention due to its potential to
give customers a realistic, personalized product presentation in virtualized
settings. In this paper, we present PT-VTON, a novel pose-transfer-based
framework for cloth transfer that enables virtual try-on with arbitrary poses.
PT-VTON can ... | [
{
"created": "Tue, 23 Nov 2021 21:51:08 GMT",
"version": "v1"
}
] | 2021-11-25 | [
[
"Zhou",
"Hanhan",
""
],
[
"Lan",
"Tian",
""
],
[
"Venkataramani",
"Guru",
""
]
] | The virtual try-on system has gained great attention due to its potential to give customers a realistic, personalized product presentation in virtualized settings. In this paper, we present PT-VTON, a novel pose-transfer-based framework for cloth transfer that enables virtual try-on with arbitrary poses. PT-VTON can be... |
1804.02792 | Zeyu Chen | Jiaxuan Zhuo, Zeyu Chen, Jianhuang Lai, Guangcong Wang | Occluded Person Re-identification | 6 pages, 7 figures, IEEE International Conference of Multimedia and
Expo 2018 | null | null | null | cs.CV cs.AI cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Person re-identification (re-id) suffers from a serious occlusion problem
when applied to crowded public places. In this paper, we propose to retrieve a
full-body person image by using a person image with occlusions. This differs
significantly from the conventional person re-id problem where it is assumed
that person... | [
{
"created": "Mon, 9 Apr 2018 01:56:53 GMT",
"version": "v1"
},
{
"created": "Sun, 15 Apr 2018 02:00:47 GMT",
"version": "v2"
},
{
"created": "Fri, 20 Apr 2018 14:22:34 GMT",
"version": "v3"
}
] | 2018-04-23 | [
[
"Zhuo",
"Jiaxuan",
""
],
[
"Chen",
"Zeyu",
""
],
[
"Lai",
"Jianhuang",
""
],
[
"Wang",
"Guangcong",
""
]
] | Person re-identification (re-id) suffers from a serious occlusion problem when applied to crowded public places. In this paper, we propose to retrieve a full-body person image by using a person image with occlusions. This differs significantly from the conventional person re-id problem where it is assumed that person i... |
2403.00841 | Jingxiao Chen | Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong yu, Ying Wen | Offline Fictitious Self-Play for Competitive Games | null | null | null | null | cs.MA cs.AI cs.GT cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Offline Reinforcement Learning (RL) has received significant interest due to
its ability to improve policies in previously collected datasets without online
interactions. Despite its success in the single-agent setting, offline
multi-agent RL remains a challenge, especially in competitive games. Firstly,
unaware of t... | [
{
"created": "Thu, 29 Feb 2024 11:36:48 GMT",
"version": "v1"
}
] | 2024-03-05 | [
[
"Chen",
"Jingxiao",
""
],
[
"Xie",
"Weiji",
""
],
[
"Zhang",
"Weinan",
""
],
[
"yu",
"Yong",
""
],
[
"Wen",
"Ying",
""
]
] | Offline Reinforcement Learning (RL) has received significant interest due to its ability to improve policies in previously collected datasets without online interactions. Despite its success in the single-agent setting, offline multi-agent RL remains a challenge, especially in competitive games. Firstly, unaware of the... |
1908.04422 | Rui Chen | Rui Chen, Songfang Han, Jing Xu, Hao Su | Point-Based Multi-View Stereo Network | Accepted as ICCV 2019 oral presentation | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce Point-MVSNet, a novel point-based deep framework for multi-view
stereo (MVS). Distinct from existing cost volume approaches, our method
directly processes the target scene as point clouds. More specifically, our
method predicts the depth in a coarse-to-fine manner. We first generate a
coarse depth map, c... | [
{
"created": "Mon, 12 Aug 2019 22:21:52 GMT",
"version": "v1"
}
] | 2019-08-14 | [
[
"Chen",
"Rui",
""
],
[
"Han",
"Songfang",
""
],
[
"Xu",
"Jing",
""
],
[
"Su",
"Hao",
""
]
] | We introduce Point-MVSNet, a novel point-based deep framework for multi-view stereo (MVS). Distinct from existing cost volume approaches, our method directly processes the target scene as point clouds. More specifically, our method predicts the depth in a coarse-to-fine manner. We first generate a coarse depth map, con... |
2205.02270 | Tian-Sheuan Chang | Kuo-Wei Chang, Tian-Sheuan Chang | VWA: Hardware Efficient Vectorwise Accelerator for Convolutional Neural
Network | 11 pages, 21 figures | in IEEE Transactions on Circuits and Systems I: Regular Papers,
vol. 67, no. 1, pp. 145-154, Jan. 2020 | 10.1109/TCSI.2019.2942529 | null | cs.AR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Hardware accelerators for convolution neural networks (CNNs) enable real-time
applications of artificial intelligence technology. However, most of the
existing designs suffer from low hardware utilization or high area cost due to
complex dataflow. This paper proposes a hardware efficient vectorwise CNN
accelerator th... | [
{
"created": "Mon, 2 May 2022 09:55:58 GMT",
"version": "v1"
}
] | 2022-05-06 | [
[
"Chang",
"Kuo-Wei",
""
],
[
"Chang",
"Tian-Sheuan",
""
]
] | Hardware accelerators for convolution neural networks (CNNs) enable real-time applications of artificial intelligence technology. However, most of the existing designs suffer from low hardware utilization or high area cost due to complex dataflow. This paper proposes a hardware efficient vectorwise CNN accelerator that... |
2302.09584 | Xiangyu Zhou | Xiangyu Zhou, Qianru Wei, Yuhui Zhang | DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target
Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The inevitable feature deviation of synthetic aperture radar (SAR) image due
to the special imaging principle (depression angle variation) leads to poor
recognition accuracy, especially in few-shot learning (FSL). To deal with this
problem, we propose a dense graph prototype network (DGP-Net) to eliminate the
feature... | [
{
"created": "Sun, 19 Feb 2023 14:33:28 GMT",
"version": "v1"
}
] | 2023-02-21 | [
[
"Zhou",
"Xiangyu",
""
],
[
"Wei",
"Qianru",
""
],
[
"Zhang",
"Yuhui",
""
]
] | The inevitable feature deviation of synthetic aperture radar (SAR) image due to the special imaging principle (depression angle variation) leads to poor recognition accuracy, especially in few-shot learning (FSL). To deal with this problem, we propose a dense graph prototype network (DGP-Net) to eliminate the feature d... |
2111.03751 | Peng Gao | Peng Gao, Brian Reily, Rui Guo, Hongsheng Lu, Qingzhao Zhu and Hao
Zhang | Asynchronous Collaborative Localization by Integrating Spatiotemporal
Graph Learning with Model-Based Estimation | null | null | null | null | cs.RO cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Collaborative localization is an essential capability for a team of robots
such as connected vehicles to collaboratively estimate object locations from
multiple perspectives with reliant cooperation. To enable collaborative
localization, four key challenges must be addressed, including modeling complex
relationships ... | [
{
"created": "Fri, 5 Nov 2021 22:48:13 GMT",
