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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1910.02423 | Harikrishnan Nellippallil Balakrishnan | Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu
Saha, Nithin Nagaraj | ChaosNet: A Chaos based Artificial Neural Network Architecture for
Classification | 27 pages, 23 figures | null | null | null | cs.LG nlin.CD stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inspired by chaotic firing of neurons in the brain, we propose ChaosNet -- a
novel chaos based artificial neural network architecture for classification
tasks. ChaosNet is built using layers of neurons, each of which is a 1D chaotic
map known as the Generalized Luroth Series (GLS) which has been shown in
earlier work... | [
{
"created": "Sun, 6 Oct 2019 11:40:40 GMT",
"version": "v1"
}
] | 2019-10-08 | [
[
"Balakrishnan",
"Harikrishnan Nellippallil",
""
],
[
"Kathpalia",
"Aditi",
""
],
[
"Saha",
"Snehanshu",
""
],
[
"Nagaraj",
"Nithin",
""
]
] | Inspired by chaotic firing of neurons in the brain, we propose ChaosNet -- a novel chaos based artificial neural network architecture for classification tasks. ChaosNet is built using layers of neurons, each of which is a 1D chaotic map known as the Generalized Luroth Series (GLS) which has been shown in earlier works ... |
0801.4230 | Simon Perdrix | Simon Perdrix | Quantum entanglement analysis based on abstract interpretation | 13 pages | Proc. of 15th International Static Analysis Symposium (SAS 2008).
LNCS 5079, pp 270-282 | 10.1007/978-3-540-69166-2_18 | null | cs.LO cs.PL quant-ph | null | Entanglement is a non local property of quantum states which has no classical
counterpart and plays a decisive role in quantum information theory. Several
protocols, like the teleportation, are based on quantum entangled states.
Moreover, any quantum algorithm which does not create entanglement can be
efficiently sim... | [
{
"created": "Mon, 28 Jan 2008 10:45:47 GMT",
"version": "v1"
}
] | 2008-12-08 | [
[
"Perdrix",
"Simon",
""
]
] | Entanglement is a non local property of quantum states which has no classical counterpart and plays a decisive role in quantum information theory. Several protocols, like the teleportation, are based on quantum entangled states. Moreover, any quantum algorithm which does not create entanglement can be efficiently simul... |
1401.0561 | Janne Lindqvist | Michael Sherman, Gradeigh Clark, Yulong Yang, Shridatt Sugrim, Arttu
Modig, Janne Lindqvist, Antti Oulasvirta, Teemu Roos | User-Generated Free-Form Gestures for Authentication: Security and
Memorability | null | null | null | null | cs.CR cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the security and memorability of free-form multitouch
gestures for mobile authentication. Towards this end, we collected a dataset
with a generate-test-retest paradigm where participants (N=63) generated
free-form gestures, repeated them, and were later retested for memory. Half of
the participants... | [
{
"created": "Thu, 2 Jan 2014 23:15:27 GMT",
"version": "v1"
}
] | 2014-01-06 | [
[
"Sherman",
"Michael",
""
],
[
"Clark",
"Gradeigh",
""
],
[
"Yang",
"Yulong",
""
],
[
"Sugrim",
"Shridatt",
""
],
[
"Modig",
"Arttu",
""
],
[
"Lindqvist",
"Janne",
""
],
[
"Oulasvirta",
"Antti",
""
],
[
... | This paper studies the security and memorability of free-form multitouch gestures for mobile authentication. Towards this end, we collected a dataset with a generate-test-retest paradigm where participants (N=63) generated free-form gestures, repeated them, and were later retested for memory. Half of the participants d... |
2005.13956 | Mao Ye | Xinpeng Li | Improving Generalized Zero-Shot Learning by Semantic Discriminator | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is a recognized fact that the classification accuracy of unseen classes in
the setting of Generalized Zero-Shot Learning (GZSL) is much lower than that of
traditional Zero-Shot Leaning (ZSL). One of the reasons is that an instance is
always misclassified to the wrong domain. Here we refer to the seen and unseen
cl... | [
{
"created": "Thu, 28 May 2020 12:48:38 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Jun 2020 14:43:10 GMT",
"version": "v2"
}
] | 2020-06-12 | [
[
"Li",
"Xinpeng",
""
]
] | It is a recognized fact that the classification accuracy of unseen classes in the setting of Generalized Zero-Shot Learning (GZSL) is much lower than that of traditional Zero-Shot Leaning (ZSL). One of the reasons is that an instance is always misclassified to the wrong domain. Here we refer to the seen and unseen clas... |
2211.14086 | Jingwang Ling | Jingwang Ling, Zhibo Wang, Feng Xu | ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision | CVPR 2023. Project page: https://gerwang.github.io/shadowneus/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | By supervising camera rays between a scene and multi-view image planes, NeRF
