id stringlengths 9 10 | submitter stringlengths 1 64 ⌀ | authors stringlengths 4 20.7k | title stringlengths 4 246 | comments stringlengths 1 523 ⌀ | journal-ref stringlengths 4 404 ⌀ | doi stringlengths 11 153 ⌀ | report-no stringlengths 2 254 ⌀ | categories stringlengths 5 98 | license stringclasses 9
values | orig_abstract stringlengths 14 3.35k | versions listlengths 1 60 | update_date stringlengths 10 10 | authors_parsed listlengths 1 1.35k | abstract stringlengths 11 3.34k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2109.10617 | Tobias Müller | Tobias M\"uller, Kyrill Schmid, Dani\"elle Schuman, Thomas Gabor,
Markus Friedrich, Marc Geitz | Solving Large Steiner Tree Problems in Graphs for Cost-Efficient
Fiber-To-The-Home Network Expansion | Accepted at ICAART 2022, 10 pages, 18 figures | null | null | null | cs.AI cs.LG cs.NE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The expansion of Fiber-To-The-Home (FTTH) networks creates high costs due to
expensive excavation procedures. Optimizing the planning process and minimizing
the cost of the earth excavation work therefore lead to large savings.
Mathematically, the FTTH network problem can be described as a minimum Steiner
Tree proble... | [
{
"created": "Wed, 22 Sep 2021 09:33:17 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Nov 2021 08:47:25 GMT",
"version": "v2"
}
] | 2021-11-25 | [
[
"Müller",
"Tobias",
""
],
[
"Schmid",
"Kyrill",
""
],
[
"Schuman",
"Daniëlle",
""
],
[
"Gabor",
"Thomas",
""
],
[
"Friedrich",
"Markus",
""
],
[
"Geitz",
"Marc",
""
]
] | The expansion of Fiber-To-The-Home (FTTH) networks creates high costs due to expensive excavation procedures. Optimizing the planning process and minimizing the cost of the earth excavation work therefore lead to large savings. Mathematically, the FTTH network problem can be described as a minimum Steiner Tree problem.... |
2204.04513 | Luca Guarnera | Luca Guarnera (1), Oliver Giudice (2), Matthias Niessner (3),
Sebastiano Battiato (1) ((1) University of Catania, (2) Applied Research
Team, IT dept., Banca d'Italia, Italy, (3) Technical University of Munich,
Germany) | On the Exploitation of Deepfake Model Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite recent advances in Generative Adversarial Networks (GANs), with
special focus to the Deepfake phenomenon there is no a clear understanding
neither in terms of explainability nor of recognition of the involved models.
In particular, the recognition of a specific GAN model that generated the
deepfake image comp... | [
{
"created": "Sat, 9 Apr 2022 16:48:23 GMT",
"version": "v1"
}
] | 2022-04-12 | [
[
"Guarnera",
"Luca",
""
],
[
"Giudice",
"Oliver",
""
],
[
"Niessner",
"Matthias",
""
],
[
"Battiato",
"Sebastiano",
""
]
] | Despite recent advances in Generative Adversarial Networks (GANs), with special focus to the Deepfake phenomenon there is no a clear understanding neither in terms of explainability nor of recognition of the involved models. In particular, the recognition of a specific GAN model that generated the deepfake image compar... |
2001.02557 | Bojie Lv | Bojie Lv, Rui Wang, Ying Cui, Yi Gong, Haisheng Tan | Joint Optimization of File Placement and Delivery in Cache-Assisted
Wireless Networks with Limited Lifetime and Cache Space | submit to IEEE journal | null | 10.1109/TCOMM.2020.2966454 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, the scheduling of downlink file transmission in one cell with
the assistance of cache nodes with finite cache space is studied. Specifically,
requesting users arrive randomly and the base station (BS) reactively
multicasts files to the requesting users and selected cache nodes. The latter
can offload t... | [
{
"created": "Wed, 8 Jan 2020 15:05:53 GMT",
"version": "v1"
}
] | 2020-01-15 | [
[
"Lv",
"Bojie",
""
],
[
"Wang",
"Rui",
""
],
[
"Cui",
"Ying",
""
],
[
"Gong",
"Yi",
""
],
[
"Tan",
"Haisheng",
""
]
] | In this paper, the scheduling of downlink file transmission in one cell with the assistance of cache nodes with finite cache space is studied. Specifically, requesting users arrive randomly and the base station (BS) reactively multicasts files to the requesting users and selected cache nodes. The latter can offload the... |
2112.11546 | Aleksandar S. Dimovski | Aleksandar S. Dimovski | Model Sketching by Abstraction Refinement for Lifted Model Checking
(Extended Version) | 6 pages | null | null | null | cs.LO cs.PL | http://creativecommons.org/licenses/by/4.0/ | In this work, we show how the use of verification and analysis techniques for
model families (software product lines) with numerical features provides an
interesting technique to synthesize complete models from sketches (i.e.\
partial models with holes). In particular, we present an approach for
synthesizing Promela ... | [
{
"created": "Tue, 21 Dec 2021 22:19:36 GMT",
"version": "v1"
}
] | 2021-12-23 | [
[
"Dimovski",
"Aleksandar S.",
""
]
] | In this work, we show how the use of verification and analysis techniques for model families (software product lines) with numerical features provides an interesting technique to synthesize complete models from sketches (i.e.\ partial models with holes). In particular, we present an approach for synthesizing Promela mo... |
2307.10869 | Wenwei Gu | Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su,
Jiazhen Gu, Cong Feng, Zengyin Yang and Michael Lyu | Performance Issue Identification in Cloud Systems with
Relational-Temporal Anomaly Detection | null | null | null | null | cs.LG cs.SE | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Performance issues permeate large-scale cloud service systems, which can lead
to huge revenue losses. To ensure reliable performance, it's essential to
accurately identify and localize these issues using service monitoring metrics.
Given the complexity and scale of modern cloud systems, this task can be
challenging a... | [
{
"created": "Thu, 20 Jul 2023 13:41:26 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Aug 2023 07:04:29 GMT",
"version": "v2"
}
] | 2023-08-02 | [
[
"Gu",
"Wenwei",
""
],
[
"Liu",
"Jinyang",
""
],
[
"Chen",
"Zhuangbin",
""
],
[
"Zhang",
"Jianping",
""
],
[
"Su",
"Yuxin",
""
],
[
"Gu",
"Jiazhen",
""
],
[
"Feng",
"Cong",
""
],
[
"Yang",
"Zengy... | Performance issues permeate large-scale cloud service systems, which can lead to huge revenue losses. To ensure reliable performance, it's essential to accurately identify and localize these issues using service monitoring metrics. Given the complexity and scale of modern cloud systems, this task can be challenging and... |
2003.05656 | Han Wang | Han Wang, Chen Wang and Lihua Xie | Intensity Scan Context: Coding Intensity and Geometry Relations for Loop
Closure Detection | Accepted in International Conference on Robotics and Automation
(ICRA) 2020 | 2020 IEEE International Conference on Robotics and Automation
(ICRA) | 10.1109/ICRA40945.2020.9196764 | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Loop closure detection is an essential and challenging problem in
simultaneous localization and mapping (SLAM). It is often tackled with light
detection and ranging (LiDAR) sensor due to its view-point and illumination
invariant properties. Existing works on 3D loop closure detection often
leverage the matching of lo... | [
{
"created": "Thu, 12 Mar 2020 08:11:09 GMT",
"version": "v1"
}
] | 2020-10-13 | [
[
"Wang",
"Han",
""
],
[
"Wang",
"Chen",
""
],
[
"Xie",
"Lihua",
""
]
] | Loop closure detection is an essential and challenging problem in simultaneous localization and mapping (SLAM). It is often tackled with light detection and ranging (LiDAR) sensor due to its view-point and illumination invariant properties. Existing works on 3D loop closure detection often leverage the matching of loca... |
2011.01682 | Ali Basirat | Shifei Chen and Ali Basirat | Cross-lingual Word Embeddings beyond Zero-shot Machine Translation | Accepted at the 8th Swedish Language Technology Conference
(SLTC-2020) | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We explore the transferability of a multilingual neural machine translation
model to unseen languages when the transfer is grounded solely on the
cross-lingual word embeddings. Our experimental results show that the
translation knowledge can transfer weakly to other languages and that the
degree of transferability de... | [
{
"created": "Tue, 3 Nov 2020 13:18:16 GMT",
"version": "v1"
}
] | 2020-11-04 | [
[
"Chen",
"Shifei",
""
],
[
"Basirat",
"Ali",
""
]
] | We explore the transferability of a multilingual neural machine translation model to unseen languages when the transfer is grounded solely on the cross-lingual word embeddings. Our experimental results show that the translation knowledge can transfer weakly to other languages and that the degree of transferability depe... |
1806.10722 | Allen Nie | Allen Nie, Ashley Zehnder, Rodney L. Page, Arturo L. Pineda, Manuel A.
Rivas, Carlos D. Bustamante, James Zou | DeepTag: inferring all-cause diagnoses from clinical notes in
under-resourced medical domain | 17 pages, 6 figures. Updated the text for clarity | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large scale veterinary clinical records can become a powerful resource for
patient care and research. However, clinicians lack the time and resource to
annotate patient records with standard medical diagnostic codes and most
veterinary visits are captured in free text notes. The lack of standard coding
makes it chall... | [
{
"created": "Thu, 28 Jun 2018 00:45:04 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Sep 2018 18:33:06 GMT",
"version": "v2"
}
] | 2018-09-05 | [
[
"Nie",
"Allen",
""
],
[
"Zehnder",
"Ashley",
""
],
[
"Page",
"Rodney L.",
""
],
[
"Pineda",
"Arturo L.",
""
],
[
"Rivas",
"Manuel A.",
""
],
[
"Bustamante",
"Carlos D.",
""
],
[
"Zou",
"James",
""
]
] | Large scale veterinary clinical records can become a powerful resource for patient care and research. However, clinicians lack the time and resource to annotate patient records with standard medical diagnostic codes and most veterinary visits are captured in free text notes. The lack of standard coding makes it challen... |
1907.09199 | Fengkie Junis | Fengkie Junis, Faisal Malik Widya Prasetya, Farouq Ibrahim Lubay, Anny
Kartika Sari | A Revisit on Blockchain-based Smart Contract Technology | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Blockchain-based smart contract has become a growing field in the blockchain
technology. What was once a technology used to solve digital transaction issues
turns out to have some wider usage, including smart contract. The development
of smart contract can be traced from the numerous platforms facilitating it,
howeve... | [
{
"created": "Mon, 22 Jul 2019 09:35:57 GMT",
"version": "v1"
}
] | 2021-08-23 | [
[
"Junis",
"Fengkie",
""
],
[
"Prasetya",
"Faisal Malik Widya",
""
],
[
"Lubay",
"Farouq Ibrahim",
""
],
[
"Sari",
"Anny Kartika",
""
]
] | Blockchain-based smart contract has become a growing field in the blockchain technology. What was once a technology used to solve digital transaction issues turns out to have some wider usage, including smart contract. The development of smart contract can be traced from the numerous platforms facilitating it, however ... |
2007.00558 | Daniel Berj\'on | Pablo Carballeira, Carlos Carmona, C\'esar D\'iaz, Daniel Berj\'on,
Daniel Corregidor, Juli\'an Cabrera, Francisco Mor\'an, Carmen Doblado,
Sergio Arnaldo, Mar\'ia del Mar Mart\'in, Narciso Garc\'ia | FVV Live: A real-time free-viewpoint video system with consumer
electronics hardware | null | null | 10.1109/TMM.2021.3079711 | null | cs.CV cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | FVV Live is a novel end-to-end free-viewpoint video system, designed for low
cost and real-time operation, based on off-the-shelf components. The system has
been designed to yield high-quality free-viewpoint video using consumer-grade
cameras and hardware, which enables low deployment costs and easy installation
for ... | [
{
"created": "Wed, 1 Jul 2020 15:40:28 GMT",
"version": "v1"
}
] | 2022-08-05 | [
[
"Carballeira",
"Pablo",
""
],
[
"Carmona",
"Carlos",
""
],
[
"Díaz",
"César",
""
],
[
"Berjón",
"Daniel",
""
],
[
"Corregidor",
"Daniel",
""
],
[
"Cabrera",
"Julián",
""
],
[
"Morán",
"Francisco",
""
],
... | FVV Live is a novel end-to-end free-viewpoint video system, designed for low cost and real-time operation, based on off-the-shelf components. The system has been designed to yield high-quality free-viewpoint video using consumer-grade cameras and hardware, which enables low deployment costs and easy installation for im... |
2304.10765 | Huayi Zhou | Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, and Hongtao Lu | BPJDet: Extended Object Representation for Generic Body-Part Joint
Detection | extended journal version of arXiv:2212.07652. Accepted by TPAMI2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Detection of human body and its parts has been intensively studied. However,
most of CNNs-based detectors are trained independently, making it difficult to
associate detected parts with body. In this paper, we focus on the joint
detection of human body and its parts. Specifically, we propose a novel
extended object r... | [
{
"created": "Fri, 21 Apr 2023 06:23:08 GMT",
"version": "v1"
},
{
"created": "Sun, 14 Jan 2024 02:52:37 GMT",
"version": "v2"
}
] | 2024-01-17 | [
[
"Zhou",
"Huayi",
""
],
[
"Jiang",
"Fei",
""
],
[
"Si",
"Jiaxin",
""
],
[
"Ding",
"Yue",
""
],
[
"Lu",
"Hongtao",
""
]
] | Detection of human body and its parts has been intensively studied. However, most of CNNs-based detectors are trained independently, making it difficult to associate detected parts with body. In this paper, we focus on the joint detection of human body and its parts. Specifically, we propose a novel extended object rep... |
2405.04054 | Haonan Zhao | Ivano Bison, Haonan Zhao, Fausto Giunchiglia | What Impacts the Quality of the User Answers when Asked about the
Current Context? | 25 pages, 16 figures, under review by Proceedings of the ACM on
Interactive, Mobile, Wearable and Ubiquitous Technologies | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sensor data provide an objective view of reality but fail to capture the
subjective motivations behind an individual's behavior. This latter information
is crucial for learning about the various dimensions of the personal context,
thus increasing predictability. The main limitation is the human input, which
is often ... | [
{
"created": "Tue, 7 May 2024 06:55:10 GMT",
"version": "v1"
}
] | 2024-05-08 | [
[
"Bison",
"Ivano",
""
],
[
"Zhao",
"Haonan",
""
],
[
"Giunchiglia",
"Fausto",
""
]
] | Sensor data provide an objective view of reality but fail to capture the subjective motivations behind an individual's behavior. This latter information is crucial for learning about the various dimensions of the personal context, thus increasing predictability. The main limitation is the human input, which is often no... |
2312.05278 | JunYu Lu | Junyu Lu, Dixiang Zhang, Songxin Zhang, Zejian Xie, Zhuoyang Song,
Cong Lin, Jiaxing Zhang, Bingyi Jing, Pingjian Zhang | Lyrics: Boosting Fine-grained Language-Vision Alignment and
Comprehension via Semantic-aware Visual Objects | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Large Vision Language Models (LVLMs) have demonstrated impressive zero-shot
capabilities in various vision-language dialogue scenarios. However, the
absence of fine-grained visual object detection hinders the model from
understanding the details of images, leading to irreparable visual
hallucinations and factual erro... | [
{
"created": "Fri, 8 Dec 2023 09:02:45 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Apr 2024 10:26:01 GMT",
"version": "v2"
}
] | 2024-04-15 | [
[
"Lu",
"Junyu",
""
],
[
"Zhang",
"Dixiang",
""
],
[
"Zhang",
"Songxin",
""
],
[
"Xie",
"Zejian",
""
],
[
"Song",
"Zhuoyang",
""
],
[
"Lin",
"Cong",
""
],
[
"Zhang",
"Jiaxing",
""
],
[
"Jing",
"Bi... | Large Vision Language Models (LVLMs) have demonstrated impressive zero-shot capabilities in various vision-language dialogue scenarios. However, the absence of fine-grained visual object detection hinders the model from understanding the details of images, leading to irreparable visual hallucinations and factual errors... |
1708.08755 | Daniel Lopez Martinez | Daniel Lopez-Martinez, Rosalind Picard | Multi-task Neural Networks for Personalized Pain Recognition from
Physiological Signals | 2017 Seventh International Conference on Affective Computing and
Intelligent Interaction Workshops and Demos (ACIIW), 1st Workshop on Tools
and Algorithms for Mental Health and Wellbeing, Pain, and Distress (MHWPD) | null | null | null | cs.CY cs.LG q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pain is a complex and subjective experience that poses a number of
measurement challenges. While self-report by the patient is viewed as the gold
standard of pain assessment, this approach fails when patients cannot verbally
communicate pain intensity or lack normal mental abilities. Here, we present a
pain intensity... | [
{
"created": "Thu, 17 Aug 2017 05:38:56 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Sep 2017 19:23:11 GMT",
"version": "v2"
}
] | 2017-09-06 | [
[
"Lopez-Martinez",
"Daniel",
""
],
[
"Picard",
"Rosalind",
""
]
] | Pain is a complex and subjective experience that poses a number of measurement challenges. While self-report by the patient is viewed as the gold standard of pain assessment, this approach fails when patients cannot verbally communicate pain intensity or lack normal mental abilities. Here, we present a pain intensity m... |
1408.3598 | Cristina Flaut | Cristina Flaut | BCK-algebras arising from block codes | null | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/3.0/ | In this paper, we will provide an algorithm which allows us to find a
BCK-algebra starting from a given block code.