"version": "v1"
}
] | 2021-11-09 | [
[
"Gao",
"Peng",
""
],
[
"Reily",
"Brian",
""
],
[
"Guo",
"Rui",
""
],
[
"Lu",
"Hongsheng",
""
],
[
"Zhu",
"Qingzhao",
""
],
[
"Zhang",
"Hao",
""
]
] | Collaborative localization is an essential capability for a team of robots such as connected vehicles to collaboratively estimate object locations from multiple perspectives with reliant cooperation. To enable collaborative localization, four key challenges must be addressed, including modeling complex relationships be... |
2206.03544 | Roman Beliy | Ganit Kupershmidt, Roman Beliy, Guy Gaziv, Michal Irani | A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of
Natural Movies from Brain Activity | null | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Reconstructing natural videos from fMRI brain recordings is very challenging,
for two main reasons: (i) As fMRI data acquisition is difficult, we only have a
limited amount of supervised samples, which is not enough to cover the huge
space of natural videos; and (ii) The temporal resolution of fMRI recordings is
much... | [
{
"created": "Tue, 7 Jun 2022 19:27:22 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Jun 2022 01:16:19 GMT",
"version": "v2"
},
{
"created": "Fri, 10 Jun 2022 22:15:21 GMT",
"version": "v3"
}
] | 2022-06-14 | [
[
"Kupershmidt",
"Ganit",
""
],
[
"Beliy",
"Roman",
""
],
[
"Gaziv",
"Guy",
""
],
[
"Irani",
"Michal",
""
]
] | Reconstructing natural videos from fMRI brain recordings is very challenging, for two main reasons: (i) As fMRI data acquisition is difficult, we only have a limited amount of supervised samples, which is not enough to cover the huge space of natural videos; and (ii) The temporal resolution of fMRI recordings is much l... |
2310.01937 | Ziqi Xu | Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu | Causal Inference with Conditional Front-Door Adjustment and Identifiable
Variational Autoencoder | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An essential and challenging problem in causal inference is causal effect
estimation from observational data. The problem becomes more difficult with the
presence of unobserved confounding variables. The front-door adjustment is a
practical approach for dealing with unobserved confounding variables. However,
the rest... | [
{
"created": "Tue, 3 Oct 2023 10:24:44 GMT",
"version": "v1"
}
] | 2023-10-04 | [
[
"Xu",
"Ziqi",
""
],
[
"Cheng",
"Debo",
""
],
[
"Li",
"Jiuyong",
""
],
[
"Liu",
"Jixue",
""
],
[
"Liu",
"Lin",
""
],
[
"Yu",
"Kui",
""
]
] | An essential and challenging problem in causal inference is causal effect estimation from observational data. The problem becomes more difficult with the presence of unobserved confounding variables. The front-door adjustment is a practical approach for dealing with unobserved confounding variables. However, the restri... |
1511.07480 | Radu Curticapean | Radu Curticapean | Parity Separation: A Scientifically Proven Method for Permanent Weight
Loss | 14 pages | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given an edge-weighted graph G, let PerfMatch(G) denote the weighted sum over
all perfect matchings M in G, weighting each matching M by the product of
weights of edges in M. If G is unweighted, this plainly counts the perfect
matchings of G.
In this paper, we introduce parity separation, a new method for reducing
... | [
{
"created": "Mon, 23 Nov 2015 21:59:00 GMT",
"version": "v1"
}
] | 2015-11-25 | [
[
"Curticapean",
"Radu",
""
]
] | Given an edge-weighted graph G, let PerfMatch(G) denote the weighted sum over all perfect matchings M in G, weighting each matching M by the product of weights of edges in M. If G is unweighted, this plainly counts the perfect matchings of G. In this paper, we introduce parity separation, a new method for reducing Perf... |
2401.17451 | Chen-Feng Liu | Chen-Feng Liu, Nirmal D. Wickramasinghe, Himal A. Suraweera, Mehdi
Bennis, Merouane Debbah | URLLC-Aware Proactive UAV Placement in Internet of Vehicles | Accepted in the IEEE Transactions on Intelligent Transportation
Systems | null | 10.1109/TITS.2024.3352971 | null | cs.NI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unmanned aerial vehicles (UAVs) are envisioned to provide diverse services
from the air. The service quality may rely on the wireless performance which is
affected by the UAV's position. In this paper, we focus on the UAV placement
problem in the Internet of Vehicles, where the UAV is deployed to monitor the
road tra... | [
{
"created": "Tue, 30 Jan 2024 21:28:31 GMT",
"version": "v1"
}
] | 2024-02-01 | [
[
"Liu",
"Chen-Feng",
""
],
[
"Wickramasinghe",
"Nirmal D.",
""
],
[
"Suraweera",
"Himal A.",
""
],
[
"Bennis",
"Mehdi",
""
],
[
"Debbah",
"Merouane",
""
]
] | Unmanned aerial vehicles (UAVs) are envisioned to provide diverse services from the air. The service quality may rely on the wireless performance which is affected by the UAV's position. In this paper, we focus on the UAV placement problem in the Internet of Vehicles, where the UAV is deployed to monitor the road traff... |
2205.06376 | Heinrich van Deventer Mr | Heinrich van Deventer, Pieter Janse van Rensburg, Anna Bosman | KASAM: Spline Additive Models for Function Approximation | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Neural networks have been criticised for their inability to perform continual
learning due to catastrophic forgetting and rapid unlearning of a past concept
when a new concept is introduced. Catastrophic forgetting can be alleviated by
specifically designed models and training techniques. This paper outlines a
novel ... | [
{
"created": "Thu, 12 May 2022 21:50:04 GMT",
"version": "v1"
}
] | 2022-05-16 | [
[
"van Deventer",
"Heinrich",
""
],
[
"van Rensburg",
"Pieter Janse",
""
],
[
"Bosman",
"Anna",
""
]
] | Neural networks have been criticised for their inability to perform continual learning due to catastrophic forgetting and rapid unlearning of a past concept when a new concept is introduced. Catastrophic forgetting can be alleviated by specifically designed models and training techniques. This paper outlines a novel Sp... |
2108.07827 | Tharindu Adikari | Tharindu B. Adikari, Stark C. Draper | Compressing gradients by exploiting temporal correlation in momentum-SGD | This paper was presented in part at the 11th International Symposium
on Topics in Coding (ISTC), Montreal, QC, Canada, August 2021, and the paper
has been accepted for publication in the IEEE Journal on Selected Areas in
Information Theory (JSAIT) Volume 2, Issue 3 (2021),
https://ieeexplore.ieee.org/document/9... | IEEE Journal on Selected Areas in Information Theory (JSAIT)
Volume 2, Issue 3 (2021) | 10.1109/JSAIT.2021.3103494 | null | cs.LG cs.AI cs.DC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | An increasing bottleneck in decentralized optimization is communication.
Bigger models and growing datasets mean that decentralization of computation is
important and that the amount of information exchanged is quickly growing.