reconstructs a neural scene representation for the task of novel view
synthesis. On the other hand, shadow rays between the light source and the
scene have yet to be considered. Therefore, we propose a novel shadow ray
supervision scheme tha... | [
{
"created": "Fri, 25 Nov 2022 13:14:56 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Mar 2023 14:21:24 GMT",
"version": "v2"
}
] | 2023-03-24 | [
[
"Ling",
"Jingwang",
""
],
[
"Wang",
"Zhibo",
""
],
[
"Xu",
"Feng",
""
]
] | By supervising camera rays between a scene and multi-view image planes, NeRF reconstructs a neural scene representation for the task of novel view synthesis. On the other hand, shadow rays between the light source and the scene have yet to be considered. Therefore, we propose a novel shadow ray supervision scheme that ... |
1907.07366 | Yen Hao Huang | Yen-Hao Huang, Yi-Hsin Chen, Fernando Henrique Calderon Alvarado,
Ssu-Rui Lee, Shu-I Wu, Yuwen Lai and Yi-Shin Chen | Leveraging Linguistic Characteristics for Bipolar Disorder Recognition
with Gender Differences | Accepted by DSHealth '19: 2019 KDD Workshop on Applied Data Science
for Healthcare | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most previous studies on automatic recognition model for bipolar disorder
(BD) were based on both social media and linguistic features. The present study
investigates the possibility of adopting only language-based features, namely
the syntax and morpheme collocation. We also examine the effect of gender on
the resul... | [
{
"created": "Wed, 17 Jul 2019 07:37:13 GMT",
"version": "v1"
}
] | 2019-07-18 | [
[
"Huang",
"Yen-Hao",
""
],
[
"Chen",
"Yi-Hsin",
""
],
[
"Alvarado",
"Fernando Henrique Calderon",
""
],
[
"Lee",
"Ssu-Rui",
""
],
[
"Wu",
"Shu-I",
""
],
[
"Lai",
"Yuwen",
""
],
[
"Chen",
"Yi-Shin",
""
]
] | Most previous studies on automatic recognition model for bipolar disorder (BD) were based on both social media and linguistic features. The present study investigates the possibility of adopting only language-based features, namely the syntax and morpheme collocation. We also examine the effect of gender on the results... |
2310.09238 | Saumajit Saha | Saumajit Saha and Albert Nanda | BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models
for Sentiment Analysis of Bangla Social Media Posts | 7 pages, 2 figures, workshop | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Bangla is the 7th most widely spoken language globally, with a staggering 234
million native speakers primarily hailing from India and Bangladesh. This
morphologically rich language boasts a rich literary tradition, encompassing
diverse dialects and language-specific challenges. Despite its linguistic
richness and hi... | [
{
"created": "Fri, 13 Oct 2023 16:46:38 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Oct 2023 03:51:38 GMT",
"version": "v2"
}
] | 2023-10-19 | [
[
"Saha",
"Saumajit",
""
],
[
"Nanda",
"Albert",
""
]
] | Bangla is the 7th most widely spoken language globally, with a staggering 234 million native speakers primarily hailing from India and Bangladesh. This morphologically rich language boasts a rich literary tradition, encompassing diverse dialects and language-specific challenges. Despite its linguistic richness and hist... |
1403.7720 | Quan Yu | Quan Yu, Chi Wan Sung, Terence H. Chan | Irregular Fractional Repetition Code Optimization for Heterogeneous
Cloud Storage | 12 pages, 10 figures. to appear in IEEE Journal on Selected Areas in
Communications 2014 | null | 10.1109/JSAC.2014.140523 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a flexible irregular model for heterogeneous cloud
storage systems and investigates how the cost of repairing failed nodes can be
minimized. The fractional repetition code, originally designed for minimizing
repair bandwidth for homogeneous storage systems, is generalized to the
irregular fraction... | [
{
"created": "Sun, 30 Mar 2014 09:00:51 GMT",
"version": "v1"
}
] | 2016-11-18 | [
[
"Yu",
"Quan",
""
],
[
"Sung",
"Chi Wan",
""
],
[
"Chan",
"Terence H.",
""
]
] | This paper presents a flexible irregular model for heterogeneous cloud storage systems and investigates how the cost of repairing failed nodes can be minimized. The fractional repetition code, originally designed for minimizing repair bandwidth for homogeneous storage systems, is generalized to the irregular fractional... |
2112.08765 | Enguerrand Prebet | Enguerrand Prebet (ENS Lyon, FOCUS) | On Up-to Context Techniques in the $\pi$-calculus | null | null | null | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a variant of the theory of compatible functions on relations, due
to Sangiorgi and Pous. We show that the up-to context proof technique for
bisimulation is compatible in this setting for two subsets of the pi-calculus:
the asynchronous pi-calculus and a pi-calculus with immediately available
names.