| [
{
"created": "Fri, 15 Aug 2014 17:58:37 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Nov 2014 09:06:57 GMT",
"version": "v2"
},
{
"created": "Thu, 13 Nov 2014 20:13:57 GMT",
"version": "v3"
}
] | 2014-11-14 | [
[
"Flaut",
"Cristina",
""
]
] | In this paper, we will provide an algorithm which allows us to find a BCK-algebra starting from a given block code. |
2112.02891 | Ujjal Kr Dutta | Ujjal Kr Dutta | Seeing Objects in dark with Continual Contrastive Learning | Accepted in European Conference on Computer Vision (ECCV) 2022
Workshops: IWDSC | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/publicdomain/zero/1.0/ | Object Detection, a fundamental computer vision problem, has paramount
importance in smart camera systems. However, a truly reliable camera system
could be achieved if and only if the underlying object detection component is
robust enough across varying imaging conditions (or domains), for instance,
different times o... | [
{
"created": "Mon, 6 Dec 2021 09:28:45 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Mar 2022 18:43:08 GMT",
"version": "v2"
},
{
"created": "Sat, 20 Aug 2022 14:38:36 GMT",
"version": "v3"
}
] | 2022-08-23 | [
[
"Dutta",
"Ujjal Kr",
""
]
] | Object Detection, a fundamental computer vision problem, has paramount importance in smart camera systems. However, a truly reliable camera system could be achieved if and only if the underlying object detection component is robust enough across varying imaging conditions (or domains), for instance, different times of ... |
2403.17158 | Sophie Hao | Kexin Luo, Yue Mao, Bei Zhang, Sophie Hao | Reflecting the Male Gaze: Quantifying Female Objectification in 19th and
20th Century Novels | To appear in LREC-COLING 2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inspired by the concept of the male gaze (Mulvey, 1975) in literature and
media studies, this paper proposes a framework for analyzing gender bias in
terms of female objectification: the extent to which a text portrays female
individuals as objects of visual pleasure. Our framework measures female
objectification alo... | [
{
"created": "Mon, 25 Mar 2024 20:16:14 GMT",
"version": "v1"
}
] | 2024-03-27 | [
[
"Luo",
"Kexin",
""
],
[
"Mao",
"Yue",
""
],
[
"Zhang",
"Bei",
""
],
[
"Hao",
"Sophie",
""
]
] | Inspired by the concept of the male gaze (Mulvey, 1975) in literature and media studies, this paper proposes a framework for analyzing gender bias in terms of female objectification: the extent to which a text portrays female individuals as objects of visual pleasure. Our framework measures female objectification along... |
0907.4531 | Zhaohua Luo | Zhaohua Luo | Clone Theory and Algebraic Logic | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The concept of a clone is central to many branches of mathematics, such as
universal algebra, algebraic logic, and lambda calculus. Abstractly a clone is
a category with two objects such that one is a countably infinite power of the
other. Left and right algebras over a clone are covariant and contravariant
functors ... | [
{
"created": "Mon, 27 Jul 2009 17:36:16 GMT",
"version": "v1"
}
] | 2009-07-28 | [
[
"Luo",
"Zhaohua",
""
]
] | The concept of a clone is central to many branches of mathematics, such as universal algebra, algebraic logic, and lambda calculus. Abstractly a clone is a category with two objects such that one is a countably infinite power of the other. Left and right algebras over a clone are covariant and contravariant functors fr... |
1706.03907 | Brendan Ruff | Brendan Ruff | Deep Control - a simple automatic gain control for memory efficient and
high performance training of deep convolutional neural networks | Submitted to BMVC 2017 on 2nd May 2017 | null | null | Subject of patent application GB1619779.0 23-Nov-2016 | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training a deep convolutional neural net typically starts with a random
initialisation of all filters in all layers which severely reduces the forward
signal and back-propagated error and leads to slow and sub-optimal training.
Techniques that counter that focus on either increasing the signal or
increasing the gradi... | [
{
"created": "Tue, 13 Jun 2017 05:29:05 GMT",
"version": "v1"
}
] | 2017-06-14 | [
[
"Ruff",
"Brendan",
""
]
] | Training a deep convolutional neural net typically starts with a random initialisation of all filters in all layers which severely reduces the forward signal and back-propagated error and leads to slow and sub-optimal training. Techniques that counter that focus on either increasing the signal or increasing the gradien... |
2107.07578 | Mann Patel | Mann Patel | Real-Time Violence Detection Using CNN-LSTM | 5 pages, 9 figures | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Violence rates however have been brought down about 57% during the span of
the past 4 decades yet it doesn't change the way that the demonstration of
violence actually happens, unseen by the law. Violence can be mass controlled
sometimes by higher authorities, however, to hold everything in line one must
"Microgovern... | [
{
"created": "Thu, 15 Jul 2021 19:37:41 GMT",
"version": "v1"
}
] | 2021-07-19 | [
[
"Patel",
"Mann",
""
]
] | Violence rates however have been brought down about 57% during the span of the past 4 decades yet it doesn't change the way that the demonstration of violence actually happens, unseen by the law. Violence can be mass controlled sometimes by higher authorities, however, to hold everything in line one must "Microgovern" ... |
1312.2094 | Rui Guo Mr. | Rui Guo, Hongzhi Wang, Mengwen Chen, Jianzhong Li, Hong Gao | Parallelization in Extracting Fresh Information from Online Social
Network | submitted to Knowledge-Based System | null | null | null | cs.SI | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Online Social Network (OSN) is one of the most hottest services in the past
years. It preserves the life of users and provides great potential for
journalists, sociologists and business analysts. Crawling data from social
network is a basic step for social network information analysis and processing.
As the network b... | [
{
"created": "Sat, 7 Dec 2013 13:32:39 GMT",
"version": "v1"
}
] | 2013-12-10 | [
[
"Guo",
"Rui",
""
],
[
"Wang",
"Hongzhi",
""
],
[
"Chen",
"Mengwen",
""
],
[
"Li",
"Jianzhong",
""
],
[
"Gao",
"Hong",
""
]
] | Online Social Network (OSN) is one of the most hottest services in the past years. It preserves the life of users and provides great potential for journalists, sociologists and business analysts. Crawling data from social network is a basic step for social network information analysis and processing. As the network bec... |
1511.05499 | Malek Messai | Malek Messai, Amina Piemontese, Giulio Colavolpe, Karine Amis,
Frederic Guilloud | Binary CPMs with Improved Spectral Efficiency | This paper is accepted to be published as an IEEE Communication
Letter | null | 10.1109/LCOMM.2015.2502247 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We design new continuous phase modulation (CPM) formats which are based on
the combination of a proper precoder with binary input and a ternary CPM. The
proposed precoder constrains the signal phase evolution in order to increase
the minimum Euclidean distance, and to limit the bandwidth expansion due to the
use of a... | [
{
"created": "Tue, 17 Nov 2015 18:30:48 GMT",
"version": "v1"
}
] | 2016-11-17 | [
[
"Messai",
"Malek",
""
],
[
"Piemontese",
"Amina",
""
],
[
"Colavolpe",
"Giulio",
""
],
[
"Amis",
"Karine",
""
],
[
"Guilloud",
"Frederic",
""
]
] | We design new continuous phase modulation (CPM) formats which are based on the combination of a proper precoder with binary input and a ternary CPM. The proposed precoder constrains the signal phase evolution in order to increase the minimum Euclidean distance, and to limit the bandwidth expansion due to the use of a t... |
1701.01094 | Karamjit Singh | Karamjit Singh, Garima Gupta, Gautam Shroff, and Puneet Agarwal | Minimally-Supervised Attribute Fusion for Data Lakes | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aggregate analysis, such as comparing country-wise sales versus global market
share across product categories, is often complicated by the unavailability of
common join attributes, e.g., category, across diverse datasets from different
geographies or retail chains, even after disparate data is technically ingested
in... | [
{
"created": "Wed, 4 Jan 2017 18:19:19 GMT",
"version": "v1"
}
] | 2017-01-05 | [
[
"Singh",
"Karamjit",
""
],
[
"Gupta",
"Garima",
""
],
[
"Shroff",
"Gautam",
""
],
[
"Agarwal",
"Puneet",
""
]
] | Aggregate analysis, such as comparing country-wise sales versus global market share across product categories, is often complicated by the unavailability of common join attributes, e.g., category, across diverse datasets from different geographies or retail chains, even after disparate data is technically ingested into... |
1705.08954 | Seungmo Kim | Seungmo Kim, Carl Dietrich | A Geometric Analysis Method for Evaluation of Coexistence between DSRC
and Wi-Fi at 5.9 GHz | Submitted to IEEE Transactions on Vehicular Technology | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Co-channel coexistence between Dedicated Short-Range Communications (DSRC)
and Wi-Fi needs thorough study. The reason is that although the 5.850-5.925 GHz
(5.9 GHz) band has been reserved for DSRC so far, the U.S. government is moving
swiftly on opening the band to be shared with Wi-Fi. However, most prior work
lacks... | [
{
"created": "Wed, 24 May 2017 20:17:18 GMT",
"version": "v1"
},
{
"created": "Wed, 31 May 2017 12:59:02 GMT",
"version": "v2"
}
] | 2017-06-01 | [
[
"Kim",
"Seungmo",
""
],
[
"Dietrich",
"Carl",
""
]
] | Co-channel coexistence between Dedicated Short-Range Communications (DSRC) and Wi-Fi needs thorough study. The reason is that although the 5.850-5.925 GHz (5.9 GHz) band has been reserved for DSRC so far, the U.S. government is moving swiftly on opening the band to be shared with Wi-Fi. However, most prior work lacks s... |
1912.11868 | Nicolas Dobigeon | Claire Guilloteau, Thomas Oberlin, Olivier Bern\'e and Nicolas
Dobigeon | Hyperspectral and multispectral image fusion under spectrally varying
spatial blurs -- Application to high dimensional infrared astronomical
imaging | null | null | null | null | cs.CV astro-ph.IM eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hyperspectral imaging has become a significant source of valuable data for
astronomers over the past decades. Current instrumental and observing time
constraints allow direct acquisition of multispectral images, with high spatial
but low spectral resolution, and hyperspectral images, with low spatial but
high spectra... | [
{
"created": "Thu, 26 Dec 2019 13:58:40 GMT",
"version": "v1"
}
] | 2019-12-30 | [
[
"Guilloteau",
"Claire",
""
],
[
"Oberlin",
"Thomas",
""
],
[
"Berné",
"Olivier",
""
],
[
"Dobigeon",
"Nicolas",
""
]
] | Hyperspectral imaging has become a significant source of valuable data for astronomers over the past decades. Current instrumental and observing time constraints allow direct acquisition of multispectral images, with high spatial but low spectral resolution, and hyperspectral images, with low spatial but high spectral ... |
2203.16681 | Andrew Hou | Andrew Hou, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu | Face Relighting with Geometrically Consistent Shadows | Accepted to CVPR 2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most face relighting methods are able to handle diffuse shadows, but struggle
to handle hard shadows, such as those cast by the nose. Methods that propose
techniques for handling hard shadows often do not produce geometrically
consistent shadows since they do not directly leverage the estimated face
geometry while sy... | [
{
"created": "Wed, 30 Mar 2022 21:31:24 GMT",
"version": "v1"
}
] | 2022-04-01 | [
[
"Hou",
"Andrew",
""
],
[
"Sarkis",
"Michel",
""
],
[
"Bi",
"Ning",
""
],
[
"Tong",
"Yiying",
""
],
[
"Liu",
"Xiaoming",
""
]