While compression techniques have been introduced to cope with the latter, none
has consid... | [
{
"created": "Tue, 17 Aug 2021 18:04:06 GMT",
"version": "v1"
}
] | 2021-08-19 | [
[
"Adikari",
"Tharindu B.",
""
],
[
"Draper",
"Stark C.",
""
]
] | An increasing bottleneck in decentralized optimization is communication. Bigger models and growing datasets mean that decentralization of computation is important and that the amount of information exchanged is quickly growing. While compression techniques have been introduced to cope with the latter, none has consider... |
1812.07613 | Daniel Hernandez Garcia | Pablo G. Esteban, Daniel Hern\'andez Garc\'ia, Hee Rin Lee, Pauline
Chevalier, Paul Baxter, Cindy L. Bethel, Jainendra Shukla, Joan Oliver,
Dom\`enec Puig, Jason R. Wilson, Linda Tickle-Degnen, Madeleine Bartlett,
Tony Belpaeme, Serge Thill, Kim Baraka, Francisco S. Melo, Manuela Veloso,
David Becerra, Maja Mat... | Proceedings of the Workshop on Social Robots in Therapy: Focusing on
Autonomy and Ethical Challenges | 25 pages, editors for the proceedings: Pablo G. Esteban, Daniel
Hern\'andez Garc\'ia, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy
Bethel | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robot-Assisted Therapy (RAT) has successfully been used in HRI research by
including social robots in health-care interventions by virtue of their ability
to engage human users both social and emotional dimensions. Research projects
on this topic exist all over the globe in the USA, Europe, and Asia. All of
these pro... | [
{
"created": "Tue, 18 Dec 2018 19:30:04 GMT",
"version": "v1"
}
] | 2018-12-20 | [
[
"Esteban",
"Pablo G.",
""
],
[
"García",
"Daniel Hernández",
""
],
[
"Lee",
"Hee Rin",
""
],
[
"Chevalier",
"Pauline",
""
],
[
"Baxter",
"Paul",
""
],
[
"Bethel",
"Cindy L.",
""
],
[
"Shukla",
"Jainendra",
... | Robot-Assisted Therapy (RAT) has successfully been used in HRI research by including social robots in health-care interventions by virtue of their ability to engage human users both social and emotional dimensions. Research projects on this topic exist all over the globe in the USA, Europe, and Asia. All of these proje... |
2402.08006 | Laura Santos | Laura Santos, Bernardo Carvalho, Catarina Barata, Jos\'e Santos-Victor | Extending 3D body pose estimation for robotic-assistive therapies of
autistic children | null | null | null | null | cs.RO cs.CV cs.HC | http://creativecommons.org/licenses/by/4.0/ | Robotic-assistive therapy has demonstrated very encouraging results for
children with Autism. Accurate estimation of the child's pose is essential both
for human-robot interaction and for therapy assessment purposes. Non-intrusive
methods are the sole viable option since these children are sensitive to touch.
While... | [
{
"created": "Mon, 12 Feb 2024 19:11:03 GMT",
"version": "v1"
}
] | 2024-02-14 | [
[
"Santos",
"Laura",
""
],
[
"Carvalho",
"Bernardo",
""
],
[
"Barata",
"Catarina",
""
],
[
"Santos-Victor",
"José",
""
]
] | Robotic-assistive therapy has demonstrated very encouraging results for children with Autism. Accurate estimation of the child's pose is essential both for human-robot interaction and for therapy assessment purposes. Non-intrusive methods are the sole viable option since these children are sensitive to touch. While dep... |
2103.12021 | Paria Rashidinejad | Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell | Bridging Offline Reinforcement Learning and Imitation Learning: A Tale
of Pessimism | null | Published at NeurIPS 2021 and IEEE Transactions on Information
Theory | null | null | cs.LG cs.AI math.OC math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Offline (or batch) reinforcement learning (RL) algorithms seek to learn an
optimal policy from a fixed dataset without active data collection. Based on
the composition of the offline dataset, two main categories of methods are
used: imitation learning which is suitable for expert datasets and vanilla
offline RL which... | [
{
"created": "Mon, 22 Mar 2021 17:27:08 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Jul 2023 04:47:42 GMT",
"version": "v2"
}
] | 2023-07-04 | [
[
"Rashidinejad",
"Paria",
""
],
[
"Zhu",
"Banghua",
""
],
[
"Ma",
"Cong",
""
],
[
"Jiao",
"Jiantao",
""
],
[
"Russell",
"Stuart",
""
]
] | Offline (or batch) reinforcement learning (RL) algorithms seek to learn an optimal policy from a fixed dataset without active data collection. Based on the composition of the offline dataset, two main categories of methods are used: imitation learning which is suitable for expert datasets and vanilla offline RL which o... |
2109.02471 | Bencheng Yan | Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian
Xu and Bo Zheng | Binary Code based Hash Embedding for Web-scale Applications | CIKM 2021, 5 pages; The first two authors contributed equally to this
work | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Nowadays, deep learning models are widely adopted in web-scale applications
such as recommender systems, and online advertising. In these applications,
embedding learning of categorical features is crucial to the success of deep
learning models. In these models, a standard method is that each categorical
feature valu... | [
{
"created": "Tue, 24 Aug 2021 11:51:15 GMT",
"version": "v1"
}
] | 2021-09-07 | [
[
"Yan",
"Bencheng",
""
],
[
"Wang",
"Pengjie",
""
],
[
"Liu",
"Jinquan",
""
],
[
"Lin",
"Wei",
""
],
[
"Lee",
"Kuang-Chih",
""
],
[
"Xu",
"Jian",
""
],
[
"Zheng",
"Bo",
""
]
] | Nowadays, deep learning models are widely adopted in web-scale applications such as recommender systems, and online advertising. In these applications, embedding learning of categorical features is crucial to the success of deep learning models. In these models, a standard method is that each categorical feature value ... |
2306.07802 | Abhishek Gupta | Abhishek Gupta and C.M. Markan | Empirical Measurement of Aesthetic Experience of Music | null | null | null | null | cs.HC q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Chills or goosebumps, also called frisson, is a phenomenon that is often
associated with an aesthetic experience e.g., music or some other ecstatic
experience. The temporal and spatial cause of frisson in the brain has been one
of the biggest mysteries of human nature. Accumulating evidence suggests that
aesthetic, n... | [
{
"created": "Tue, 13 Jun 2023 14:24:26 GMT",
"version": "v1"
}
] | 2023-06-14 | [
[
"Gupta",
"Abhishek",
""
],
[
"Markan",
"C. M.",
""
]
] | Chills or goosebumps, also called frisson, is a phenomenon that is often associated with an aesthetic experience e.g., music or some other ecstatic experience. The temporal and spatial cause of frisson in the brain has been one of the biggest mysteries of human nature. Accumulating evidence suggests that aesthetic, nam... |
2207.04507 | Nicole Wein | Aaron Bernstein, Nicole Wein | Closing the Gap Between Directed Hopsets and Shortcut Sets | Abstract shortened to meet arXiv requirements, v2: fixed a typo, v3:
implemented reviewer comments | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For an n-vertex directed graph $G = (V,E)$, a $\beta$-\emph{shortcut set} $H$
is a set of additional edges $H \subseteq V \times V$ such that $G \cup H$ has
the same transitive closure as $G$, and for every pair $u,v \in V$, there is a
$uv$-path in $G \cup H$ with at most $\beta$ edges. A natural generalization of
sh... | [
{
"created": "Sun, 10 Jul 2022 17:14:01 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Jul 2022 14:25:14 GMT",
"version": "v2"
},
{
"created": "Mon, 31 Oct 2022 03:33:15 GMT",
"version": "v3"
},
{
"created": "Mon, 18 Mar 2024 21:53:47 GMT",
"version": "v4"
}
] | 2024-03-20 | [
[
"Bernstein",
"Aaron",
""
],
[
"Wein",
"Nicole",
""
]
] | For an n-vertex directed graph $G = (V,E)$, a $\beta$-\emph{shortcut set} $H$ is a set of additional edges $H \subseteq V \times V$ such that $G \cup H$ has the same transitive closure as $G$, and for every pair $u,v \in V$, there is a $uv$-path in $G \cup H$ with at most $\beta$ edges. A natural generalization of shor... |
2004.11940 | Mattia Zeni Dr. | Mattia Zeni, Ivano Bison, Britta Gauckler, Fernando Reis Fausto
Giunchiglia | Improving time use measurement with personal big data collection -- the
experience of the European Big Data Hackathon 2019 | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article assesses the experience with i-Log at the European Big Data
Hackathon 2019, a satellite event of the New Techniques and Technologies for
Statistics (NTTS) conference, organised by Eurostat. i-Log is a system that
allows to capture personal big data from smartphones' internal sensors to be
used for time u... | [
{
"created": "Fri, 24 Apr 2020 18:40:08 GMT",
"version": "v1"
}
] | 2020-04-28 | [
[
"Zeni",
"Mattia",
""
],
[
"Bison",
"Ivano",
""
],
[
"Gauckler",
"Britta",
""
],
[
"Giunchiglia",
"Fernando Reis Fausto",
""
]
] | This article assesses the experience with i-Log at the European Big Data Hackathon 2019, a satellite event of the New Techniques and Technologies for Statistics (NTTS) conference, organised by Eurostat. i-Log is a system that allows to capture personal big data from smartphones' internal sensors to be used for time use... |
1704.03373 | Yu Liu | Yu Liu, Junjie Yan, Wanli Ouyang | Quality Aware Network for Set to Set Recognition | Accepted at CVPR 2017 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper targets on the problem of set to set recognition, which learns the
metric between two image sets. Images in each set belong to the same identity.