| [
{
"created": "Thu, 16 Dec 2021 10:24:09 GMT",
"version": "v1"
},
{
"created": "Fri, 3 Jun 2022 08:32:10 GMT",
"version": "v2"
}
] | 2022-06-06 | [
[
"Prebet",
"Enguerrand",
"",
"ENS Lyon, FOCUS"
]
] | We present a variant of the theory of compatible functions on relations, due to Sangiorgi and Pous. We show that the up-to context proof technique for bisimulation is compatible in this setting for two subsets of the pi-calculus: the asynchronous pi-calculus and a pi-calculus with immediately available names. |
2107.00584 | Lucas da Silva Reis | Claudio Qureshi and Lucas Reis | On the functional graph of the power map over finite groups | null | null | null | null | cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we study the description of the functional graphs associated
with the power maps over finite groups. We present a structural result which
describes the isomorphism class of these graphs for abelian groups and also for
flower groups, which is a special class of non abelian groups introduced in
this paper... | [
{
"created": "Thu, 1 Jul 2021 16:17:00 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Sep 2022 19:56:23 GMT",
"version": "v2"
}
] | 2022-09-08 | [
[
"Qureshi",
"Claudio",
""
],
[
"Reis",
"Lucas",
""
]
] | In this paper we study the description of the functional graphs associated with the power maps over finite groups. We present a structural result which describes the isomorphism class of these graphs for abelian groups and also for flower groups, which is a special class of non abelian groups introduced in this paper. ... |
2401.09621 | Jes\'us Camacho-Rodr\'iguez | Ashvin Agrawal, Tim Brown, Anoop Johnson, Jes\'us Camacho-Rodr\'iguez,
Kyle Weller, Carlo Curino, Raghu Ramakrishnan | XTable in Action: Seamless Interoperability in Data Lakes | null | null | null | null | cs.DB | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Contemporary approaches to data management are increasingly relying on
unified analytics and AI platforms to foster collaboration, interoperability,
seamless access to reliable data, and high performance. Data Lakes featuring
open standard table formats such as Delta Lake, Apache Hudi, and Apache Iceberg
are central ... | [
{
"created": "Wed, 17 Jan 2024 22:18:00 GMT",
"version": "v1"
}
] | 2024-01-19 | [
[
"Agrawal",
"Ashvin",
""
],
[
"Brown",
"Tim",
""
],
[
"Johnson",
"Anoop",
""
],
[
"Camacho-Rodríguez",
"Jesús",
""
],
[
"Weller",
"Kyle",
""
],
[
"Curino",
"Carlo",
""
],
[
"Ramakrishnan",
"Raghu",
""
]
] | Contemporary approaches to data management are increasingly relying on unified analytics and AI platforms to foster collaboration, interoperability, seamless access to reliable data, and high performance. Data Lakes featuring open standard table formats such as Delta Lake, Apache Hudi, and Apache Iceberg are central co... |
2203.08321 | Emadeldeen Eldele | Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo,
Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li | ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data | Accepted in the ACM Transactions on Knowledge Discovery from Data
(TKDD) | null | 10.1145/3587937 | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Unsupervised domain adaptation methods aim to generalize well on unlabeled
test data that may have a different (shifted) distribution from the training
data. Such methods are typically developed on image data, and their application
to time series data is less explored. Existing works on time series domain