] | Most face relighting methods are able to handle diffuse shadows, but struggle to handle hard shadows, such as those cast by the nose. Methods that propose techniques for handling hard shadows often do not produce geometrically consistent shadows since they do not directly leverage the estimated face geometry while synt... |
2012.09897 | Massih-Reza Amini | Artem Betlei, Eustache Diemert, Massih-Reza Amini | Treatment Targeting by AUUC Maximization with Generalization Guarantees | 17 pages, 6 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the task of optimizing treatment assignment based on individual
treatment effect prediction. This task is found in many applications such as
personalized medicine or targeted advertising and has gained a surge of
interest in recent years under the name of Uplift Modeling. It consists in
targeting treatmen... | [
{
"created": "Thu, 17 Dec 2020 19:32:35 GMT",
"version": "v1"
}
] | 2020-12-21 | [
[
"Betlei",
"Artem",
""
],
[
"Diemert",
"Eustache",
""
],
[
"Amini",
"Massih-Reza",
""
]
] | We consider the task of optimizing treatment assignment based on individual treatment effect prediction. This task is found in many applications such as personalized medicine or targeted advertising and has gained a surge of interest in recent years under the name of Uplift Modeling. It consists in targeting treatment ... |
2402.15929 | Isha Chaudhary | Isha Chaudhary, Vedaant V. Jain, Gagandeep Singh | QuaCer-C: Quantitative Certification of Knowledge Comprehension in LLMs | null | null | null | null | cs.AI cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Large Language Models (LLMs) have demonstrated impressive performance on
several benchmarks. However, traditional studies do not provide formal
guarantees on the performance of LLMs. In this work, we propose a novel
certification framework for LLM, QuaCer-C, wherein we formally certify the
knowledge-comprehension cap... | [
{
"created": "Sat, 24 Feb 2024 23:16:57 GMT",
"version": "v1"
}
] | 2024-02-27 | [
[
"Chaudhary",
"Isha",
""
],
[
"Jain",
"Vedaant V.",
""
],
[
"Singh",
"Gagandeep",
""
]
] | Large Language Models (LLMs) have demonstrated impressive performance on several benchmarks. However, traditional studies do not provide formal guarantees on the performance of LLMs. In this work, we propose a novel certification framework for LLM, QuaCer-C, wherein we formally certify the knowledge-comprehension capab... |
1910.03434 | Mahardhika Pratama Dr | Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer
and Jie Lu | ATL: Autonomous Knowledge Transfer from Many Streaming Processes | This paper has been accepted for publication in CIKM 2019 | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Transferring knowledge across many streaming processes remains an uncharted
territory in the existing literature and features unique characteristics: no
labelled instance of the target domain, covariate shift of source and target
domain, different period of drifts in the source and target domains. Autonomous
transfer... | [
{
"created": "Tue, 8 Oct 2019 14:54:30 GMT",
"version": "v1"
},
{
"created": "Sat, 19 Oct 2019 05:41:29 GMT",
"version": "v2"
}
] | 2019-10-22 | [
[
"Pratama",
"Mahardhika",
""
],
[
"de Carvalho",
"Marcus",
""
],
[
"Xie",
"Renchunzi",
""
],
[
"Lughofer",
"Edwin",
""
],
[
"Lu",
"Jie",
""
]
] | Transferring knowledge across many streaming processes remains an uncharted territory in the existing literature and features unique characteristics: no labelled instance of the target domain, covariate shift of source and target domain, different period of drifts in the source and target domains. Autonomous transfer l... |
2401.11531 | Rongwu Xu | Rongwu Xu and Zhixuan Fang | Tempo: Confidentiality Preservation in Cloud-Based Neural Network
Training | null | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Cloud deep learning platforms provide cost-effective deep neural network
(DNN) training for customers who lack computation resources. However, cloud
systems are often untrustworthy and vulnerable to attackers, leading to growing
concerns about model privacy. Recently, researchers have sought to protect data
privacy i... | [
{
"created": "Sun, 21 Jan 2024 15:57:04 GMT",
"version": "v1"
}
] | 2024-01-23 | [
[
"Xu",
"Rongwu",
""
],
[
"Fang",
"Zhixuan",
""
]
] | Cloud deep learning platforms provide cost-effective deep neural network (DNN) training for customers who lack computation resources. However, cloud systems are often untrustworthy and vulnerable to attackers, leading to growing concerns about model privacy. Recently, researchers have sought to protect data privacy in ... |
2401.01130 | Bicheng Xu | Bicheng Xu, Qi Yan, Renjie Liao, Lele Wang, Leonid Sigal | Joint Generative Modeling of Scene Graphs and Images via Diffusion
Models | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present a novel generative task: joint scene graph - image
generation. While previous works have explored image generation conditioned on
scene graphs or layouts, our task is distinctive and important as it involves
generating scene graphs themselves unconditionally from noise, enabling
efficient an... | [
{
"created": "Tue, 2 Jan 2024 10:10:29 GMT",
"version": "v1"
}
] | 2024-01-03 | [
[
"Xu",
"Bicheng",
""
],
[
"Yan",
"Qi",
""
],
[
"Liao",
"Renjie",
""
],
[
"Wang",
"Lele",
""
],
[
"Sigal",
"Leonid",
""
]
] | In this paper, we present a novel generative task: joint scene graph - image generation. While previous works have explored image generation conditioned on scene graphs or layouts, our task is distinctive and important as it involves generating scene graphs themselves unconditionally from noise, enabling efficient and ... |
2005.12267 | Fadi Salo | Fadi Salo, MohammadNoor Injadat, Ali Bou Nassif, Aleksander Essex | Data Mining with Big Data in Intrusion Detection Systems: A Systematic
Literature Review | 8 Pages, 5 Figures, to be appeared in the proceedings of the
International Symposium on Big Data Management and Analytics. April 25-26,
2019, Calgary, Canada | null | null | null | cs.CR cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Cloud computing has become a powerful and indispensable technology for
complex, high performance and scalable computation. The exponential expansion
in the deployment of cloud technology has produced a massive amount of data
from a variety of applications, resources and platforms. In turn, the rapid
rate and volume o... | [
{
"created": "Sat, 23 May 2020 20:57:12 GMT",
"version": "v1"
}
] | 2020-05-27 | [
[
"Salo",
"Fadi",
""
],
[
"Injadat",
"MohammadNoor",
""
],
[
"Nassif",
"Ali Bou",
""
],
[
"Essex",
"Aleksander",
""
]
] | Cloud computing has become a powerful and indispensable technology for complex, high performance and scalable computation. The exponential expansion in the deployment of cloud technology has produced a massive amount of data from a variety of applications, resources and platforms. In turn, the rapid rate and volume of ... |
1711.06778 | Andrea Zunino | Sarah Adel Bargal, Andrea Zunino, Donghyun Kim, Jianming Zhang,
Vittorio Murino, Stan Sclaroff | Excitation Backprop for RNNs | CVPR 2018 Camera Ready Version | IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2018 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep models are state-of-the-art for many vision tasks including video action
recognition and video captioning. Models are trained to caption or classify
activity in videos, but little is known about the evidence used to make such
decisions. Grounding decisions made by deep networks has been studied in
spatial visual... | [
{
"created": "Sat, 18 Nov 2017 00:22:17 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Nov 2017 19:23:46 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Mar 2018 16:49:13 GMT",
"version": "v3"
}
] | 2018-03-09 | [
[
"Bargal",
"Sarah Adel",
""
],
[
"Zunino",
"Andrea",
""
],
[
"Kim",
"Donghyun",
""
],
[
"Zhang",
"Jianming",
""
],
[
"Murino",
"Vittorio",
""
],
[
"Sclaroff",
"Stan",
""
]
] | Deep models are state-of-the-art for many vision tasks including video action recognition and video captioning. Models are trained to caption or classify activity in videos, but little is known about the evidence used to make such decisions. Grounding decisions made by deep networks has been studied in spatial visual c... |
1903.03424 | Michael Heller | Michael Heller | The Homunculus Brain and Categorical Logic | 21 pages, one diagram, no figures | Philosophical Problems in Science 69, 2020, 253-280 | 10.1007/978-3-030-40245-7_13 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The interaction between syntax (formal language) and its semantics (meanings
of language) is one which has been well studied in categorical logic. The
results of this particular study are employed to understand how the brain is
able to create meanings. To emphasize the toy character of the proposed model,
we prefer t... | [
{
"created": "Thu, 28 Feb 2019 18:42:00 GMT",
"version": "v1"
},
{
"created": "Fri, 24 Jan 2020 11:33:07 GMT",
"version": "v2"
}
] | 2021-05-05 | [
[
"Heller",
"Michael",
""
]
] | The interaction between syntax (formal language) and its semantics (meanings of language) is one which has been well studied in categorical logic. The results of this particular study are employed to understand how the brain is able to create meanings. To emphasize the toy character of the proposed model, we prefer to ... |
1407.5883 | Ligong Wang | Yuval Kochman, Ligong Wang, Gregory W. Wornell | Toward Photon-Efficient Key Distribution over Optical Channels | In IEEE Transactions on Information Theory; same version except that
labels are corrected for Schemes S-1, S-2, and S-3, which appear as S-3, S-4,
and S-5 in the Transactions | IEEE Transactions on Information Theory, Vol. 60, No. 8, pp. 4958
- 4972, Aug. 2014 | 10.1109/TIT.2014.2331060 | null | cs.IT math.IT quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work considers the distribution of a secret key over an optical
(bosonic) channel in the regime of high photon efficiency, i.e., when the
number of secret key bits generated per detected photon is high. While in
principle the photon efficiency is unbounded, there is an inherent tradeoff
between this efficiency a... | [
{
"created": "Tue, 22 Jul 2014 14:25:03 GMT",
"version": "v1"
}
] | 2014-07-23 | [
[
"Kochman",
"Yuval",
""
],
[
"Wang",
"Ligong",
""
],
[
"Wornell",
"Gregory W.",
""
]
] | This work considers the distribution of a secret key over an optical (bosonic) channel in the regime of high photon efficiency, i.e., when the number of secret key bits generated per detected photon is high. While in principle the photon efficiency is unbounded, there is an inherent tradeoff between this efficiency and... |
1505.06800 | Baochang Zhang | Lei Wang, Baochang Zhang | Boosting-like Deep Learning For Pedestrian Detection | 9 pages,7 figures | null | null | null | cs.CV cs.LG cs.NE | http://creativecommons.org/licenses/by-nc-sa/3.0/ | This paper proposes boosting-like deep learning (BDL) framework for
pedestrian detection. Due to overtraining on the limited training samples,
overfitting is a major problem of deep learning. We incorporate a boosting-like
technique into deep learning to weigh the training samples, and thus prevent
overtraining in th... | [
{
"created": "Tue, 26 May 2015 03:52:52 GMT",
"version": "v1"
}
] | 2015-05-27 | [
[
"Wang",
"Lei",
""
],
[
"Zhang",
"Baochang",
""
]
] | This paper proposes boosting-like deep learning (BDL) framework for pedestrian detection. Due to overtraining on the limited training samples, overfitting is a major problem of deep learning. We incorporate a boosting-like technique into deep learning to weigh the training samples, and thus prevent overtraining in the ... |
2203.13307 | Nader Asadi | Nader Asadi, Sudhir Mudur, Eugene Belilovsky | Tackling Online One-Class Incremental Learning by Removing Negative
Contrasts | Accepted at NeurIPS 2021 Workshop on Distribution Shifts | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent work studies the supervised online continual learning setting where a
learner receives a stream of data whose class distribution changes over time.