Since images in a set can be complementary, they hopefully lead to higher
accuracy in practical applications. However, the quality of each sample cannot
be guara... | [
{
"created": "Tue, 11 Apr 2017 15:47:41 GMT",
"version": "v1"
}
] | 2017-04-12 | [
[
"Liu",
"Yu",
""
],
[
"Yan",
"Junjie",
""
],
[
"Ouyang",
"Wanli",
""
]
] | This paper targets on the problem of set to set recognition, which learns the metric between two image sets. Images in each set belong to the same identity. Since images in a set can be complementary, they hopefully lead to higher accuracy in practical applications. However, the quality of each sample cannot be guarant... |
2010.11614 | Jos\'e Mar\'ia Mart\'inez-Otzeta | Unai Zabala, Igor Rodriguez, Jos\'e Mar\'ia Mart\'inez-Otzeta, Itziar
Irigoien, Elena Lazkano | Quantitative analysis of robot gesticulation behavior | null | Auton Robot (2021) | 10.1007/s10514-020-09958-1 | null | cs.RO cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Social robot capabilities, such as talking gestures, are best produced using
data driven approaches to avoid being repetitive and to show trustworthiness.
However, there is a lack of robust quantitative methods that allow to compare
such methods beyond visual evaluation. In this paper a quantitative analysis is
perfo... | [
{
"created": "Thu, 22 Oct 2020 11:17:18 GMT",
"version": "v1"
}
] | 2021-01-06 | [
[
"Zabala",
"Unai",
""
],
[
"Rodriguez",
"Igor",
""
],
[
"Martínez-Otzeta",
"José María",
""
],
[
"Irigoien",
"Itziar",
""
],
[
"Lazkano",
"Elena",
""
]
] | Social robot capabilities, such as talking gestures, are best produced using data driven approaches to avoid being repetitive and to show trustworthiness. However, there is a lack of robust quantitative methods that allow to compare such methods beyond visual evaluation. In this paper a quantitative analysis is perform... |
1703.09211 | Dongdong Chen | Dongdong Chen and Jing Liao and Lu Yuan and Nenghai Yu and Gang Hua | Coherent Online Video Style Transfer | Corrected typos | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training a feed-forward network for fast neural style transfer of images is
proven to be successful. However, the naive extension to process video frame by
frame is prone to producing flickering results. We propose the first end-to-end
network for online video style transfer, which generates temporally coherent
styli... | [
{
"created": "Mon, 27 Mar 2017 17:52:55 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Mar 2017 09:04:15 GMT",
"version": "v2"
}
] | 2017-03-29 | [
[
"Chen",
"Dongdong",
""
],
[
"Liao",
"Jing",
""
],
[
"Yuan",
"Lu",
""
],
[
"Yu",
"Nenghai",
""
],
[
"Hua",
"Gang",
""
]
] | Training a feed-forward network for fast neural style transfer of images is proven to be successful. However, the naive extension to process video frame by frame is prone to producing flickering results. We propose the first end-to-end network for online video style transfer, which generates temporally coherent stylize... |
1209.1750 | Daniel Grier | Daniel Grier | Deciding the Winner of an Arbitrary Finite Poset Game is PSPACE-Complete | null | ICALP 2013, Part I, LNCS 7965, 2013, pp 497-503 | 10.1007/978-3-642-39206-1_42 | null | cs.CC cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A poset game is a two-player game played over a partially ordered set (poset)
in which the players alternate choosing an element of the poset, removing it
and all elements greater than it. The first player unable to select an element
of the poset loses. Polynomial time algorithms exist for certain restricted
classes ... | [
{
"created": "Sat, 8 Sep 2012 20:19:26 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Mar 2013 00:17:47 GMT",
"version": "v2"
}
] | 2015-03-20 | [
[
"Grier",
"Daniel",
""
]
] | A poset game is a two-player game played over a partially ordered set (poset) in which the players alternate choosing an element of the poset, removing it and all elements greater than it. The first player unable to select an element of the poset loses. Polynomial time algorithms exist for certain restricted classes of... |
2403.05406 | Muyao Wang | Muyao Wang, Wenchao Chen, Bo Chen | Considering Nonstationary within Multivariate Time Series with
Variational Hierarchical Transformer for Forecasting | accepted by AAAI2024 | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The forecasting of Multivariate Time Series (MTS) has long been an important
but challenging task. Due to the non-stationary problem across long-distance
time steps, previous studies primarily adopt stationarization method to
attenuate the non-stationary problem of the original series for better
predictability. Howev... | [
{
"created": "Fri, 8 Mar 2024 16:04:36 GMT",
"version": "v1"
}
] | 2024-03-11 | [
[
"Wang",
"Muyao",
""
],
[
"Chen",
"Wenchao",
""
],
[
"Chen",
"Bo",
""
]
] | The forecasting of Multivariate Time Series (MTS) has long been an important but challenging task. Due to the non-stationary problem across long-distance time steps, previous studies primarily adopt stationarization method to attenuate the non-stationary problem of the original series for better predictability. However... |
2102.07436 | Anthony Bellotti | Anthony Bellotti | Approximation to Object Conditional Validity with Inductive Conformal
Predictors | 23 pages, 1 figure | null | null | null | cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Conformal predictors are machine learning algorithms that output prediction
sets that have a guarantee of marginal validity for finite samples with minimal
distributional assumptions. This is a property that makes conformal predictors
useful for machine learning tasks where we require reliable predictions. It
would a... | [
{
"created": "Mon, 15 Feb 2021 10:14:44 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Mar 2021 00:05:58 GMT",
"version": "v2"
}
] | 2021-03-03 | [
[
"Bellotti",
"Anthony",
""
]
] | Conformal predictors are machine learning algorithms that output prediction sets that have a guarantee of marginal validity for finite samples with minimal distributional assumptions. This is a property that makes conformal predictors useful for machine learning tasks where we require reliable predictions. It would als... |
2301.13748 | Sebastian Mair | Sebastian Mair and Jens Sj\"olund | Archetypal Analysis++: Rethinking the Initialization Strategy | 27 pages, 17 figures, accepted at the Transactions on Machine
Learning Research | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Archetypal analysis is a matrix factorization method with convexity
constraints. Due to local minima, a good initialization is essential, but
frequently used initialization methods yield either sub-optimal starting points
or are prone to get stuck in poor local minima. In this paper, we propose
archetypal analysis++ ... | [
{
"created": "Tue, 31 Jan 2023 16:33:22 GMT",
"version": "v1"
},
{
"created": "Thu, 25 May 2023 15:29:56 GMT",
"version": "v2"
},
{
"created": "Thu, 22 Feb 2024 22:13:29 GMT",
"version": "v3"
},
{
"created": "Mon, 13 May 2024 14:06:52 GMT",
"version": "v4"
}
] | 2024-05-14 | [
[
"Mair",
"Sebastian",
""
],
[
"Sjölund",
"Jens",
""
]
] | Archetypal analysis is a matrix factorization method with convexity constraints. Due to local minima, a good initialization is essential, but frequently used initialization methods yield either sub-optimal starting points or are prone to get stuck in poor local minima. In this paper, we propose archetypal analysis++ (A... |
0801.1210 | Daniel Lombra\~na Gonz\'alez | Daniel Lombrana Gonzalez, Francisco Fernandez de Vega, L. Trujillo, G.