adaptation ... | [
{
"created": "Tue, 15 Mar 2022 23:55:05 GMT",
"version": "v1"
},
{
"created": "Fri, 5 May 2023 14:06:57 GMT",
"version": "v2"
}
] | 2023-05-08 | [
[
"Ragab",
"Mohamed",
""
],
[
"Eldele",
"Emadeldeen",
""
],
[
"Tan",
"Wee Ling",
""
],
[
"Foo",
"Chuan-Sheng",
""
],
[
"Chen",
"Zhenghua",
""
],
[
"Wu",
"Min",
""
],
[
"Kwoh",
"Chee-Keong",
""
],
[
"L... | Unsupervised domain adaptation methods aim to generalize well on unlabeled test data that may have a different (shifted) distribution from the training data. Such methods are typically developed on image data, and their application to time series data is less explored. Existing works on time series domain adaptation su... |
2006.01713 | ShiLiang Zhang | Zhifu Gao, Shiliang Zhang, Ming Lei, Ian McLoughlin | SAN-M: Memory Equipped Self-Attention for End-to-End Speech Recognition | submitted to INTERSPEECH2020 | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | End-to-end speech recognition has become popular in recent years, since it
can integrate the acoustic, pronunciation and language models into a single
neural network. Among end-to-end approaches, attention-based methods have
emerged as being superior. For example, Transformer, which adopts an
encoder-decoder architec... | [
{
"created": "Thu, 21 May 2020 03:33:09 GMT",
"version": "v1"
}
] | 2020-06-03 | [
[
"Gao",
"Zhifu",
""
],
[
"Zhang",
"Shiliang",
""
],
[
"Lei",
"Ming",
""
],
[
"McLoughlin",
"Ian",
""
]
] | End-to-end speech recognition has become popular in recent years, since it can integrate the acoustic, pronunciation and language models into a single neural network. Among end-to-end approaches, attention-based methods have emerged as being superior. For example, Transformer, which adopts an encoder-decoder architectu... |
1701.08407 | Lu Lu | Lu Lu, Haiquan Zhao | Subband adaptive filter trained by differential evolution for channel
estimation | 7 pages, 4 figures | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The normalized subband adaptive filter (NSAF) is widely accepted as a
preeminent adaptive filtering algorithm because of its efficiency under the
colored excitation. However, the convergence rate of NSAF is slow. To address
this drawback, in this paper, a variant of the NSAF, called the differential
evolution (DE)-NS... | [
{
"created": "Sun, 29 Jan 2017 17:30:53 GMT",
"version": "v1"
},
{
"created": "Sun, 5 Mar 2017 18:33:38 GMT",
"version": "v2"
},
{
"created": "Fri, 17 Mar 2017 02:04:06 GMT",
"version": "v3"
}
] | 2017-03-20 | [
[
"Lu",
"Lu",
""
],
[
"Zhao",
"Haiquan",
""
]
] | The normalized subband adaptive filter (NSAF) is widely accepted as a preeminent adaptive filtering algorithm because of its efficiency under the colored excitation. However, the convergence rate of NSAF is slow. To address this drawback, in this paper, a variant of the NSAF, called the differential evolution (DE)-NSAF... |
2302.07116 | Lechao Cheng | Tian Qiu, Linyun Zhou, Wenxiang Xu, Lechao Cheng, Zunlei Feng, Mingli
Song | Team DETR: Guide Queries as a Professional Team in Detection
Transformers | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recent proposed DETR variants have made tremendous progress in various
scenarios due to their streamlined processes and remarkable performance.
However, the learned queries usually explore the global context to generate the
final set prediction, resulting in redundant burdens and unfaithful results.