Distinct from other continual learning settings the learner is presented new
samples only once and must distinguish between all seen classes. A number of
successfu... | [
{
"created": "Thu, 24 Mar 2022 19:17:29 GMT",
"version": "v1"
}
] | 2022-03-28 | [
[
"Asadi",
"Nader",
""
],
[
"Mudur",
"Sudhir",
""
],
[
"Belilovsky",
"Eugene",
""
]
] | Recent work studies the supervised online continual learning setting where a learner receives a stream of data whose class distribution changes over time. Distinct from other continual learning settings the learner is presented new samples only once and must distinguish between all seen classes. A number of successful ... |
2202.04762 | Sonal Mahajan | Sonal Mahajan and Mukul R. Prasad | Providing Real-time Assistance for Repairing Runtime Exceptions using
Stack Overflow Posts | null | null | null | null | cs.SE | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Runtime Exceptions (REs) are an important class of bugs that occur frequently
during code development. Traditional Automatic Program Repair (APR) tools are
of limited use in this "in-development" use case, since they require a
test-suite to be available as a patching oracle. Thus, developers typically
tend to manuall... | [
{
"created": "Wed, 9 Feb 2022 23:05:48 GMT",
"version": "v1"
}
] | 2022-02-11 | [
[
"Mahajan",
"Sonal",
""
],
[
"Prasad",
"Mukul R.",
""
]
] | Runtime Exceptions (REs) are an important class of bugs that occur frequently during code development. Traditional Automatic Program Repair (APR) tools are of limited use in this "in-development" use case, since they require a test-suite to be available as a patching oracle. Thus, developers typically tend to manually ... |
1505.06225 | Himanshu Jain | Himanshu Jain, Abhineet Parchure, Robert P. Broadwater, Murat Dilek,
Jeremy Woyak | Three-Phase Dynamic Simulation of Power Systems Using Combined
Transmission and Distribution System Models | 9 pages, This paper is the accepted version of the article that has
been accepted for publication in the IEEE Transactions on Power Systems. The
final formatted and IEEE-published version of this article is available
through IEEEXplore | H. Jain, et al, "Three-Phase Dynamic Simulation of Power Systems
Using Combined Transmission and Distribution System Models," in IEEE
Transactions on Power Systems, vol. 31, no. 6, pp. 4517-4524, Nov. 2016 | 10.1109/TPWRS.2016.2535297 | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a new method for studying electromechanical transients in
power systems using three phase, combined transmission and distribution models
(hybrid models). The methodology models individual phases of an electric
network and associated unbalance in load and generation. Therefore, the impacts
of load ... | [
{
"created": "Fri, 22 May 2015 21:01:40 GMT",
"version": "v1"
},
{
"created": "Thu, 31 Mar 2016 22:34:29 GMT",
"version": "v2"
},
{
"created": "Mon, 21 Nov 2016 16:49:39 GMT",
"version": "v3"
},
{
"created": "Tue, 22 Nov 2016 15:13:01 GMT",
"version": "v4"
}
] | 2016-11-23 | [
[
"Jain",
"Himanshu",
""
],
[
"Parchure",
"Abhineet",
""
],
[
"Broadwater",
"Robert P.",
""
],
[
"Dilek",
"Murat",
""
],
[
"Woyak",
"Jeremy",
""
]
] | This paper presents a new method for studying electromechanical transients in power systems using three phase, combined transmission and distribution models (hybrid models). The methodology models individual phases of an electric network and associated unbalance in load and generation. Therefore, the impacts of load un... |
2109.14210 | Francis Lau C.M. | Peng W. Zhang, Francis C.M. Lau and Chiu-W. Sham | Spatially Coupled PLDPC-Hadamard Convolutional Codes | 36 pages, 8 figures, 2 tables | null | null | null | cs.IT cs.AR math.IT | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We propose a new type of ultimate-Shannon-limit-approaching codes called
spatially coupled protograph-based low-density parity-check Hadamard
convolutional codes (SC-PLDPCH-CCs), which are constructed by spatially
coupling PLDPC-Hadamard block codes. We develop an efficient decoding algorithm
that combines pipeline d... | [
{
"created": "Wed, 29 Sep 2021 06:25:07 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Jul 2022 03:43:00 GMT",
"version": "v2"
}
] | 2022-07-26 | [
[
"Zhang",
"Peng W.",
""
],
[
"Lau",
"Francis C. M.",
""
],
[
"Sham",
"Chiu-W.",
""
]
] | We propose a new type of ultimate-Shannon-limit-approaching codes called spatially coupled protograph-based low-density parity-check Hadamard convolutional codes (SC-PLDPCH-CCs), which are constructed by spatially coupling PLDPC-Hadamard block codes. We develop an efficient decoding algorithm that combines pipeline dec... |
2008.09661 | Jonathan Siegel | Jonathan W. Siegel, Jianhong Chen, Pengchuan Zhang, Jinchao Xu | Training Sparse Neural Networks using Compressed Sensing | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pruning the weights of neural networks is an effective and widely-used
technique for reducing model size and inference complexity. We develop and test
a novel method based on compressed sensing which combines the pruning and
training into a single step. Specifically, we utilize an adaptively weighted
$\ell^1$ penalty... | [
{
"created": "Fri, 21 Aug 2020 19:35:54 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Apr 2021 04:14:08 GMT",
"version": "v2"
}
] | 2021-04-08 | [
[
"Siegel",
"Jonathan W.",
""
],
[
"Chen",
"Jianhong",
""
],
[
"Zhang",
"Pengchuan",
""
],
[
"Xu",
"Jinchao",
""
]
] | Pruning the weights of neural networks is an effective and widely-used technique for reducing model size and inference complexity. We develop and test a novel method based on compressed sensing which combines the pruning and training into a single step. Specifically, we utilize an adaptively weighted $\ell^1$ penalty o... |
1706.08133 | Christophe Guyeux | Christophe Guyeux, Abdallah Makhoul, Jacques M. Bahi | A Security Framework for Wireless Sensor Networks: Theory and Practice | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Wireless sensor networks are often deployed in public or otherwise untrusted
and even hostile environments, which prompts a number of security issues.
Although security is a necessity in other types of networks, it is much more so
in sensor networks due to the resource-constraint, susceptibility to physical
capture, ... | [
{
"created": "Sun, 25 Jun 2017 16:17:25 GMT",
"version": "v1"
}
] | 2017-06-27 | [
[
"Guyeux",
"Christophe",
""
],
[
"Makhoul",
"Abdallah",
""
],
[
"Bahi",
"Jacques M.",
""
]
] | Wireless sensor networks are often deployed in public or otherwise untrusted and even hostile environments, which prompts a number of security issues. Although security is a necessity in other types of networks, it is much more so in sensor networks due to the resource-constraint, susceptibility to physical capture, an... |
2204.07003 | Paolo Perrone | Sean Moss and Paolo Perrone | Probability monads with submonads of deterministic states - Extended
version | 16 pages. Extended version of paper accepted for LICS 2022 conference | null | 10.1145/3531130.3533355 | null | cs.LO math.CT math.PR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Probability theory can be studied synthetically as the computational effect
embodied by a commutative monad. In the recently proposed Markov categories,
one works with an abstraction of the Kleisli category and then defines
deterministic morphisms equationally in terms of copying and discarding. The
resulting differe... | [
{
"created": "Thu, 14 Apr 2022 14:54:45 GMT",
"version": "v1"
}
] | 2022-12-06 | [
[
"Moss",
"Sean",
""
],
[
"Perrone",
"Paolo",
""
]
] | Probability theory can be studied synthetically as the computational effect embodied by a commutative monad. In the recently proposed Markov categories, one works with an abstraction of the Kleisli category and then defines deterministic morphisms equationally in terms of copying and discarding. The resulting differenc... |
2110.01617 | Joshua Robertson | Joshua Robertson, Paul Kirkland, Juan Arturo Alanis, Mat\v{e}j Hejda,
Juli\'an Bueno, Gaetano Di Caterina, Antonio Hurtado | Ultrafast Neuromorphic Photonic Image Processing with a VCSEL Neuron | Main article: pages 1-11, 6 figures. Supplementary information: pages
12-18, 6 figures | null | null | null | cs.ET physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The ever-increasing demand for Artificial Intelligence (AI) systems is
underlining a significant requirement for new, AI-optimised hardware.
Neuromorphic (brain-like) processors are one highly-promising solution, with
photonic-enabled realizations receiving increasing attention. Among these,
approaches based upon Ver... | [
{
"created": "Mon, 4 Oct 2021 10:45:40 GMT",
"version": "v1"
}
] | 2021-10-06 | [
[
"Robertson",
"Joshua",
""
],
[
"Kirkland",
"Paul",
""
],
[
"Alanis",
"Juan Arturo",
""
],
[
"Hejda",
"Matěj",
""
],
[
"Bueno",
"Julián",
""
],
[
"Di Caterina",
"Gaetano",
""
],
[
"Hurtado",
"Antonio",
""
... | The ever-increasing demand for Artificial Intelligence (AI) systems is underlining a significant requirement for new, AI-optimised hardware. Neuromorphic (brain-like) processors are one highly-promising solution, with photonic-enabled realizations receiving increasing attention. Among these, approaches based upon Verti... |
2105.08950 | Xuchu Xu | Xuchu Xu, Ziteng Wang, Chen Feng | Projector-Guided Non-Holonomic Mobile 3D Printing | null | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fused deposition modeling (FDM) using mobile robots instead of the
gantry-based 3D printer enables additive manufacturing at a larger scale with
higher speed. This introduces challenges including accurate localization,
control of the printhead, and design of a stable mobile manipulator with low
vibrations and proper ... | [
{
"created": "Wed, 19 May 2021 06:49:10 GMT",
"version": "v1"
}
] | 2021-05-20 | [
[
"Xu",
"Xuchu",
""
],
[
"Wang",
"Ziteng",
""
],
[
"Feng",
"Chen",
""
]
] | Fused deposition modeling (FDM) using mobile robots instead of the gantry-based 3D printer enables additive manufacturing at a larger scale with higher speed. This introduces challenges including accurate localization, control of the printhead, and design of a stable mobile manipulator with low vibrations and proper de... |
2404.12386 | Shengcao Cao | Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong
Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang | SOHES: Self-supervised Open-world Hierarchical Entity Segmentation | ICLR 2024 | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Open-world entity segmentation, as an emerging computer vision task, aims at
segmenting entities in images without being restricted by pre-defined classes,
offering impressive generalization capabilities on unseen images and concepts.
Despite its promise, existing entity segmentation methods like Segment Anything
Mod... | [
{
"created": "Thu, 18 Apr 2024 17:59:46 GMT",
"version": "v1"
}
] | 2024-04-19 | [
[
"Cao",
"Shengcao",
""
],
[
"Gu",
"Jiuxiang",
""
],
[
"Kuen",
"Jason",
""
],
[
"Tan",
"Hao",
""
],
[
"Zhang",
"Ruiyi",
""
],
[
"Zhao",
"Handong",
""
],
[
"Nenkova",
"Ani",
""
],
[
"Gui",
"Liang-Y... | Open-world entity segmentation, as an emerging computer vision task, aims at segmenting entities in images without being restricted by pre-defined classes, offering impressive generalization capabilities on unseen images and concepts. Despite its promise, existing entity segmentation methods like Segment Anything Model... |
1503.05522 | Fariba Karimi Dr. | Fariba Karimi, Ludvig Bohlin, Anna Samoilenko, Martin Rosvall, Andrea
Lancichinetti | Mapping bilateral information interests using the activity of Wikipedia
editors | 11 pages, 3 figures in Palgrave Communications 1 (2015) | null | 10.1057/palcomms.2015.41 | null | cs.CY cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We live in a global village where electronic communication has eliminated the
geographical barriers of information exchange. The road is now open to
worldwide convergence of information interests, shared values, and
understanding. Nevertheless, interests still vary between countries around the
world. This raises impo... | [
{
"created": "Wed, 18 Mar 2015 18:22:36 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Jan 2016 17:31:04 GMT",
"version": "v2"
}
] | 2016-01-26 | [
[
"Karimi",
"Fariba",
""
],
[
"Bohlin",
"Ludvig",
""
],
[
"Samoilenko",
"Anna",
""
],
[
"Rosvall",
"Martin",
""
],
[
"Lancichinetti",
"Andrea",
""
]
] | We live in a global village where electronic communication has eliminated the geographical barriers of information exchange. The road is now open to worldwide convergence of information interests, shared values, and understanding. Nevertheless, interests still vary between countries around the world. This raises import... |
2108.09195 | Chenyang Lei | Chenyang Lei and Yue Wu and Qifeng Chen | Towards Photorealistic Colorization by Imagination | NeurIPS 2021 submission | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a novel approach to automatic image colorization by imitating the
imagination process of human experts. Our imagination module is designed to
generate color images that are context-correlated with black-and-white photos.