Olague, F. Chavez de la O, M. Cardenas, L. Araujo, P. Castillo, K. Sharman | Increasing GP Computing Power via Volunteer Computing | First draft, preparing for PPSN 2008 | null | null | null | cs.DC | null | This paper describes how it is possible to increase GP Computing Power via
Volunteer Computing (VC) using the BOINC framework. Two experiments using
well-known GP tools -Lil-gp & ECJ- are performed in order to demonstrate the
benefit of using VC in terms of computing power and speed up. Finally we
present an extensio... | [
{
"created": "Tue, 8 Jan 2008 11:36:35 GMT",
"version": "v1"
}
] | 2008-01-09 | [
[
"Gonzalez",
"Daniel Lombrana",
""
],
[
"de Vega",
"Francisco Fernandez",
""
],
[
"Trujillo",
"L.",
""
],
[
"Olague",
"G.",
""
],
[
"de la O",
"F. Chavez",
""
],
[
"Cardenas",
"M.",
""
],
[
"Araujo",
"L.",
"... | This paper describes how it is possible to increase GP Computing Power via Volunteer Computing (VC) using the BOINC framework. Two experiments using well-known GP tools -Lil-gp & ECJ- are performed in order to demonstrate the benefit of using VC in terms of computing power and speed up. Finally we present an extension ... |
2403.11367 | Peng Jiang | Peng Jiang, Gaurav Pandey and Srikanth Saripalli | 3DGS-ReLoc: 3D Gaussian Splatting for Map Representation and Visual
ReLocalization | 8 pages, 7 figures | null | null | null | cs.CV cs.GR cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a novel system designed for 3D mapping and visual
relocalization using 3D Gaussian Splatting. Our proposed method uses LiDAR and
camera data to create accurate and visually plausible representations of the
environment. By leveraging LiDAR data to initiate the training of the 3D
Gaussian Splatting ... | [
{
"created": "Sun, 17 Mar 2024 23:06:12 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Jiang",
"Peng",
""
],
[
"Pandey",
"Gaurav",
""
],
[
"Saripalli",
"Srikanth",
""
]
] | This paper presents a novel system designed for 3D mapping and visual relocalization using 3D Gaussian Splatting. Our proposed method uses LiDAR and camera data to create accurate and visually plausible representations of the environment. By leveraging LiDAR data to initiate the training of the 3D Gaussian Splatting ma... |
1207.1395 | Vladimir Kolmogorov | Vladimir Kolmogorov, Martin Wainwright | On the optimality of tree-reweighted max-product message-passing | Appears in Proceedings of the Twenty-First Conference on Uncertainty
in Artificial Intelligence (UAI2005) | null | null | UAI-P-2005-PG-316-323 | cs.AI cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Tree-reweighted max-product (TRW) message passing is a modified form of the
ordinary max-product algorithm for attempting to find minimal energy
configurations in Markov random field with cycles. For a TRW fixed point
satisfying the strong tree agreement condition, the algorithm outputs a
configuration that is provab... | [
{
"created": "Wed, 4 Jul 2012 16:16:43 GMT",
"version": "v1"
}
] | 2012-07-09 | [
[
"Kolmogorov",
"Vladimir",
""
],
[
"Wainwright",
"Martin",
""
]
] | Tree-reweighted max-product (TRW) message passing is a modified form of the ordinary max-product algorithm for attempting to find minimal energy configurations in Markov random field with cycles. For a TRW fixed point satisfying the strong tree agreement condition, the algorithm outputs a configuration that is provably... |
2309.03326 | Rehana Mahfuz | Rehana Mahfuz, Yinyi Guo, Arvind Krishna Sridhar, Erik Visser | Detecting False Alarms and Misses in Audio Captions | null | null | null | null | cs.MM | http://creativecommons.org/licenses/by/4.0/ | Metrics to evaluate audio captions simply provide a score without much
explanation regarding what may be wrong in case the score is low. Manual human
intervention is needed to find any shortcomings of the caption. In this work,
we introduce a metric which automatically identifies the shortcomings of an
audio caption ... | [
{
"created": "Wed, 6 Sep 2023 19:17:46 GMT",
"version": "v1"
}
] | 2023-09-08 | [
[
"Mahfuz",
"Rehana",
""
],
[
"Guo",
"Yinyi",
""
],
[
"Sridhar",
"Arvind Krishna",
""
],
[
"Visser",
"Erik",
""
]
] | Metrics to evaluate audio captions simply provide a score without much explanation regarding what may be wrong in case the score is low. Manual human intervention is needed to find any shortcomings of the caption. In this work, we introduce a metric which automatically identifies the shortcomings of an audio caption by... |
cs/0603098 | Siddharth Ray | Siddharth Ray, Muriel Medard and Lizhong Zheng | A SIMO Fiber Aided Wireless Network Architecture | null | null | null | null | cs.IT math.IT | null | The concept of a fiber aided wireless network architecture (FAWNA) is
introduced in [Ray et al., Allerton Conference 2005], which allows high-speed
mobile connectivity by leveraging the speed of optical networks. In this paper,
we consider a single-input, multiple-output (SIMO) FAWNA, which consists of a
SIMO wireles... | [
{
"created": "Sat, 25 Mar 2006 00:46:44 GMT",
"version": "v1"
}
] | 2007-07-13 | [
[
"Ray",
"Siddharth",
""
],
[
"Medard",
"Muriel",
""
],
[
"Zheng",
"Lizhong",
""
]
] | The concept of a fiber aided wireless network architecture (FAWNA) is introduced in [Ray et al., Allerton Conference 2005], which allows high-speed mobile connectivity by leveraging the speed of optical networks. In this paper, we consider a single-input, multiple-output (SIMO) FAWNA, which consists of a SIMO wireless ... |
2305.10985 | Elisa Bassignana | Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, and
Barbara Plank | Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation
Extraction | Accepted at NoDaLiDa 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Most research in Relation Extraction (RE) involves the English language,
mainly due to the lack of multi-lingual resources. We propose Multi-CrossRE,
the broadest multi-lingual dataset for RE, including 26 languages in addition