More specifically... | [
{
"created": "Tue, 14 Feb 2023 15:21:53 GMT",
"version": "v1"
},
{
"created": "Wed, 15 Feb 2023 07:25:10 GMT",
"version": "v2"
},
{
"created": "Tue, 28 Feb 2023 04:28:12 GMT",
"version": "v3"
}
] | 2023-03-01 | [
[
"Qiu",
"Tian",
""
],
[
"Zhou",
"Linyun",
""
],
[
"Xu",
"Wenxiang",
""
],
[
"Cheng",
"Lechao",
""
],
[
"Feng",
"Zunlei",
""
],
[
"Song",
"Mingli",
""
]
] | Recent proposed DETR variants have made tremendous progress in various scenarios due to their streamlined processes and remarkable performance. However, the learned queries usually explore the global context to generate the final set prediction, resulting in redundant burdens and unfaithful results. More specifically, ... |
1912.00369 | Roger Moore | Roger K. Moore | Talking with Robots: Opportunities and Challenges | Submitted for presentation at the UNESCO International Conference
Language Technologies for All (LT4All), Paris, 4-6 December 2019
(https://en.unesco.org/LT4All) | null | null | null | cs.HC cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Notwithstanding the tremendous progress that is taking place in spoken
language technology, effective speech-based human-robot interaction still
raises a number of important challenges. Not only do the fields of robotics and
spoken language technology present their own special problems, but their
combination raises a... | [
{
"created": "Sun, 1 Dec 2019 09:42:50 GMT",
"version": "v1"
}
] | 2019-12-03 | [
[
"Moore",
"Roger K.",
""
]
] | Notwithstanding the tremendous progress that is taking place in spoken language technology, effective speech-based human-robot interaction still raises a number of important challenges. Not only do the fields of robotics and spoken language technology present their own special problems, but their combination raises an ... |
2107.13304 | Bang Xiang Yong | Bang Xiang Yong, Tim Pearce, Alexandra Brintrup | Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for
Out-of-Distribution Detection | Presented at the ICML 2020 Workshop on Uncertainty and Ro-bustness in
Deep Learning | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | After an autoencoder (AE) has learnt to reconstruct one dataset, it might be
expected that the likelihood on an out-of-distribution (OOD) input would be
low. This has been studied as an approach to detect OOD inputs. Recent work
showed this intuitive approach can fail for the dataset pairs FashionMNIST vs
MNIST. This... | [
{
"created": "Wed, 28 Jul 2021 11:51:35 GMT",
"version": "v1"
}
] | 2021-07-29 | [
[
"Yong",
"Bang Xiang",
""
],
[
"Pearce",
"Tim",
""
],
[
"Brintrup",
"Alexandra",
""
]
] | After an autoencoder (AE) has learnt to reconstruct one dataset, it might be expected that the likelihood on an out-of-distribution (OOD) input would be low. This has been studied as an approach to detect OOD inputs. Recent work showed this intuitive approach can fail for the dataset pairs FashionMNIST vs MNIST. This p... |
2009.12626 | Klim Zaporojets | Klim Zaporojets, Johannes Deleu, Chris Develder, Thomas Demeester | DWIE: an entity-centric dataset for multi-task document-level
information extraction | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents DWIE, the 'Deutsche Welle corpus for Information
Extraction', a newly created multi-task dataset that combines four main
Information Extraction (IE) annotation subtasks: (i) Named Entity Recognition
(NER), (ii) Coreference Resolution, (iii) Relation Extraction (RE), and (iv)
Entity Linking. DWIE i... | [
{
"created": "Sat, 26 Sep 2020 15:53:22 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Mar 2021 13:46:09 GMT",
"version": "v2"
}
] | 2021-03-10 | [
[
"Zaporojets",
"Klim",
""
],
[
"Deleu",
"Johannes",
""
],
[
"Develder",
"Chris",
""
],
[
"Demeester",
"Thomas",
""
]
] | This paper presents DWIE, the 'Deutsche Welle corpus for Information Extraction', a newly created multi-task dataset that combines four main Information Extraction (IE) annotation subtasks: (i) Named Entity Recognition (NER), (ii) Coreference Resolution, (iii) Relation Extraction (RE), and (iv) Entity Linking. DWIE is ... |
2107.01726 | Vladimir Vovk | Vladimir Vovk, Ivan Petej, and Alex Gammerman | Protected probabilistic classification | 23 pages, 14 figures, and 4 tables | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a way of protecting probabilistic prediction models
against changes in the data distribution, concentrating on the case of
classification and paying particular attention to binary classification. This
is important in applications of machine learning, where the quality of a
trained prediction algor... | [
{
"created": "Sun, 4 Jul 2021 20:32:52 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Oct 2021 19:04:51 GMT",
"version": "v2"
}
] | 2021-10-26 | [
[
"Vovk",
"Vladimir",
""
],
[
"Petej",
"Ivan",
""
],
[
"Gammerman",
"Alex",
""
]
] | This paper proposes a way of protecting probabilistic prediction models against changes in the data distribution, concentrating on the case of classification and paying particular attention to binary classification. This is important in applications of machine learning, where the quality of a trained prediction algorit... |