Given a black-and-white image, our imagination module firstly extracts the
context inf... | [
{
"created": "Fri, 20 Aug 2021 14:28:37 GMT",
"version": "v1"
}
] | 2021-08-23 | [
[
"Lei",
"Chenyang",
""
],
[
"Wu",
"Yue",
""
],
[
"Chen",
"Qifeng",
""
]
] | We present a novel approach to automatic image colorization by imitating the imagination process of human experts. Our imagination module is designed to generate color images that are context-correlated with black-and-white photos. Given a black-and-white image, our imagination module firstly extracts the context infor... |
2404.15417 | Zakaria Mhammedi | Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin | The Power of Resets in Online Reinforcement Learning | Fixed a small typo | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Simulators are a pervasive tool in reinforcement learning, but most existing
algorithms cannot efficiently exploit simulator access -- particularly in
high-dimensional domains that require general function approximation. We
explore the power of simulators through online reinforcement learning with
{local simulator ac... | [
{
"created": "Tue, 23 Apr 2024 18:09:53 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Apr 2024 14:31:09 GMT",
"version": "v2"
}
] | 2024-04-29 | [
[
"Mhammedi",
"Zakaria",
""
],
[
"Foster",
"Dylan J.",
""
],
[
"Rakhlin",
"Alexander",
""
]
] | Simulators are a pervasive tool in reinforcement learning, but most existing algorithms cannot efficiently exploit simulator access -- particularly in high-dimensional domains that require general function approximation. We explore the power of simulators through online reinforcement learning with {local simulator acce... |
2402.10207 | Rui Yang | Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu,
Jianshu Chen | Rewards-in-Context: Multi-objective Alignment of Foundation Models with
Dynamic Preference Adjustment | Accepted by ICML 2024 | null | null | null | cs.LG cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of multi-objective alignment of foundation models
with human preferences, which is a critical step towards helpful and harmless
AI systems. However, it is generally costly and unstable to fine-tune large
foundation models using reinforcement learning (RL), and the
multi-dimensionality, heterog... | [
{
"created": "Thu, 15 Feb 2024 18:58:31 GMT",
"version": "v1"
},
{
"created": "Mon, 19 Feb 2024 09:31:52 GMT",
"version": "v2"
},
{
"created": "Sun, 25 Feb 2024 03:38:48 GMT",
"version": "v3"
},
{
"created": "Fri, 24 May 2024 17:44:13 GMT",
"version": "v4"
},
{
"c... | 2024-06-06 | [
[
"Yang",
"Rui",
""
],
[
"Pan",
"Xiaoman",
""
],
[
"Luo",
"Feng",
""
],
[
"Qiu",
"Shuang",
""
],
[
"Zhong",
"Han",
""
],
[
"Yu",
"Dong",
""
],
[
"Chen",
"Jianshu",
""
]
] | We consider the problem of multi-objective alignment of foundation models with human preferences, which is a critical step towards helpful and harmless AI systems. However, it is generally costly and unstable to fine-tune large foundation models using reinforcement learning (RL), and the multi-dimensionality, heterogen... |
2312.17284 | Ramin Giahi | Ramin Giahi, Cameron A. MacKenzie, Reyhaneh Bijari | Dynamic Decision Making in Engineering System Design: A Deep Q-Learning
Approach | null | null | null | null | cs.LG cs.AI cs.IR cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Engineering system design, viewed as a decision-making process, faces
challenges due to complexity and uncertainty. In this paper, we present a
framework proposing the use of the Deep Q-learning algorithm to optimize the
design of engineering systems. We outline a step-by-step framework for
optimizing engineering sys... | [
{
"created": "Thu, 28 Dec 2023 06:11:34 GMT",
"version": "v1"
}
] | 2024-01-01 | [
[
"Giahi",
"Ramin",
""
],
[
"MacKenzie",
"Cameron A.",
""
],
[
"Bijari",
"Reyhaneh",
""
]
] | Engineering system design, viewed as a decision-making process, faces challenges due to complexity and uncertainty. In this paper, we present a framework proposing the use of the Deep Q-learning algorithm to optimize the design of engineering systems. We outline a step-by-step framework for optimizing engineering syste... |
2207.04029 | Subodip Biswas | Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James
Dunham, Rebecca Gelles, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren
Ramakrishnan | Lessons from Deep Learning applied to Scholarly Information Extraction:
What Works, What Doesn't, and Future Directions | ACM KDD 2022 Workshop on Data-driven Science of Science | null | null | null | cs.IR cs.AI | http://creativecommons.org/licenses/by/4.0/ | Understanding key insights from full-text scholarly articles is essential as
it enables us to determine interesting trends, give insight into the research
and development, and build knowledge graphs. However, some of the interesting
key insights are only available when considering full-text. Although
researchers have... | [
{
"created": "Fri, 8 Jul 2022 17:37:56 GMT",
"version": "v1"
}
] | 2022-07-11 | [
[
"Yousuf",
"Raquib Bin",
""
],
[
"Biswas",
"Subhodip",
""
],
[
"Kaushal",
"Kulendra Kumar",
""
],
[
"Dunham",
"James",
""
],
[
"Gelles",
"Rebecca",
""
],
[
"Muthiah",
"Sathappan",
""
],
[
"Self",
"Nathan",
"... | Understanding key insights from full-text scholarly articles is essential as it enables us to determine interesting trends, give insight into the research and development, and build knowledge graphs. However, some of the interesting key insights are only available when considering full-text. Although researchers have m... |
2403.16432 | Yue Xu | Yue Xu, Wenjie Wang | $\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on
Prompt-based Language Models | Accepted to the main conference of NAACL2024 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Prompt-based learning is a new language model training paradigm that adapts
the Pre-trained Language Models (PLMs) to downstream tasks, which revitalizes
the performance benchmarks across various natural language processing (NLP)
tasks. Instead of using a fixed prompt template to fine-tune the model, some
research de... | [
{
"created": "Mon, 25 Mar 2024 05:27:35 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Mar 2024 11:37:58 GMT",
"version": "v2"
},
{
"created": "Tue, 9 Apr 2024 13:05:49 GMT",
"version": "v3"
}
] | 2024-04-10 | [
[
"Xu",
"Yue",
""
],
[
"Wang",
"Wenjie",
""
]
] | Prompt-based learning is a new language model training paradigm that adapts the Pre-trained Language Models (PLMs) to downstream tasks, which revitalizes the performance benchmarks across various natural language processing (NLP) tasks. Instead of using a fixed prompt template to fine-tune the model, some research demo... |
2006.01456 | Utku Ozbulak | Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem | Perturbation Analysis of Gradient-based Adversarial Attacks | Accepted for publication in Pattern Recognition Letters, 2020 | Pattern Recognition Letters 2020, Volume 135, Pages 133-120 | 10.1016/j.patrec.2020.04.034 | null | cs.LG cs.AI cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | After the discovery of adversarial examples and their adverse effects on deep
learning models, many studies focused on finding more diverse methods to
generate these carefully crafted samples. Although empirical results on the
effectiveness of adversarial example generation methods against defense
mechanisms are disc... | [
{
"created": "Tue, 2 Jun 2020 08:51:37 GMT",
"version": "v1"
}
] | 2020-06-03 | [
[
"Ozbulak",
"Utku",
""
],
[
"Gasparyan",
"Manvel",
""
],
[
"De Neve",
"Wesley",
""
],
[
"Van Messem",
"Arnout",
""
]
] | After the discovery of adversarial examples and their adverse effects on deep learning models, many studies focused on finding more diverse methods to generate these carefully crafted samples. Although empirical results on the effectiveness of adversarial example generation methods against defense mechanisms are discus... |
1410.3013 | Mustafa Kocak | Mustafa Anil Kocak, Elza Erkip | Communicating Lists Over a Noisy Channel | Submitted to 52nd Annual Allerton Conference on Communication,
Control, and Computing | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work considers a communication scenario where the transmitter chooses a
list of size K from a total of M messages to send over a noisy communication
channel, the receiver generates a list of size L and communication is
considered successful if the intersection of the lists at two terminals has
cardinality greate... | [
{
"created": "Sat, 11 Oct 2014 17:18:32 GMT",
"version": "v1"
}
] | 2014-10-14 | [
[
"Kocak",
"Mustafa Anil",
""
],
[
"Erkip",
"Elza",
""
]
] | This work considers a communication scenario where the transmitter chooses a list of size K from a total of M messages to send over a noisy communication channel, the receiver generates a list of size L and communication is considered successful if the intersection of the lists at two terminals has cardinality greater ... |
1803.06531 | Deepjyoti Deka | Deepjyoti Deka, Michael Chertkov, Scott Backhaus | Topology Estimation using Graphical Models in Multi-Phase Power
Distribution Grids | 12 pages 9 figures | null | null | null | cs.SY math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distribution grid is the medium and low voltage part of a large power system.
Structurally, the majority of distribution networks operate radially, such that
energized lines form a collection of trees, i.e. forest, with a substation
being at the root of any tree. The operational topology/forest may change from
time t... | [
{
"created": "Sat, 17 Mar 2018 16:18:40 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Jul 2018 15:43:51 GMT",
"version": "v2"
}
] | 2018-07-12 | [
[
"Deka",
"Deepjyoti",
""
],
[
"Chertkov",
"Michael",
""
],
[
"Backhaus",
"Scott",
""
]
] | Distribution grid is the medium and low voltage part of a large power system. Structurally, the majority of distribution networks operate radially, such that energized lines form a collection of trees, i.e. forest, with a substation being at the root of any tree. The operational topology/forest may change from time to ... |
2312.02593 | Roel Pieters | K. Samarawickrama, G. Sharma, A. Angleraud and R. Pieters | 6D Assembly Pose Estimation by Point Cloud Registration for Robot
Manipulation | 8 pages | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | The demands on robotic manipulation skills to perform challenging tasks have
drastically increased in recent times. To perform these tasks with dexterity,
robots require perception tools to understand the scene and extract useful
information that transforms to robot control inputs. To this end, recent
research has in... | [
{
"created": "Tue, 5 Dec 2023 09:10:11 GMT",
"version": "v1"
}
] | 2023-12-06 | [
[
"Samarawickrama",
"K.",
""
],
[
"Sharma",
"G.",
""
],
[
"Angleraud",
"A.",
""
],
[
"Pieters",
"R.",
""
]
] | The demands on robotic manipulation skills to perform challenging tasks have drastically increased in recent times. To perform these tasks with dexterity, robots require perception tools to understand the scene and extract useful information that transforms to robot control inputs. To this end, recent research has intr... |
2109.07689 | Benjamin Adams | Benjamin Adams and Richard Hosking | Quoka Atlas of Scholarly Knowledge Production: An Interactive
Sensemaking Tool for Exploring the Outputs of Research Institutions | 10 pages, 5 figures | null | null | null | cs.DL cs.IR | http://creativecommons.org/licenses/by/4.0/ | The vast amount of research produced at institutions world-wide is extremely
diverse, and coarse-grained quantitative measures of impact often obscure the
individual contributions of these institutions to specific research fields and
topics. We show that by applying an information retrieval model to index
research ar... | [
{
"created": "Thu, 16 Sep 2021 03:12:21 GMT",
"version": "v1"
}
] | 2021-09-17 | [
[
"Adams",
"Benjamin",
""
],
[
"Hosking",
"Richard",
""
]
] | The vast amount of research produced at institutions world-wide is extremely diverse, and coarse-grained quantitative measures of impact often obscure the individual contributions of these institutions to specific research fields and topics. We show that by applying an information retrieval model to index research arti... |
2407.20234 | Gayathri Nadarajan | Jiwon Han, Chaeeun Ryu, Gayathri Nadarajan | Exploring Factors Affecting Student Learning Satisfaction during
COVID-19 in South Korea | null | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Understanding students' preferences and learning satisfaction during COVID-19
has focused on learning attributes such as self-efficacy, performance, and
engagement. Although existing efforts have constructed statistical models
capable of accurately identifying significant factors impacting learning
satisfaction, they... | [
{
"created": "Fri, 12 Jul 2024 14:28:11 GMT",
"version": "v1"
}
] | 2024-07-31 | [
[
"Han",
"Jiwon",
""
],
[
"Ryu",
"Chaeeun",
""
],
[
"Nadarajan",
"Gayathri",
""
]
] | Understanding students' preferences and learning satisfaction during COVID-19 has focused on learning attributes such as self-efficacy, performance, and engagement. Although existing efforts have constructed statistical models capable of accurately identifying significant factors impacting learning satisfaction, they d... |
2408.03506 | Calvin Tan | Calvin Tan, Jerome Wang | 1.5-Pints Technical Report: Pretraining in Days, Not Months -- Your
Language Model Thrives on Quality Data | Technical Report for 1.5-Pints | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a compute-efficient approach to pre-training a Language
Model-the "1.5-Pints"-in only 9 days, while outperforming state-of-the-art
models as an instruction-following assistant.Based on MT-Bench (a benchmark
that emulates human judgments), 1.5-Pints outperforms Apple's OpenELM and
Microsoft's Phi.T... | [
{
"created": "Wed, 7 Aug 2024 02:14:52 GMT",
"version": "v1"
}
] | 2024-08-08 | [
[
"Tan",
"Calvin",
""
],
[
"Wang",
"Jerome",
""
]
] | This paper presents a compute-efficient approach to pre-training a Language Model-the "1.5-Pints"-in only 9 days, while outperforming state-of-the-art models as an instruction-following assistant.Based on MT-Bench (a benchmark that emulates human judgments), 1.5-Pints outperforms Apple's OpenELM and Microsoft's Phi.Thi... |
2210.08174 | Jinming Zhao Ms | Jinming Zhao, Gholamreza Haffar, Ehsan Shareghi | Generating Synthetic Speech from SpokenVocab for Speech Translation | EACL2023-Finding | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training end-to-end speech translation (ST) systems requires sufficiently
large-scale data, which is unavailable for most language pairs and domains. One
practical solution to the data scarcity issue is to convert machine translation
data (MT) to ST data via text-to-speech (TTS) systems. Yet, using TTS systems
can be... | [
{
"created": "Sat, 15 Oct 2022 03:07:44 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Feb 2023 04:47:50 GMT",
"version": "v2"
}
] | 2023-02-09 | [
[
"Zhao",
"Jinming",
""
],
[
"Haffar",
"Gholamreza",
""
],
[
"Shareghi",
"Ehsan",
""
]
] | Training end-to-end speech translation (ST) systems requires sufficiently large-scale data, which is unavailable for most language pairs and domains. One practical solution to the data scarcity issue is to convert machine translation data (MT) to ST data via text-to-speech (TTS) systems. Yet, using TTS systems can be t... |
1508.02496 | Olivier Mor\`ere | Vijay Chandrasekhar, Jie Lin, Olivier Mor\`ere, Hanlin Goh, Antoine
Veillard | A Practical Guide to CNNs and Fisher Vectors for Image Instance
Retrieval | Deep Convolutional Neural Networks for instance retrieval, Fisher
Vectors, instance retrieval | null | null | null | cs.CV cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With deep learning becoming the dominant approach in computer vision, the use
of representations extracted from Convolutional Neural Nets (CNNs) is quickly
gaining ground on Fisher Vectors (FVs) as favoured state-of-the-art global
image descriptors for image instance retrieval. While the good performance of
CNNs for ... | [
{
"created": "Tue, 11 Aug 2015 07:15:07 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Aug 2015 10:51:50 GMT",
"version": "v2"
},
{
"created": "Tue, 25 Aug 2015 11:30:22 GMT",
"version": "v3"
}
] | 2015-08-26 | [
[
"Chandrasekhar",
"Vijay",
""
],
[
"Lin",
"Jie",
""
],
[
"Morère",
"Olivier",
""
],
[
"Goh",
"Hanlin",
""
],
[
"Veillard",
"Antoine",
""
]
] | With deep learning becoming the dominant approach in computer vision, the use of representations extracted from Convolutional Neural Nets (CNNs) is quickly gaining ground on Fisher Vectors (FVs) as favoured state-of-the-art global image descriptors for image instance retrieval. While the good performance of CNNs for im... |