to English, and covering six text domains. Multi-CrossRE is a machine
translated version o... | [
{
"created": "Thu, 18 May 2023 14:01:33 GMT",
"version": "v1"
}
] | 2023-05-19 | [
[
"Bassignana",
"Elisa",
""
],
[
"Ginter",
"Filip",
""
],
[
"Pyysalo",
"Sampo",
""
],
[
"van der Goot",
"Rob",
""
],
[
"Plank",
"Barbara",
""
]
] | Most research in Relation Extraction (RE) involves the English language, mainly due to the lack of multi-lingual resources. We propose Multi-CrossRE, the broadest multi-lingual dataset for RE, including 26 languages in addition to English, and covering six text domains. Multi-CrossRE is a machine translated version of ... |
2312.03540 | Chi-En Tai | Olivia Markham and Yuhao Chen and Chi-en Amy Tai and Alexander Wong | FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current state-of-the-art image generation models such as Latent Diffusion
Models (LDMs) have demonstrated the capacity to produce visually striking
food-related images. However, these generated images often exhibit an artistic
or surreal quality that diverges from the authenticity of real-world food
representations. ... | [
{
"created": "Wed, 6 Dec 2023 15:07:12 GMT",
"version": "v1"
}
] | 2023-12-07 | [
[
"Markham",
"Olivia",
""
],
[
"Chen",
"Yuhao",
""
],
[
"Tai",
"Chi-en Amy",
""
],
[
"Wong",
"Alexander",
""
]
] | Current state-of-the-art image generation models such as Latent Diffusion Models (LDMs) have demonstrated the capacity to produce visually striking food-related images. However, these generated images often exhibit an artistic or surreal quality that diverges from the authenticity of real-world food representations. Th... |
2403.10569 | Hung Cao | Atah Nuh Mih, Alireza Rahimi, Asfia Kawnine, Francis Palma, Monica
Wachowicz, Rickey Dubay, Hung Cao | Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs
in Resource-Constrained Edge Environment | arXiv admin note: text overlap with arXiv:2401.05355 | null | null | null | cs.LG cs.AI cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This paper proposes an optimization of an existing Deep Neural Network (DNN)
that improves its hardware utilization and facilitates on-device training for
resource-constrained edge environments. We implement efficient parameter
reduction strategies on Xception that shrink the model size without sacrificing
accuracy, ... | [
{
"created": "Thu, 14 Mar 2024 19:40:58 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Mih",
"Atah Nuh",
""
],
[
"Rahimi",
"Alireza",
""
],
[
"Kawnine",
"Asfia",
""
],
[
"Palma",
"Francis",
""
],
[
"Wachowicz",
"Monica",
""
],
[
"Dubay",
"Rickey",
""
],
[
"Cao",
"Hung",
""
]
] | This paper proposes an optimization of an existing Deep Neural Network (DNN) that improves its hardware utilization and facilitates on-device training for resource-constrained edge environments. We implement efficient parameter reduction strategies on Xception that shrink the model size without sacrificing accuracy, th... |
2207.00581 | Mohamad Rida Rammal | Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas
Diggavi, Stefano Soatto | On Leave-One-Out Conditional Mutual Information For Generalization | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We derive information theoretic generalization bounds for supervised learning
algorithms based on a new measure of leave-one-out conditional mutual
information (loo-CMI). Contrary to other CMI bounds, which are black-box bounds
that do not exploit the structure of the problem and may be hard to evaluate in
practice, ... | [
{
"created": "Fri, 1 Jul 2022 17:58:29 GMT",
"version": "v1"
}
] | 2022-07-04 | [
[
"Rammal",
"Mohamad Rida",
""
],
[
"Achille",
"Alessandro",
""
],
[
"Golatkar",
"Aditya",
""
],
[
"Diggavi",
"Suhas",
""
],
[
"Soatto",
"Stefano",
""
]
] | We derive information theoretic generalization bounds for supervised learning algorithms based on a new measure of leave-one-out conditional mutual information (loo-CMI). Contrary to other CMI bounds, which are black-box bounds that do not exploit the structure of the problem and may be hard to evaluate in practice, ou... |
1804.01922 | Fabian Steiner | Fabian Steiner, Georg B\"ocherer, Patrick Schulte | Approaching Waterfilling Capacity of Parallel Channels by Higher Order
Modulation and Probabilistic Amplitude Shaping | Invited paper at CISS 2018, special session "Optimal Communications
with Discrete Input Signals" | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Parallel, additive white Gaussian noise (AWGN) channels with an average sum
power constraint are considered. It is shown how the waterfilling Shannon
capacity can be approached by higher order modulation and probabilistic
amplitude shaping (PAS). This is achieved by a new distribution matching
approach called product... | [
{
"created": "Thu, 5 Apr 2018 15:53:34 GMT",
"version": "v1"
}
] | 2018-04-06 | [
[
"Steiner",
"Fabian",
""
],
[
"Böcherer",
"Georg",
""
],
[
"Schulte",
"Patrick",
""
]
] | Parallel, additive white Gaussian noise (AWGN) channels with an average sum power constraint are considered. It is shown how the waterfilling Shannon capacity can be approached by higher order modulation and probabilistic amplitude shaping (PAS). This is achieved by a new distribution matching approach called product d... |
1812.03444 | Muhammad Marwan Muhammad Fuad | Muhammad Marwan Muhammad Fuad | Applying Nature-Inspired Optimization Algorithms for Selecting Important
Timestamps to Reduce Time Series Dimensionality | 13 pages, Evolving Systems (2017).
https://link.springer.com/article/10.1007/s12530-017-9207-7#citeas | null | 10.1007/s12530-017-9207-7 | null | cs.NE cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time series data account for a major part of data supply available today.
Time series mining handles several tasks such as classification, clustering,
query-by-content, prediction, and others. Performing data mining tasks on raw
time series is inefficient as these data are high-dimensional by nature.