2302.05889 | Yifei Wang | Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu | USER: Unsupervised Structural Entropy-based Robust Graph Neural Network | null | null | 10.1609/aaai.v37i8.26219 | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised/self-supervised graph neural networks (GNN) are vulnerable to
inherent randomness in the input graph data which greatly affects the
performance of the model in downstream tasks. In this paper, we alleviate the
interference of graph randomness and learn appropriate representations of nodes
without label i... | [
{
"created": "Sun, 12 Feb 2023 10:32:12 GMT",
"version": "v1"
}
] | 2023-08-14 | [
[
"Wang",
"Yifei",
""
],
[
"Wang",
"Yupan",
""
],
[
"Zhang",
"Zeyu",
""
],
[
"Yang",
"Song",
""
],
[
"Zhao",
"Kaiqi",
""
],
[
"Liu",
"Jiamou",
""
]
] | Unsupervised/self-supervised graph neural networks (GNN) are vulnerable to inherent randomness in the input graph data which greatly affects the performance of the model in downstream tasks. In this paper, we alleviate the interference of graph randomness and learn appropriate representations of nodes without label inf... |
2405.09550 | Jeongjin Shin | Jeongjin Shin | Mask-based Invisible Backdoor Attacks on Object Detection | 7 pages, 3 figures | null | null | null | cs.CV cs.AI cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning models have achieved unprecedented performance in the domain of
object detection, resulting in breakthroughs in areas such as autonomous
driving and security. However, deep learning models are vulnerable to backdoor
attacks. These attacks prompt models to behave similarly to standard models
without a tr... | [
{
"created": "Wed, 20 Mar 2024 12:27:30 GMT",
"version": "v1"
},
{
"created": "Fri, 24 May 2024 13:17:39 GMT",
"version": "v2"
},
{
"created": "Tue, 4 Jun 2024 11:28:42 GMT",
"version": "v3"
}
] | 2024-06-05 | [
[
"Shin",
"Jeongjin",
""
]
] | Deep learning models have achieved unprecedented performance in the domain of object detection, resulting in breakthroughs in areas such as autonomous driving and security. However, deep learning models are vulnerable to backdoor attacks. These attacks prompt models to behave similarly to standard models without a trig... |
2405.11267 | Yo\`av Montacute | Yo\`av Montacute and Glynn Winskel | Concurrent Games over Relational Structures: The Origin of Game Comonads | Extended version of the paper in Logic in Computer Science (LICS)
2024 Proceedings | null | null | null | cs.LO cs.PL math.CT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Spoiler-Duplicator games are used in finite model theory to examine the
expressive power of logics. Their strategies have recently been reformulated as
coKleisli maps of game comonads over relational structures, providing new
results in finite model theory via categorical techniques. We present a novel
framework for ... | [
{
"created": "Sat, 18 May 2024 11:34:05 GMT",
"version": "v1"
}
] | 2024-05-21 | [
[
"Montacute",
"Yoàv",
""
],
[
"Winskel",
"Glynn",
""
]
] | Spoiler-Duplicator games are used in finite model theory to examine the expressive power of logics. Their strategies have recently been reformulated as coKleisli maps of game comonads over relational structures, providing new results in finite model theory via categorical techniques. We present a novel framework for st... |
2205.00872 | Chen Xu | Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, and Chuangbai
Xiao | COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both
Party Personas | Accepted by SIGIR 2022, 11 pages, 9 figures | null | 10.1145/3477495.3531957 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Maintaining a consistent persona is essential for building a human-like
conversational model. However, the lack of attention to the partner makes the
model more egocentric: they tend to show their persona by all means such as
twisting the topic stiffly, pulling the conversation to their own interests
regardless, and ... | [
{
"created": "Mon, 2 May 2022 12:55:40 GMT",
"version": "v1"
},
{
"created": "Wed, 4 May 2022 16:26:23 GMT",
"version": "v2"
},
{
"created": "Sun, 15 May 2022 06:42:43 GMT",
"version": "v3"
}
] | 2022-05-17 | [
[
"Xu",
"Chen",
""
],
[
"Li",
"Piji",
""
],
[
"Wang",
"Wei",
""
],
[
"Yang",
"Haoran",
""
],
[
"Wang",
"Siyun",
""
],
[
"Xiao",
"Chuangbai",
""
]
] | Maintaining a consistent persona is essential for building a human-like conversational model. However, the lack of attention to the partner makes the model more egocentric: they tend to show their persona by all means such as twisting the topic stiffly, pulling the conversation to their own interests regardless, and ra... |
1803.02096 | Maarten Bieshaar | G\"unther Reitberger and Stefan Zernetsch and Maarten Bieshaar and
Bernhard Sick and Konrad Doll and Erich Fuchs | Cooperative Tracking of Cyclists Based on Smart Devices and
Infrastructure | 7 pages, 6 figures. submitted (accepted for publication) IEEE
Conference on Intelligent Transportation Systems(ITSC) 2018, Maui, HI | null | null | null | cs.CY cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In future traffic scenarios, vehicles and other traffic participants will be
interconnected and equipped with various types of sensors, allowing for