0903.4217 | John Langford | Alina Beygelzimer, John Langford, Yuri Lifshits, Gregory Sorkin, and
Alex Strehl | Conditional Probability Tree Estimation Analysis and Algorithms | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of estimating the conditional probability of a label
in time $O(\log n)$, where $n$ is the number of possible labels. We analyze a
natural reduction of this problem to a set of binary regression problems
organized in a tree structure, proving a regret bound that scales with the
depth of the tr... | [
{
"created": "Wed, 25 Mar 2009 00:28:44 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Jun 2009 21:19:34 GMT",
"version": "v2"
}
] | 2009-06-04 | [
[
"Beygelzimer",
"Alina",
""
],
[
"Langford",
"John",
""
],
[
"Lifshits",
"Yuri",
""
],
[
"Sorkin",
"Gregory",
""
],
[
"Strehl",
"Alex",
""
]
] | We consider the problem of estimating the conditional probability of a label in time $O(\log n)$, where $n$ is the number of possible labels. We analyze a natural reduction of this problem to a set of binary regression problems organized in a tree structure, proving a regret bound that scales with the depth of the tree... |
2207.02039 | Weihan Cao | Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng | PKD: General Distillation Framework for Object Detectors via Pearson
Correlation Coefficient | Accepted in NeurIPS 2022 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Knowledge distillation(KD) is a widely-used technique to train compact models
in object detection. However, there is still a lack of study on how to distill
between heterogeneous detectors. In this paper, we empirically find that better
FPN features from a heterogeneous teacher detector can help the student
although ... | [
{
"created": "Tue, 5 Jul 2022 13:37:34 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Nov 2022 15:01:22 GMT",
"version": "v2"
}
] | 2022-12-01 | [
[
"Cao",
"Weihan",
""
],
[
"Zhang",
"Yifan",
""
],
[
"Gao",
"Jianfei",
""
],
[
"Cheng",
"Anda",
""
],
[
"Cheng",
"Ke",
""
],
[
"Cheng",
"Jian",
""
]
] | Knowledge distillation(KD) is a widely-used technique to train compact models in object detection. However, there is still a lack of study on how to distill between heterogeneous detectors. In this paper, we empirically find that better FPN features from a heterogeneous teacher detector can help the student although th... |
1709.02755 | Tao Lei | Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai and Yoav Artzi | Simple Recurrent Units for Highly Parallelizable Recurrence | EMNLP | null | null | null | cs.CL cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Common recurrent neural architectures scale poorly due to the intrinsic
difficulty in parallelizing their state computations. In this work, we propose
the Simple Recurrent Unit (SRU), a light recurrent unit that balances model
capacity and scalability. SRU is designed to provide expressive recurrence,
enable highly p... | [
{
"created": "Fri, 8 Sep 2017 16:02:30 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Sep 2017 20:13:56 GMT",
"version": "v2"
},
{
"created": "Sun, 5 Nov 2017 12:44:43 GMT",
"version": "v3"
},
{
"created": "Tue, 26 Dec 2017 03:58:02 GMT",
"version": "v4"
},
{
"cre... | 2018-09-10 | [
[
"Lei",
"Tao",
""
],
[
"Zhang",
"Yu",
""
],
[
"Wang",
"Sida I.",
""
],
[
"Dai",
"Hui",
""
],
[
"Artzi",
"Yoav",
""
]
] | Common recurrent neural architectures scale poorly due to the intrinsic difficulty in parallelizing their state computations. In this work, we propose the Simple Recurrent Unit (SRU), a light recurrent unit that balances model capacity and scalability. SRU is designed to provide expressive recurrence, enable highly par... |
2303.11319 | Liu Yuding | Yuding Liu, Dongzhu Liu, Guangxu Zhu, Qingjiang Shi and Caijun Zhong | Over-the-Air Federated Edge Learning with Error-Feedback One-Bit
Quantization and Power Control | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Over-the-air federated edge learning (Air-FEEL) is a communication-efficient
framework for distributed machine learning using training data distributed at
edge devices. This framework enables all edge devices to transmit model updates
simultaneously over the entire available bandwidth, allowing for over-the-air
aggre... | [
{
"created": "Mon, 20 Mar 2023 17:56:56 GMT",
"version": "v1"
}
] | 2023-03-21 | [
[
"Liu",
"Yuding",
""
],
[
"Liu",
"Dongzhu",
""
],
[
"Zhu",
"Guangxu",
""
],
[
"Shi",
"Qingjiang",
""
],
[
"Zhong",
"Caijun",
""
]
] | Over-the-air federated edge learning (Air-FEEL) is a communication-efficient framework for distributed machine learning using training data distributed at edge devices. This framework enables all edge devices to transmit model updates simultaneously over the entire available bandwidth, allowing for over-the-air aggrega... |
1803.11258 | Eleanor Watson | Nell Watson, Doreen Bianca | Welfare Without Taxation - Autonomous production revenues for Universal
Basic Income | 5 pages | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the face of shifting means of production from manual human labor to labor
automation, one solution that stands out is the advancement of a Universal
Basic Income, UBI to every citizen from the government with no strings
attached. The proposal, however, has encountered sharp criticism from different
quarters questi... | [
{
"created": "Fri, 23 Mar 2018 14:12:34 GMT",
"version": "v1"
}
] | 2018-04-02 | [
[
"Watson",
"Nell",
""
],
[
"Bianca",
"Doreen",
""
]
] | In the face of shifting means of production from manual human labor to labor automation, one solution that stands out is the advancement of a Universal Basic Income, UBI to every citizen from the government with no strings attached. The proposal, however, has encountered sharp criticism from different quarters question... |
2312.07786 | Jaemin Lee | Jaemin Lee, Jeeseop Kim, and Aaron D. Ames | A Data-driven Method for Safety-critical Control: Designing Control
Barrier Functions from State Constraints | 8 pages, 3 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the challenge of integrating explicit hard constraints
into the control barrier function (CBF) framework for ensuring safety in
autonomous systems, including robots. We propose a novel data-driven method to
derive CBFs from these hard constraints in practical scenarios. Our approach
assumes that ... | [
{
"created": "Tue, 12 Dec 2023 22:57:54 GMT",
"version": "v1"
}
] | 2023-12-14 | [
[
"Lee",
"Jaemin",
""
],
[
"Kim",
"Jeeseop",
""
],
[
"Ames",
"Aaron D.",
""
]
] | This paper addresses the challenge of integrating explicit hard constraints into the control barrier function (CBF) framework for ensuring safety in autonomous systems, including robots. We propose a novel data-driven method to derive CBFs from these hard constraints in practical scenarios. Our approach assumes that th... |
2004.12590 | Dominik K\"oppl | Dominik K\"oppl, Daiki Hashimoto, Diptarama Hendrian, and Ayumi
Shinohara | In-Place Bijective Burrows-Wheeler Transforms | In proceedings of CPM 2020 | null | 10.4230/LIPIcs.CPM.2020.23 | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | One of the most well-known variants of the Burrows-Wheeler transform (BWT)
[Burrows and Wheeler, 1994] is the bijective BWT (BBWT) [Gil and Scott, arXiv
2012], which applies the extended BWT (EBWT) [Mantaci et al., TCS 2007] to the
multiset of Lyndon factors of a given text. Since the EBWT is invertible, the
BBWT is ... | [
{
"created": "Mon, 27 Apr 2020 05:52:58 GMT",
"version": "v1"
}
] | 2020-04-28 | [
[
"Köppl",
"Dominik",
""
],
[
"Hashimoto",
"Daiki",
""
],
[
"Hendrian",
"Diptarama",
""
],
[
"Shinohara",
"Ayumi",
""
]
] | One of the most well-known variants of the Burrows-Wheeler transform (BWT) [Burrows and Wheeler, 1994] is the bijective BWT (BBWT) [Gil and Scott, arXiv 2012], which applies the extended BWT (EBWT) [Mantaci et al., TCS 2007] to the multiset of Lyndon factors of a given text. Since the EBWT is invertible, the BBWT is a ... |
1207.6536 | Chengqing Li | Chengqing Li, Yuansheng Liu, Leo Yu Zhang, Michael Z. Q. Chen | Breaking a chaotic image encryption algorithm based on modulo addition
and XOR operation | 12 pages, 3 figures | International Journal of Bifurcation and Chaos, 23(4): 1350075,
2013 | 10.1142/S0218127413500752 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper re-evaluates the security of a chaotic image encryption algorithm
called MCKBA/HCKBA and finds that it can be broken efficiently with two known
plain-images and the corresponding cipher-images. In addition, it is reported
that a previously proposed breaking on MCKBA/HCKBA can be further improved by
reducin... | [
{
"created": "Fri, 27 Jul 2012 13:16:09 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Sep 2016 16:48:25 GMT",
"version": "v2"
}
] | 2016-09-30 | [
[
"Li",
"Chengqing",
""
],
[
"Liu",
"Yuansheng",
""
],
[
"Zhang",
"Leo Yu",
""
],
[
"Chen",
"Michael Z. Q.",
""
]
] | This paper re-evaluates the security of a chaotic image encryption algorithm called MCKBA/HCKBA and finds that it can be broken efficiently with two known plain-images and the corresponding cipher-images. In addition, it is reported that a previously proposed breaking on MCKBA/HCKBA can be further improved by reducing ... |
2302.06233 | Sandun Dasanayake | Sandun Dasanayake, Jouni Markkula, Markku Oivo | Concerns in Software Development: A Systematic Mapping Study | 18th International Conference on Evaluation and Assessment in
Software Engineering (EASE), London, United Kingdom | null | 10.1145/2601248.2601290 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Context: Successfully addressing stakeholder concerns that are related to
software system development and operation is crucial to achieving development
goals. The importance of using a systematic approach to addressing these
concerns throughout the software development life cycle is growing as more and
more systems a... | [
{
"created": "Mon, 13 Feb 2023 10:14:09 GMT",
"version": "v1"
}
] | 2023-02-14 | [
[
"Dasanayake",
"Sandun",
""
],
[
"Markkula",
"Jouni",
""
],
[
"Oivo",
"Markku",
""
]
] | Context: Successfully addressing stakeholder concerns that are related to software system development and operation is crucial to achieving development goals. The importance of using a systematic approach to addressing these concerns throughout the software development life cycle is growing as more and more systems are... |
2106.08648 | Danny Merkx | Danny Merkx, Stefan L. Frank, Mirjam Ernestus | Semantic sentence similarity: size does not always matter | This paper has been accepted at Interspeech 2021 where it will be
presented and appear in the conference proceedings in September 2021 | Proc. Interspeech 2021 | 10.21437/Interspeech.2021-1464 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This study addresses the question whether visually grounded speech
recognition (VGS) models learn to capture sentence semantics without access to
any prior linguistic knowledge. We produce synthetic and natural spoken
versions of a well known semantic textual similarity database and show that our
VGS model produces e... | [
{
"created": "Wed, 16 Jun 2021 09:22:58 GMT",
"version": "v1"
}
] | 2022-03-31 | [
[
"Merkx",
"Danny",
""
],
[
"Frank",
"Stefan L.",
""
],
[
"Ernestus",
"Mirjam",
""
]
] | This study addresses the question whether visually grounded speech recognition (VGS) models learn to capture sentence semantics without access to any prior linguistic knowledge. We produce synthetic and natural spoken versions of a well known semantic textual similarity database and show that our VGS model produces emb... |
1806.10904 | James Gilbert | James P Gilbert and Jamie Twycross | From clusters to queries: exploiting uncertainty in the modularity
landscape of complex networks | 14th International Workshop on Mining and Learning with Graphs | null | null | null | cs.SI physics.soc-ph | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Uncovering latent community structure in complex networks is a field that has
received an enormous amount of attention. Unfortunately, whilst potentially
very powerful, unsupervised methods for uncovering labels based on topology
alone has been shown to suffer from several difficulties. For example, the
search space ... | [
{
"created": "Thu, 28 Jun 2018 12:05:46 GMT",
"version": "v1"
}
] | 2018-06-29 | [
[
"Gilbert",
"James P",
""
],
[
"Twycross",
"Jamie",
""
]
] | Uncovering latent community structure in complex networks is a field that has received an enormous amount of attention. Unfortunately, whilst potentially very powerful, unsupervised methods for uncovering labels based on topology alone has been shown to suffer from several difficulties. For example, the search space fo... |
1708.09080 | Andr\'e van Renssen | Luis Barba, Jean Cardinal, Matias Korman, Stefan Langerman, Andr\'e
van Renssen, Marcel Roeloffzen, Sander Verdonschot | Dynamic Graph Coloring | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we study the number of vertex recolorings that an algorithm
needs to perform in order to maintain a proper coloring of a graph under
insertion and deletion of vertices and edges. We present two algorithms that
achieve different trade-offs between the number of recolorings and the number
of colors used. ... | [
{
"created": "Wed, 30 Aug 2017 01:50:36 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Jun 2018 00:58:54 GMT",
"version": "v2"
}
] | 2018-06-26 | [
[
"Barba",
"Luis",
""
],
[
"Cardinal",
"Jean",
""
],
[
"Korman",
"Matias",
""
],
[
"Langerman",
"Stefan",
""
],
[
"van Renssen",
"André",
""
],
[
"Roeloffzen",
"Marcel",
""
],
[
"Verdonschot",
"Sander",
""
... | In this paper we study the number of vertex recolorings that an algorithm needs to perform in order to maintain a proper coloring of a graph under insertion and deletion of vertices and edges. We present two algorithms that achieve different trade-offs between the number of recolorings and the number of colors used. Fo... |
2205.08012 | Tara Safavi | Tara Safavi, Doug Downey, Tom Hope | CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction | AKBC 2022 | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Knowledge graph (KG) link prediction is a fundamental task in artificial
intelligence, with applications in natural language processing, information
retrieval, and biomedicine. Recently, promising results have been achieved by
leveraging cross-modal information in KGs, using ensembles that combine
knowledge graph emb... | [
{
"created": "Mon, 16 May 2022 22:55:45 GMT",
"version": "v1"
},
{
"created": "Fri, 23 Sep 2022 16:45:34 GMT",
"version": "v2"
}
] | 2022-09-26 | [
[
"Safavi",
"Tara",
""
],
[
"Downey",
"Doug",
""
],
[
"Hope",
"Tom",
""
]
] | Knowledge graph (KG) link prediction is a fundamental task in artificial intelligence, with applications in natural language processing, information retrieval, and biomedicine. Recently, promising results have been achieved by leveraging cross-modal information in KGs, using ensembles that combine knowledge graph embed... |
1308.0867 | Bo Li | Bo Li | A Survey of Spline-based Volumetric Data Modeling Framework and Its
Applications | Master Thesis, Computer Science Department, Stony Brook University | null | null | null | cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rapid advances in 3D scanning and acquisition techniques have given rise
to the explosive increase of volumetric digital models in recent years. This
dissertation systematically trailblazes a novel volumetric modeling framework
to represent 3D solids. The need to explore more efficient and robust 3D
modeling fram... | [
{
"created": "Mon, 5 Aug 2013 01:27:36 GMT",
"version": "v1"
}
] | 2013-08-06 | [
[
"Li",
"Bo",
""
]
] | The rapid advances in 3D scanning and acquisition techniques have given rise to the explosive increase of volumetric digital models in recent years. This dissertation systematically trailblazes a novel volumetric modeling framework to represent 3D solids. The need to explore more efficient and robust 3D modeling framew... |
0909.2371 | Nevin Vunka Jungum | Payal N. Raj and Prashant B. Swadas | Dpraodv: A Dyanamic Learning System Against Blackhole Attack in Aodv
Based Manet | International Journal of Computer Science Issues (IJCSI), Volume 1,
pp54-59, August 2009 | P. N. Raj and P. B. Swadas, "DPRAODV: A DYANAMIC LEARNING SYSTEM
AGAINST BLACKHOLE ATTACK IN AODV BASED MANET", International Journal of
Computer Science Issues (IJCSI), Volume 1, pp54-59, August 2009 | null | null | cs.CR cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Security is an essential requirement in mobile ad hoc networks to provide
protected communication between mobile nodes. Due to unique characteristics of
MANETS, it creates a number of consequential challenges to its security design.