Instead, time se... | [
{
"created": "Sun, 9 Dec 2018 08:26:35 GMT",
"version": "v1"
}
] | 2018-12-11 | [
[
"Fuad",
"Muhammad Marwan Muhammad",
""
]
] | Time series data account for a major part of data supply available today. Time series mining handles several tasks such as classification, clustering, query-by-content, prediction, and others. Performing data mining tasks on raw time series is inefficient as these data are high-dimensional by nature. Instead, time seri... |
0708.0712 | Stephanie Gerbaud | St\'ephanie Gerbaud (IRISA), Nicolas Mollet (IRISA), Bruno Arnaldi
(IRISA) | Virtual Environments for Training: From Individual Learning to
Collaboration with Humanoids | null | Dans Edutainment (2007) | null | null | cs.GR | null | The next generation of virtual environments for training is oriented towards
collaborative aspects. Therefore, we have decided to enhance our platform for
virtual training environments, adding collaboration opportunities and
integrating humanoids. In this paper we put forward a model of humanoid that
suits both virtu... | [
{
"created": "Mon, 6 Aug 2007 07:42:56 GMT",
"version": "v1"
}
] | 2007-08-07 | [
[
"Gerbaud",
"Stéphanie",
"",
"IRISA"
],
[
"Mollet",
"Nicolas",
"",
"IRISA"
],
[
"Arnaldi",
"Bruno",
"",
"IRISA"
]
] | The next generation of virtual environments for training is oriented towards collaborative aspects. Therefore, we have decided to enhance our platform for virtual training environments, adding collaboration opportunities and integrating humanoids. In this paper we put forward a model of humanoid that suits both virtual... |
2103.10213 | Jianhua He | Zheng Huang, Kai Chen, Jianhua He, Xiang Bai, Dimosthenis Karatzas,
Shjian Lu, and C.V. Jawahar | ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction | null | null | 10.1109/ICDAR.2019.00244 | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Scanned receipts OCR and key information extraction (SROIE) represent the
processeses of recognizing text from scanned receipts and extracting key texts
from them and save the extracted tests to structured documents. SROIE plays
critical roles for many document analysis applications and holds great
commercial potenti... | [
{
"created": "Thu, 18 Mar 2021 12:33:41 GMT",
"version": "v1"
}
] | 2021-03-19 | [
[
"Huang",
"Zheng",
""
],
[
"Chen",
"Kai",
""
],
[
"He",
"Jianhua",
""
],
[
"Bai",
"Xiang",
""
],
[
"Karatzas",
"Dimosthenis",
""
],
[
"Lu",
"Shjian",
""
],
[
"Jawahar",
"C. V.",
""
]
] | Scanned receipts OCR and key information extraction (SROIE) represent the processeses of recognizing text from scanned receipts and extracting key texts from them and save the extracted tests to structured documents. SROIE plays critical roles for many document analysis applications and holds great commercial potential... |
2111.04427 | Santiago Andr\'es Azcoitia | Santiago Andr\'es Azcoitia, Costas Iordanou, Nikolaos Laoutaris | What Is the Price of Data? A Measurement Study of Commercial Data
Marketplaces | 13 pages, 13 figures, 7 tables | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A large number of Data Marketplaces (DMs) have appeared in the last few years
to help owners monetise their data, and data buyers fuel their marketing
process, train their ML models, and perform other data-driven decision
processes. In this paper, we present a first of its kind measurement study of
the growing DM eco... | [
{
"created": "Mon, 25 Oct 2021 10:39:47 GMT",
"version": "v1"
}
] | 2021-11-12 | [
[
"Azcoitia",
"Santiago Andrés",
""
],
[
"Iordanou",
"Costas",
""
],
[
"Laoutaris",
"Nikolaos",
""
]
] | A large number of Data Marketplaces (DMs) have appeared in the last few years to help owners monetise their data, and data buyers fuel their marketing process, train their ML models, and perform other data-driven decision processes. In this paper, we present a first of its kind measurement study of the growing DM ecosy... |
1110.1549 | Sunil | Sunil Gavaskar Reddy and Rajendra prasad | Power comparison of CMOS and adiabatic full adder circuit | 11pages | International Journal of VLSI design & Communication Systems
(VLSICS) Vol.2, No.3, September 2011 | 10.5121/vlsic.2011.2306 | null | cs.AR | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Full adders are important components in applications such as digital signal
processors (DSP) architectures and microprocessors. Apart from the basic
addition adders also used in performing useful operations such as subtraction,
multiplication, division, address calculation, etc. In most of these systems
the adder lie... | [
{
"created": "Fri, 7 Oct 2011 14:40:51 GMT",
"version": "v1"
}
] | 2011-10-10 | [
[
"Reddy",
"Sunil Gavaskar",
""
],
[
"prasad",
"Rajendra",
""
]
] | Full adders are important components in applications such as digital signal processors (DSP) architectures and microprocessors. Apart from the basic addition adders also used in performing useful operations such as subtraction, multiplication, division, address calculation, etc. In most of these systems the adder lies ... |
2003.12065 | Wen Liu | Zhaoyang Sun, Wenxuan Liu, Feng Liu, Ryan Wen Liu, Shengwu Xiong | Local Facial Makeup Transfer via Disentangled Representation | There's something wrong with the experiment. It's not complete | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Facial makeup transfer aims to render a non-makeup face image in an arbitrary
given makeup one while preserving face identity. The most advanced method
separates makeup style information from face images to realize makeup transfer.
However, makeup style includes several semantic clear local styles which are
still ent... | [
{
"created": "Fri, 27 Mar 2020 00:25:13 GMT",
"version": "v1"
},
{
"created": "Sun, 21 Jun 2020 01:22:02 GMT",
"version": "v2"
}
] | 2020-06-23 | [
[
"Sun",
"Zhaoyang",
""
],
[
"Liu",
"Wenxuan",
""
],
[
"Liu",
"Feng",
""
],
[
"Liu",
"Ryan Wen",
""
],
[
"Xiong",
"Shengwu",
""
]
] | Facial makeup transfer aims to render a non-makeup face image in an arbitrary given makeup one while preserving face identity. The most advanced method separates makeup style information from face images to realize makeup transfer. However, makeup style includes several semantic clear local styles which are still entan... |
2407.21244 | Hamidreza Kasaei | Hamidreza Kasaei, Mohammadreza Kasaei | VITAL: Visual Teleoperation to Enhance Robot Learning through
Human-in-the-Loop Corrections | null | null | null | null | cs.RO cs.AI cs.CV | http://creativecommons.org/licenses/by/4.0/ | Imitation Learning (IL) has emerged as a powerful approach in robotics,
allowing robots to acquire new skills by mimicking human actions. Despite its
potential, the data collection process for IL remains a significant challenge
due to the logistical difficulties and high costs associated with obtaining
high-quality d... | [
{
"created": "Tue, 30 Jul 2024 23:29:47 GMT",
"version": "v1"
}
] | 2024-08-01 | [
[
"Kasaei",
"Hamidreza",
""
],
[
"Kasaei",
"Mohammadreza",
""
]
] | Imitation Learning (IL) has emerged as a powerful approach in robotics, allowing robots to acquire new skills by mimicking human actions. Despite its potential, the data collection process for IL remains a significant challenge due to the logistical difficulties and high costs associated with obtaining high-quality dem... |
2401.08209 | Leheng Zhang | Leheng Zhang, Yawei Li, Xingyu Zhou, Xiaorui Zhao, Shuhang Gu | Transcending the Limit of Local Window: Advanced Super-Resolution
Transformer with Adaptive Token Dictionary | 15 pages, 9 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Single Image Super-Resolution is a classic computer vision problem that
involves estimating high-resolution (HR) images from low-resolution (LR) ones.