cooperation based on data or information exchange. This article presents an
approach to cooperative tracking of cyclists using smart devices and
infrastructure-based sen... | [
{
"created": "Tue, 6 Mar 2018 10:33:35 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Jul 2018 08:13:51 GMT",
"version": "v2"
}
] | 2018-07-04 | [
[
"Reitberger",
"Günther",
""
],
[
"Zernetsch",
"Stefan",
""
],
[
"Bieshaar",
"Maarten",
""
],
[
"Sick",
"Bernhard",
""
],
[
"Doll",
"Konrad",
""
],
[
"Fuchs",
"Erich",
""
]
] | In future traffic scenarios, vehicles and other traffic participants will be interconnected and equipped with various types of sensors, allowing for cooperation based on data or information exchange. This article presents an approach to cooperative tracking of cyclists using smart devices and infrastructure-based senso... |
2405.01646 | Alessio Xompero | Alessio Xompero, Myriam Bontonou, Jean-Michel Arbona, Emmanouil
Benetos, Andrea Cavallaro | Explaining models relating objects and privacy | 7 pages, 3 figures, 1 table, supplementary material included as
Appendix. Paper accepted at the 3rd XAI4CV Workshop at CVPR 2024. Code:
https://github.com/graphnex/ig-privacy | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Accurately predicting whether an image is private before sharing it online is
difficult due to the vast variety of content and the subjective nature of
privacy itself. In this paper, we evaluate privacy models that use objects
extracted from an image to determine why the image is predicted as private. To
explain the ... | [
{
"created": "Thu, 2 May 2024 18:06:48 GMT",
"version": "v1"
}
] | 2024-05-06 | [
[
"Xompero",
"Alessio",
""
],
[
"Bontonou",
"Myriam",
""
],
[
"Arbona",
"Jean-Michel",
""
],
[
"Benetos",
"Emmanouil",
""
],
[
"Cavallaro",
"Andrea",
""
]
] | Accurately predicting whether an image is private before sharing it online is difficult due to the vast variety of content and the subjective nature of privacy itself. In this paper, we evaluate privacy models that use objects extracted from an image to determine why the image is predicted as private. To explain the de... |
2106.11033 | Stephan Stahlschmidt | Axel Oberschelp, Stephan Stahlschmidt | Gr\"o{\ss}e als Erfolgsgarant? Zur Bedeutung der Organisationstruktur
f\"ur die Einwerbung von Drittmitteln der Deutschen Forschungsgemeinschaft | in German | null | null | null | cs.CY physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Research funding through third-party financing is of considerable importance
for the German science system. The funds of the German Research Foundation
(DFG) serve as the central focus due to the high reputation of the foundation.
However, it has not been clarified yet to what extent the chances of
successfully acqui... | [
{
"created": "Thu, 3 Jun 2021 08:47:34 GMT",
"version": "v1"
}
] | 2021-06-22 | [
[
"Oberschelp",
"Axel",
""
],
[
"Stahlschmidt",
"Stephan",
""
]
] | Research funding through third-party financing is of considerable importance for the German science system. The funds of the German Research Foundation (DFG) serve as the central focus due to the high reputation of the foundation. However, it has not been clarified yet to what extent the chances of successfully acquiri... |
2107.02112 | Meng-Jiun Chiou | Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger
Zimmermann, Jiashi Feng | Recovering the Unbiased Scene Graphs from the Biased Ones | Accepted by ACMMM 2021. Source code will be available at
https://github.com/coldmanck/recovering-unbiased-scene-graphs | null | null | null | cs.CV cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given input images, scene graph generation (SGG) aims to produce
comprehensive, graphical representations describing visual relationships among
salient objects. Recently, more efforts have been paid to the long tail problem
in SGG; however, the imbalance in the fraction of missing labels of different
classes, or repo... | [
{
"created": "Mon, 5 Jul 2021 16:10:41 GMT",
"version": "v1"
}
] | 2021-07-06 | [
[
"Chiou",
"Meng-Jiun",
""
],
[
"Ding",
"Henghui",
""
],
[
"Yan",
"Hanshu",
""
],
[
"Wang",
"Changhu",
""
],
[
"Zimmermann",
"Roger",
""
],
[
"Feng",
"Jiashi",
""
]
] | Given input images, scene graph generation (SGG) aims to produce comprehensive, graphical representations describing visual relationships among salient objects. Recently, more efforts have been paid to the long tail problem in SGG; however, the imbalance in the fraction of missing labels of different classes, or report... |
2401.10226 | Xiangtai Li Dr | Jianzong Wu, Xiangtai Li, Chenyang Si, Shangchen Zhou, Jingkang Yang,
Jiangning Zhang, Yining Li, Kai Chen, Yunhai Tong, Ziwei Liu, Chen Change Loy | Towards Language-Driven Video Inpainting via Multimodal Large Language
Models | Project Page: https://jianzongwu.github.io/projects/rovi | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new task -- language-driven video inpainting, which uses
natural language instructions to guide the inpainting process. This approach
overcomes the limitations of traditional video inpainting methods that depend
on manually labeled binary masks, a process often tedious and labor-intensive.