To overcome the challenges, there is a need to build a multifence security
solution t... | [
{
"created": "Sat, 12 Sep 2009 21:10:41 GMT",
"version": "v1"
}
] | 2009-09-15 | [
[
"Raj",
"Payal N.",
""
],
[
"Swadas",
"Prashant B.",
""
]
] | Security is an essential requirement in mobile ad hoc networks to provide protected communication between mobile nodes. Due to unique characteristics of MANETS, it creates a number of consequential challenges to its security design. To overcome the challenges, there is a need to build a multifence security solution tha... |
1801.08406 | Subrahmanyam Murala | Akshay Dudhane and Subrahmanyam Murala | C2MSNet: A Novel approach for single image haze removal | Accepted in Winter Conference on Applications of Computer Vision
(WACV-2018) | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Degradation of image quality due to the presence of haze is a very common
phenomenon. Existing DehazeNet [3], MSCNN [11] tackled the drawbacks of hand
crafted haze relevant features. However, these methods have the problem of
color distortion in gloomy (poor illumination) environment. In this paper, a
cardinal (red, ... | [
{
"created": "Thu, 25 Jan 2018 14:16:14 GMT",
"version": "v1"
}
] | 2018-01-26 | [
[
"Dudhane",
"Akshay",
""
],
[
"Murala",
"Subrahmanyam",
""
]
] | Degradation of image quality due to the presence of haze is a very common phenomenon. Existing DehazeNet [3], MSCNN [11] tackled the drawbacks of hand crafted haze relevant features. However, these methods have the problem of color distortion in gloomy (poor illumination) environment. In this paper, a cardinal (red, gr... |
1702.02737 | Xuan-Son Vu | Xuan-Son Vu, Seong-Bae Park | Mining User/Movie Preferred Features Based on Reviews for Video
Recommendation System | The 2nd Workshop on Future Researches of Computer Science and
Engineering, Kyungpook National University, pp. 21-24, 2014 | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we present an approach for mining user preferences and
recommendation based on reviews. There have been various studies worked on
recommendation problem. However, most of the studies beyond one aspect user
generated- content such as user ratings, user feedback and so on to state user
preferences. There ... | [
{
"created": "Thu, 9 Feb 2017 08:03:16 GMT",
"version": "v1"
}
] | 2017-02-10 | [
[
"Vu",
"Xuan-Son",
""
],
[
"Park",
"Seong-Bae",
""
]
] | In this work, we present an approach for mining user preferences and recommendation based on reviews. There have been various studies worked on recommendation problem. However, most of the studies beyond one aspect user generated- content such as user ratings, user feedback and so on to state user preferences. There is... |
2011.12884 | Lu Chen | Lu Chen, Lipeng Chen, Xiangchi Chen, Yi Ren, Longfei Zhao, Yue Wang,
Rong Xiong | Improving Redundancy Availability: Dynamic Subtasks Modulation for
Robots with Redundancy Insufficiency | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work presents an approach for robots to suitably carry out complex
applications characterized by the presence of multiple additional constraints
or subtasks (e.g. obstacle and self-collision avoidance) but subject to
redundancy insufficiency. The proposed approach, based on a novel subtask
merging strategy, enfo... | [
{
"created": "Wed, 25 Nov 2020 17:04:55 GMT",
"version": "v1"
},
{
"created": "Thu, 10 Dec 2020 01:49:59 GMT",
"version": "v2"
}
] | 2020-12-11 | [
[
"Chen",
"Lu",
""
],
[
"Chen",
"Lipeng",
""
],
[
"Chen",
"Xiangchi",
""
],
[
"Ren",
"Yi",
""
],
[
"Zhao",
"Longfei",
""
],
[
"Wang",
"Yue",
""
],
[
"Xiong",
"Rong",
""
]
] | This work presents an approach for robots to suitably carry out complex applications characterized by the presence of multiple additional constraints or subtasks (e.g. obstacle and self-collision avoidance) but subject to redundancy insufficiency. The proposed approach, based on a novel subtask merging strategy, enforc... |
2201.10749 | Xiaobin Xiong | Xiaobin Xiong and Yuxiao Chen and Aaron Ames | Robust Disturbance Rejection for Robotic Bipedal Walking:
System-Level-Synthesis with Step-to-step Dynamics Approximation | in CDC 2021 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a stepping stabilization control that addresses external push
disturbances on bipedal walking robots. The stepping control is synthesized
based on the step-to-step (S2S) dynamics of the robot that is controlled to
have an approximately constant center of mass (COM) height. We first learn a
linear S2S dynam... | [
{
"created": "Wed, 26 Jan 2022 04:52:00 GMT",
"version": "v1"
}
] | 2022-01-27 | [
[
"Xiong",
"Xiaobin",
""
],
[
"Chen",
"Yuxiao",
""
],
[
"Ames",
"Aaron",
""
]
] | We present a stepping stabilization control that addresses external push disturbances on bipedal walking robots. The stepping control is synthesized based on the step-to-step (S2S) dynamics of the robot that is controlled to have an approximately constant center of mass (COM) height. We first learn a linear S2S dynamic... |
2407.18892 | Tuan Anh Nguyen | Seunghyeop Nam, Tuan Anh Nguyen, Eunmi Choi, Dugki Min | SHANGUS: Deep Reinforcement Learning Meets Heuristic Optimization for
Speedy Frontier-Based Exploration of Autonomous Vehicles in Unknown Spaces | null | null | null | null | cs.RO cs.AI cs.SY eess.SY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This paper introduces SHANGUS, an advanced framework combining Deep
Reinforcement Learning (DRL) with heuristic optimization to improve
frontier-based exploration efficiency in unknown environments, particularly for
intelligent vehicles in autonomous air services, search and rescue operations,
and space exploration r... | [
{
"created": "Fri, 26 Jul 2024 17:42:18 GMT",
"version": "v1"
}
] | 2024-07-29 | [
[
"Nam",
"Seunghyeop",
""
],
[
"Nguyen",
"Tuan Anh",
""
],
[
"Choi",
"Eunmi",
""
],
[
"Min",
"Dugki",
""
]
] | This paper introduces SHANGUS, an advanced framework combining Deep Reinforcement Learning (DRL) with heuristic optimization to improve frontier-based exploration efficiency in unknown environments, particularly for intelligent vehicles in autonomous air services, search and rescue operations, and space exploration rob... |
2102.01747 | Vin\'icius da Silva | Vin\'icius da Silva, Tiago Novello, H\'elio Lopes, Luiz Velho | Real-time rendering of complex fractals | 11 pages, 4 figures | null | null | null | cs.GR math.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This chapter describes how to use intersection and closest-hit shaders to
implement real-time visualizations of complex fractals using distance
functions. The Mandelbulb and Julia Sets are used as examples.
| [
{
"created": "Tue, 2 Feb 2021 20:44:59 GMT",
"version": "v1"
}
] | 2021-02-04 | [
[
"da Silva",
"Vinícius",
""
],
[
"Novello",
"Tiago",
""
],
[
"Lopes",
"Hélio",
""
],
[
"Velho",
"Luiz",
""
]
] | This chapter describes how to use intersection and closest-hit shaders to implement real-time visualizations of complex fractals using distance functions. The Mandelbulb and Julia Sets are used as examples. |
1705.02749 | Neda Shabani | Neda Shabani | A study of cyber security in hospitality industry- threats and
countermeasures: case study in Reno, Nevada | 47 page | null | null | null | cs.CY cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The purpose of this study is to analyze cyber security and security practices
of electronic information and network system, network threats, and techniques
to prevent the cyber attacks in hotels. Helping the information technology
directors and chief information officers (CIO) is the aim of this study to
advance poli... | [
{
"created": "Mon, 8 May 2017 05:49:21 GMT",
"version": "v1"
}
] | 2017-05-09 | [
[
"Shabani",
"Neda",
""
]
] | The purpose of this study is to analyze cyber security and security practices of electronic information and network system, network threats, and techniques to prevent the cyber attacks in hotels. Helping the information technology directors and chief information officers (CIO) is the aim of this study to advance policy... |
1106.5310 | Florin Pop Mr. | Eliza Moise, Diana Moise, Florin Pop, Valentin Cristea | Advance Reservation of Resources for Task Execution in Grid Environments | ISSN: 2065-0701 | Proceedings of The Second International Workshop on High
Performance in Grid Middleware (HiPerGRID 2008), Bucharest, Romania,
Published by IEEE Romania, 2008, pages: 57-64 | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper proposes a solution for the Grid scheduling problem, addressing in
particular the requirement of high performance an efficient algorithm must
fulfill. Advance Reservation engages a distributed, dynamic, fault-tolerant and
efficient strategy which reserves resources for future task execution. The
paper prese... | [
{
"created": "Mon, 27 Jun 2011 06:24:50 GMT",
"version": "v1"
}
] | 2011-06-28 | [
[
"Moise",
"Eliza",
""
],
[
"Moise",
"Diana",
""
],
[
"Pop",
"Florin",
""
],
[
"Cristea",
"Valentin",
""
]
] | The paper proposes a solution for the Grid scheduling problem, addressing in particular the requirement of high performance an efficient algorithm must fulfill. Advance Reservation engages a distributed, dynamic, fault-tolerant and efficient strategy which reserves resources for future task execution. The paper present... |
2309.08580 | Alexander Smith | Alexander Smith, Steven Schilling, Prodromos Daoutidis | Automated Characterization and Monitoring of Material Shape using
Riemannian Geometry | null | null | null | null | cs.CE stat.AP | http://creativecommons.org/licenses/by/4.0/ | Shape affects both the physical and chemical properties of a material.