Although deep neural networks (DNNs), especially Transformers for
super-resolution, have seen significant advancements in recent years,
challenges still remain, partic... | [
{
"created": "Tue, 16 Jan 2024 08:50:44 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Jan 2024 07:59:03 GMT",
"version": "v2"
}
] | 2024-01-19 | [
[
"Zhang",
"Leheng",
""
],
[
"Li",
"Yawei",
""
],
[
"Zhou",
"Xingyu",
""
],
[
"Zhao",
"Xiaorui",
""
],
[
"Gu",
"Shuhang",
""
]
] | Single Image Super-Resolution is a classic computer vision problem that involves estimating high-resolution (HR) images from low-resolution (LR) ones. Although deep neural networks (DNNs), especially Transformers for super-resolution, have seen significant advancements in recent years, challenges still remain, particul... |
1206.1282 | Vinod M. Prabhakaran | Vinod M. Prabhakaran and Manoj M. Prabhakaran | Assisted Common Information with an Application to Secure Two-Party
Sampling | 26 pages, 8 figures, to appear in IEEE Transactions on Information
Theory | null | 10.1109/TIT.2014.2316011 | null | cs.IT cs.CR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we generalize the notion of common information of two dependent
variables introduced by G\'acs & K\"orner. They defined common information as
the largest entropy rate of a common random variable two parties observing one
of the sources each can agree upon. It is well-known that their common
information ... | [
{
"created": "Wed, 6 Jun 2012 17:25:57 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Nov 2013 06:36:58 GMT",
"version": "v2"
},
{
"created": "Tue, 25 Mar 2014 06:43:19 GMT",
"version": "v3"
}
] | 2016-11-17 | [
[
"Prabhakaran",
"Vinod M.",
""
],
[
"Prabhakaran",
"Manoj M.",
""
]
] | In this paper we generalize the notion of common information of two dependent variables introduced by G\'acs & K\"orner. They defined common information as the largest entropy rate of a common random variable two parties observing one of the sources each can agree upon. It is well-known that their common information ca... |
2204.09837 | Vaidehi Srinivas | Vaidehi Srinivas, David P. Woodruff, Ziyu Xu, Samson Zhou | Memory Bounds for the Experts Problem | 32 pages, 1 figure, to appear in the 54th ACM Symposium on Theory of
Computing (STOC 2022) | null | null | null | cs.DS cs.LG | http://creativecommons.org/licenses/by/4.0/ | Online learning with expert advice is a fundamental problem of sequential
prediction. In this problem, the algorithm has access to a set of $n$ "experts"
who make predictions on each day. The goal on each day is to process these
predictions, and make a prediction with the minimum cost. After making a
prediction, the ... | [
{
"created": "Thu, 21 Apr 2022 01:22:18 GMT",
"version": "v1"
}
] | 2022-04-22 | [
[
"Srinivas",
"Vaidehi",
""
],
[
"Woodruff",
"David P.",
""
],
[
"Xu",
"Ziyu",
""
],
[
"Zhou",
"Samson",
""
]
] | Online learning with expert advice is a fundamental problem of sequential prediction. In this problem, the algorithm has access to a set of $n$ "experts" who make predictions on each day. The goal on each day is to process these predictions, and make a prediction with the minimum cost. After making a prediction, the al... |
2311.00931 | Kamel Alrashedy | Kamel Alrashedy, Vincent J. Hellendoorn, Alessandro Orso | Learning Defect Prediction from Unrealistic Data | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pretrained models of code, such as CodeBERT and CodeT5, have become popular
choices for code understanding and generation tasks. Such models tend to be
large and require commensurate volumes of training data, which are rarely
available for downstream tasks. Instead, it has become popular to train models
with far larg... | [
{
"created": "Thu, 2 Nov 2023 01:51:43 GMT",
"version": "v1"
},
{
"created": "Sat, 20 Jan 2024 17:05:40 GMT",
"version": "v2"
}
] | 2024-01-23 | [
[
"Alrashedy",
"Kamel",
""
],
[
"Hellendoorn",
"Vincent J.",
""
],
[
"Orso",
"Alessandro",
""
]
] | Pretrained models of code, such as CodeBERT and CodeT5, have become popular choices for code understanding and generation tasks. Such models tend to be large and require commensurate volumes of training data, which are rarely available for downstream tasks. Instead, it has become popular to train models with far larger... |
2310.09466 | Wenyu Jiang | Kaizhi Huang, Wenyu Jiang, Yajun Chen, Liang Jin, Qingqing Wu,
Xiaoling Hu | Robust Anti-jamming Communications with DMA-Based Reconfigurable
Heterogeneous Array | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the future commercial and military communication systems, anti-jamming
remains a critical issue. Existing homogeneous or heterogeneous arrays with a
limited degrees of freedom (DoF) and high consumption are unable to meet the
requirements of communication in rapidly changing and intense jamming
environments. To ad... | [
{
"created": "Sat, 14 Oct 2023 01:52:25 GMT",
"version": "v1"
}
] | 2023-10-17 | [
[
"Huang",
"Kaizhi",
""
],
[
"Jiang",
"Wenyu",
""
],
[
"Chen",
"Yajun",
""
],
[
"Jin",
"Liang",
""
],
[
"Wu",
"Qingqing",
""
],
[
"Hu",
"Xiaoling",
""
]
] | In the future commercial and military communication systems, anti-jamming remains a critical issue. Existing homogeneous or heterogeneous arrays with a limited degrees of freedom (DoF) and high consumption are unable to meet the requirements of communication in rapidly changing and intense jamming environments. To addr... |
2012.03438 | Bingyu Liu | Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng | Selective Pseudo-Labeling with Reinforcement Learning for
Semi-Supervised Domain Adaptation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent domain adaptation methods have demonstrated impressive improvement on
unsupervised domain adaptation problems. However, in the semi-supervised domain
adaptation (SSDA) setting where the target domain has a few labeled instances
available, these methods can fail to improve performance. Inspired by the
effective... | [
{
"created": "Mon, 7 Dec 2020 03:37:38 GMT",
"version": "v1"
}
] | 2020-12-08 | [
[
"Liu",
"Bingyu",
""
],
[
"Guo",
"Yuhong",
""
],
[
"Ye",
"Jieping",
""
],
[
"Deng",
"Weihong",
""
]
] | Recent domain adaptation methods have demonstrated impressive improvement on unsupervised domain adaptation problems. However, in the semi-supervised domain adaptation (SSDA) setting where the target domain has a few labeled instances available, these methods can fail to improve performance. Inspired by the effectivene... |
1807.09915 | Qi Zheng | Chaojian Yu, Xinyi Zhao, Qi Zheng, Peng Zhang, Xinge You | Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition | 16 pages, 3 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Fine-grained visual recognition is challenging because it highly relies on
the modeling of various semantic parts and fine-grained feature learning.
Bilinear pooling based models have been shown to be effective at fine-grained
recognition, while most previous approaches neglect the fact that inter-layer
part feature ... | [
{
"created": "Thu, 26 Jul 2018 01:46:15 GMT",
"version": "v1"
}
] | 2018-07-27 | [
[
"Yu",
"Chaojian",
""
],
[
"Zhao",
"Xinyi",
""
],
[
"Zheng",
"Qi",
""
],
[
"Zhang",
"Peng",
""
],
[
"You",
"Xinge",
""
]
] | Fine-grained visual recognition is challenging because it highly relies on the modeling of various semantic parts and fine-grained feature learning. Bilinear pooling based models have been shown to be effective at fine-grained recognition, while most previous approaches neglect the fact that inter-layer part feature in... |
2201.07321 | Navpreet Kaur | Navpreet Kaur, Jason Hughes, and Juntao Chen | VaxEquity: A Data-Driven Risk Assessment and Optimization Framework for
Equitable Vaccine Distribution | null | null | null | null | cs.CE stat.AP | http://creativecommons.org/licenses/by/4.0/ | With the continuous rise of the COVID-19 cases worldwide, it is imperative to
ensure that all those vulnerable countries lacking vaccine resources can
receive sufficient support to contain the risks. COVAX is such an initiative
operated by the WHO to supply vaccines to the most needed countries. One
critical problem ... | [
{
"created": "Tue, 18 Jan 2022 21:38:12 GMT",
"version": "v1"
}
] | 2022-01-20 | [
[
"Kaur",
"Navpreet",
""
],
[
"Hughes",
"Jason",
""
],
[
"Chen",
"Juntao",
""
]
] | With the continuous rise of the COVID-19 cases worldwide, it is imperative to ensure that all those vulnerable countries lacking vaccine resources can receive sufficient support to contain the risks. COVAX is such an initiative operated by the WHO to supply vaccines to the most needed countries. One critical problem fa... |
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