Characterizing the roughness, convexity, and general geometry of a material can
yield information on its catalytic efficiency, solubility, elasticity,
porosity, and overall effectiveness in the application of interest. However,
material shape can ... | [
{
"created": "Thu, 17 Aug 2023 17:03:22 GMT",
"version": "v1"
}
] | 2023-09-18 | [
[
"Smith",
"Alexander",
""
],
[
"Schilling",
"Steven",
""
],
[
"Daoutidis",
"Prodromos",
""
]
] | Shape affects both the physical and chemical properties of a material. Characterizing the roughness, convexity, and general geometry of a material can yield information on its catalytic efficiency, solubility, elasticity, porosity, and overall effectiveness in the application of interest. However, material shape can be... |
1802.07332 | Alexey Frolov Dr. | Anton Glebov, Nikolay Matveev, Kirill Andreev, Alexey Frolov and
Andrey Turlikov | Achievability Bounds for T-Fold Irregular Repetition Slotted ALOHA
Scheme in the Gaussian MAC | 6 pages, submitted to IEEE WCNC 2019 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the problem of uncoordinated massive random-access in the Gaussian
multiple access channel (MAC). The performance of low-complexity T-fold
irregular repetition slotted ALOHA (IRSA) scheme is investigated and
achievability bounds are derived. The main difference of this scheme in
comparison to IRSA is as fo... | [
{
"created": "Tue, 20 Feb 2018 21:23:28 GMT",
"version": "v1"
},
{
"created": "Sun, 18 Nov 2018 10:14:57 GMT",
"version": "v2"
}
] | 2018-11-20 | [
[
"Glebov",
"Anton",
""
],
[
"Matveev",
"Nikolay",
""
],
[
"Andreev",
"Kirill",
""
],
[
"Frolov",
"Alexey",
""
],
[
"Turlikov",
"Andrey",
""
]
] | We address the problem of uncoordinated massive random-access in the Gaussian multiple access channel (MAC). The performance of low-complexity T-fold irregular repetition slotted ALOHA (IRSA) scheme is investigated and achievability bounds are derived. The main difference of this scheme in comparison to IRSA is as foll... |
2301.09729 | Elisa Donati | Elisa Donati, Simone Benatti, Enea Ceolini, and Giacomo Indiveri | Long-term stable Electromyography classification using Canonical
Correlation Analysis | null | null | null | null | cs.LG cs.HC eess.SP stat.AP | http://creativecommons.org/licenses/by/4.0/ | Discrimination of hand gestures based on the decoding of surface
electromyography (sEMG) signals is a well-establish approach for controlling
prosthetic devices and for Human-Machine Interfaces (HMI). However, despite the
promising results achieved by this approach in well-controlled experimental
conditions, its depl... | [
{
"created": "Mon, 23 Jan 2023 21:45:00 GMT",
"version": "v1"
}
] | 2023-01-25 | [
[
"Donati",
"Elisa",
""
],
[
"Benatti",
"Simone",
""
],
[
"Ceolini",
"Enea",
""
],
[
"Indiveri",
"Giacomo",
""
]
] | Discrimination of hand gestures based on the decoding of surface electromyography (sEMG) signals is a well-establish approach for controlling prosthetic devices and for Human-Machine Interfaces (HMI). However, despite the promising results achieved by this approach in well-controlled experimental conditions, its deploy... |
2303.08920 | Chenbin Pan | Chenbin Pan, Zhiqi Zhang, Senem Velipasalar, Yi Xu | EgoViT: Pyramid Video Transformer for Egocentric Action Recognition | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Capturing interaction of hands with objects is important to autonomously
detect human actions from egocentric videos. In this work, we present a pyramid
video transformer with a dynamic class token generator for egocentric action
recognition. Different from previous video transformers, which use the same
static embed... | [
{
"created": "Wed, 15 Mar 2023 20:33:50 GMT",
"version": "v1"
}
] | 2023-03-17 | [
[
"Pan",
"Chenbin",
""
],
[
"Zhang",
"Zhiqi",
""
],
[
"Velipasalar",
"Senem",
""
],
[
"Xu",
"Yi",
""
]
] | Capturing interaction of hands with objects is important to autonomously detect human actions from egocentric videos. In this work, we present a pyramid video transformer with a dynamic class token generator for egocentric action recognition. Different from previous video transformers, which use the same static embeddi... |
0903.3462 | Luigi Santocanale | Luigi Santocanale (LIF) | A Nice Labelling for Tree-Like Event Structures of Degree 3 (Extended
Version) | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the problem of finding nice labellings for event structures of
degree 3. We develop a minimum theory by which we prove that the labelling
number of an event structure of degree 3 is bounded by a linear function of the
height. The main theorem we present in this paper states that event structures
of degree ... | [
{
"created": "Fri, 20 Mar 2009 07:54:05 GMT",
"version": "v1"
}
] | 2009-03-23 | [
[
"Santocanale",
"Luigi",
"",
"LIF"
]
] | We address the problem of finding nice labellings for event structures of degree 3. We develop a minimum theory by which we prove that the labelling number of an event structure of degree 3 is bounded by a linear function of the height. The main theorem we present in this paper states that event structures of degree 3 ... |
1301.3539 | Yoonseop Kang | Yoonseop Kang and Seungjin Choi | Learning Features with Structure-Adapting Multi-view Exponential Family
Harmoniums | 3 pages, 2 figures, ICLR2013 workshop track submission | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We proposea graphical model for multi-view feature extraction that
automatically adapts its structure to achieve better representation of data
distribution. The proposed model, structure-adapting multi-view harmonium
(SA-MVH) has switch parameters that control the connection between hidden nodes
and input views, and ... | [
{
"created": "Wed, 16 Jan 2013 01:07:38 GMT",
"version": "v1"
}
] | 2013-01-17 | [
[
"Kang",
"Yoonseop",
""
],
[
"Choi",
"Seungjin",
""
]
] | We proposea graphical model for multi-view feature extraction that automatically adapts its structure to achieve better representation of data distribution. The proposed model, structure-adapting multi-view harmonium (SA-MVH) has switch parameters that control the connection between hidden nodes and input views, and le... |
1909.09139 | Eyy\"ub Sari | Eyy\"ub Sari, Mouloud Belbahri, Vahid Partovi Nia | How Does Batch Normalization Help Binary Training? | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Binary Neural Networks (BNNs) are difficult to train, and suffer from drop of
accuracy. It appears in practice that BNNs fail to train in the absence of
Batch Normalization (BatchNorm) layer. We find the main role of BatchNorm is to
avoid exploding gradients in the case of BNNs. This finding suggests that the
common ... | [
{
"created": "Wed, 18 Sep 2019 19:15:35 GMT",
"version": "v1"
},
{
"created": "Thu, 10 Oct 2019 13:41:48 GMT",
"version": "v2"
},
{
"created": "Wed, 29 Apr 2020 14:03:27 GMT",
"version": "v3"
}
] | 2020-04-30 | [
[
"Sari",
"Eyyüb",
""
],
[
"Belbahri",
"Mouloud",
""
],
[
"Nia",
"Vahid Partovi",
""
]
] | Binary Neural Networks (BNNs) are difficult to train, and suffer from drop of accuracy. It appears in practice that BNNs fail to train in the absence of Batch Normalization (BatchNorm) layer. We find the main role of BatchNorm is to avoid exploding gradients in the case of BNNs. This finding suggests that the common in... |
2007.09333 | Lars Rohwedder | Moritz Buchem, Lars Rohwedder, Tjark Vredeveld, Andreas Wiese | Additive Approximation Schemes for Load Balancing Problems | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we introduce the concept of additive approximation schemes and
apply it to load balancing problems. Additive approximation schemes aim to find
a solution with an absolute error in the objective of at most $\epsilon h$ for
some suitable parameter $h$. In the case that the parameter $h$ provides a
lower b... | [
{
"created": "Sat, 18 Jul 2020 05:24:47 GMT",
"version": "v1"
}
] | 2020-07-21 | [
[
"Buchem",
"Moritz",
""
],
[
"Rohwedder",
"Lars",
""
],
[
"Vredeveld",
"Tjark",
""
],
[
"Wiese",
"Andreas",
""
]
] | In this paper we introduce the concept of additive approximation schemes and apply it to load balancing problems. Additive approximation schemes aim to find a solution with an absolute error in the objective of at most $\epsilon h$ for some suitable parameter $h$. In the case that the parameter $h$ provides a lower bou... |
2110.10457 | Boshko Koloski | Boshko Koloski and Timen Stepi\v{s}nik-Perdih and Marko
Robnik-\v{S}ikonja and Senja Pollak and Bla\v{z} \v{S}krlj | Knowledge Graph informed Fake News Classification via Heterogeneous
Representation Ensembles | null | null | 10.1016/j.neucom.2022.01.096 | null | cs.CL cs.AI cs.CY | http://creativecommons.org/licenses/by/4.0/ | Increasing amounts of freely available data both in textual and relational
form offers exploration of richer document representations, potentially
improving the model performance and robustness. An emerging problem in the
modern era is fake news detection -- many easily available pieces of
information are not necessa... | [
{
"created": "Wed, 20 Oct 2021 09:41:14 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Feb 2022 11:29:40 GMT",
"version": "v2"
}
] | 2022-02-16 | [
[
"Koloski",
"Boshko",
""
],
[
"Stepišnik-Perdih",
"Timen",
""
],
[
"Robnik-Šikonja",
"Marko",
""
],
[
"Pollak",
"Senja",
""
],
[
"Škrlj",
"Blaž",
""
]
] | Increasing amounts of freely available data both in textual and relational form offers exploration of richer document representations, potentially improving the model performance and robustness. An emerging problem in the modern era is fake news detection -- many easily available pieces of information are not necessari... |
2212.07020 | Zhuocheng Shang | Zhuocheng Shang, Ahmed Eldawy | Object Delineation in Satellite Images | 7 Pages, 4 Figures, 1 Table, to be submitted to the 4th ACM
SIGSPATIAL International Workshop on Spatial Gems (SpatialGems 2022) | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by/4.0/ | Machine learning is being widely applied to analyze satellite data with
problems such as classification and feature detection. Unlike traditional image
processing algorithms, geospatial applications need to convert the detected
objects from a raster form to a geospatial vector form to further analyze it.
This gem del... | [
{
"created": "Wed, 14 Dec 2022 04:19:45 GMT",
"version": "v1"
}
] | 2022-12-15 | [
[
"Shang",
"Zhuocheng",
""
],
[
"Eldawy",
"Ahmed",
""
]
] | Machine learning is being widely applied to analyze satellite data with problems such as classification and feature detection. Unlike traditional image processing algorithms, geospatial applications need to convert the detected objects from a raster form to a geospatial vector form to further analyze it. This gem deliv... |
2312.01191 | Cong Yang | Cong Yang, Zuchao Li, Lefei Zhang | Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image
Captioning | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently, remote sensing image captioning has gained significant attention in
the remote sensing community. Due to the significant differences in spatial
resolution of remote sensing images, existing methods in this field have
predominantly concentrated on the fine-grained extraction of remote sensing
image features,... | [
{
"created": "Sat, 2 Dec 2023 17:32:17 GMT",
"version": "v1"
}
] | 2023-12-05 | [
[
"Yang",
"Cong",
""
],
[
"Li",
"Zuchao",
""
],
[
"Zhang",
"Lefei",
""
]
] | Recently, remote sensing image captioning has gained significant attention in the remote sensing community. Due to the significant differences in spatial resolution of remote sensing images, existing methods in this field have predominantly concentrated on the fine-grained extraction of remote sensing image features, b... |
2010.07835 | Yue Yu | Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao and Chao Zhang | Fine-Tuning Pre-trained Language Model with Weak Supervision: A
Contrastive-Regularized Self-Training Approach | NAACL-HLT 2021. Code: \url{https://github.com/yueyu1030/COSINE} | NAACL-HLT 2021 | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Fine-tuned pre-trained language models (LMs) have achieved enormous success
in many natural language processing (NLP) tasks, but they still require
excessive labeled data in the fine-tuning stage. We study the problem of
fine-tuning pre-trained LMs using only weak supervision, without any labeled
data. This problem i... | [
{
"created": "Thu, 15 Oct 2020 15:55:08 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Oct 2020 17:05:28 GMT",
"version": "v2"
},
{
"created": "Wed, 31 Mar 2021 02:25:55 GMT",
"version": "v3"
}
] | 2021-04-01 | [
[
"Yu",
"Yue",
""
],
[
"Zuo",
"Simiao",
""
],
[
"Jiang",
"Haoming",
""
],
[
"Ren",
"Wendi",
""
],
[
"Zhao",
"Tuo",
""
],
[
"Zhang",
"Chao",
""
]
] | Fine-tuned pre-trained language models (LMs) have achieved enormous success in many natural language processing (NLP) tasks, but they still require excessive labeled data in the fine-tuning stage. We study the problem of fine-tuning pre-trained LMs using only weak supervision, without any labeled data. This problem is ... |
2301.03679 | Niklas Zwingenberger | Niklas Zwingenberger | Transformers as Policies for Variable Action Environments | Accepted to AAAI Conference for Artificial Intelligence for
Interactive Digital Entertainment (AIIDE) 2022 Workshop | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this project we demonstrate the effectiveness of the transformer encoder
as a viable architecture for policies in variable action environments. Using
it, we train an agent using Proximal Policy Optimisation (PPO) on multiple maps
against scripted opponents in the Gym-$\mu$RTS environment. The final agent is
able t... | [
{
"created": "Mon, 9 Jan 2023 21:03:10 GMT",
"version": "v1"
}
] | 2023-01-11 | [
[
"Zwingenberger",
"Niklas",
""
]
] | In this project we demonstrate the effectiveness of the transformer encoder as a viable architecture for policies in variable action environments. Using it, we train an agent using Proximal Policy Optimisation (PPO) on multiple maps against scripted opponents in the Gym-$\mu$RTS environment. The final agent is able to ... |
2110.01676 | Tao Sun | Gautham Ramajayam, Tao Sun, Chiu C. Tan, Lannan Luo, Haibin Ling | Deep Learning Approach Protecting Privacy in Camera-Based Critical
Applications | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many critical applications rely on cameras to capture video footage for
analytical purposes. This has led to concerns about these cameras accidentally
capturing more information than is necessary. In this paper, we propose a deep
learning approach towards protecting privacy in camera-based systems. Instead
of specify... | [
{
"created": "Mon, 4 Oct 2021 19:16:27 GMT",
"version": "v1"
}
] | 2021-10-06 | [
[
"Ramajayam",
"Gautham",
""
],
[
"Sun",
"Tao",
""
],
[
"Tan",
"Chiu C.",
""
],
[
"Luo",
"Lannan",
""
],
[
"Ling",
"Haibin",
""
]
] | Many critical applications rely on cameras to capture video footage for analytical purposes. This has led to concerns about these cameras accidentally capturing more information than is necessary. In this paper, we propose a deep learning approach towards protecting privacy in camera-based systems. Instead of specifyin... |
2304.02199 | Bryce Ferenczi | Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid
Rezatofighi, Anton van den Hengel | Knowledge Combination to Learn Rotated Detection Without Rotated
Annotation | 10 pages, 5 figures, Accepted by CVPR 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Rotated bounding boxes drastically reduce output ambiguity of elongated
objects, making it superior to axis-aligned bounding boxes. Despite the
effectiveness, rotated detectors are not widely employed. Annotating rotated
bounding boxes is such a laborious process that they are not provided in many
detection datasets ... | [
{
"created": "Wed, 5 Apr 2023 03:07:36 GMT",
"version": "v1"
},
{
"created": "Thu, 4 May 2023 10:10:10 GMT",
"version": "v2"
}
] | 2023-05-05 | [
[
"Zhu",
"Tianyu",
""
],
[
"Ferenczi",
"Bryce",
""
],
[
"Purkait",
"Pulak",
""
],
[
"Drummond",
"Tom",
""
],
[
"Rezatofighi",
"Hamid",
""
],
[
"Hengel",
"Anton van den",
""
]
] | Rotated bounding boxes drastically reduce output ambiguity of elongated objects, making it superior to axis-aligned bounding boxes. Despite the effectiveness, rotated detectors are not widely employed. Annotating rotated bounding boxes is such a laborious process that they are not provided in many detection datasets wh... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.