We present t... | [
{
"created": "Thu, 18 Jan 2024 18:59:13 GMT",
"version": "v1"
}
] | 2024-01-19 | [
[
"Wu",
"Jianzong",
""
],
[
"Li",
"Xiangtai",
""
],
[
"Si",
"Chenyang",
""
],
[
"Zhou",
"Shangchen",
""
],
[
"Yang",
"Jingkang",
""
],
[
"Zhang",
"Jiangning",
""
],
[
"Li",
"Yining",
""
],
[
"Chen",
... | We introduce a new task -- language-driven video inpainting, which uses natural language instructions to guide the inpainting process. This approach overcomes the limitations of traditional video inpainting methods that depend on manually labeled binary masks, a process often tedious and labor-intensive. We present the... |
2011.06253 | Avraham. Trahtman N | A.N.Trahtman | Precise estimation on the order of local testability of deterministic
finite automaton | 15 pages | null | null | null | cs.FL | http://creativecommons.org/licenses/by/4.0/ | A locally testable language L is a language with the property that for some
non negative integer k, called the order or the level of local testable,
whether or not a word u in the language L depends on (1) the prefix and the
suffix of the word u of length k-1 and (2) the set of intermediate partial
strings of length ... | [
{
"created": "Thu, 12 Nov 2020 08:18:02 GMT",
"version": "v1"
}
] | 2020-11-13 | [
[
"Trahtman",
"A. N.",
""
]
] | A locally testable language L is a language with the property that for some non negative integer k, called the order or the level of local testable, whether or not a word u in the language L depends on (1) the prefix and the suffix of the word u of length k-1 and (2) the set of intermediate partial strings of length k ... |
2007.09186 | Kristjan Arumae | Parminder Bhatia, Lan Liu, Kristjan Arumae, Nima Pourdamghani, Suyog
Deshpande, Ben Snively, Mona Mona, Colby Wise, George Price, Shyam Ramaswamy,
Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang, Taha Kass-Hout | AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature | null | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Coronavirus disease (COVID-19) has been declared as a pandemic by WHO with
thousands of cases being reported each day. Numerous scientific articles are
being published on the disease raising the need for a service which can
organize, and query them in a reliable fashion. To support this cause we
present AWS CORD-19 S... | [
{
"created": "Fri, 17 Jul 2020 18:41:29 GMT",
"version": "v1"
},
{
"created": "Sat, 25 Jul 2020 01:38:58 GMT",
"version": "v2"
},
{
"created": "Wed, 7 Oct 2020 05:59:53 GMT",
"version": "v3"
}
] | 2020-10-08 | [
[
"Bhatia",
"Parminder",
""
],
[
"Liu",
"Lan",
""
],
[
"Arumae",
"Kristjan",
""
],
[
"Pourdamghani",
"Nima",
""
],
[
"Deshpande",
"Suyog",
""
],
[
"Snively",
"Ben",
""
],
[
"Mona",
"Mona",
""
],
[
"Wi... | Coronavirus disease (COVID-19) has been declared as a pandemic by WHO with thousands of cases being reported each day. Numerous scientific articles are being published on the disease raising the need for a service which can organize, and query them in a reliable fashion. To support this cause we present AWS CORD-19 Sea... |
2303.06844 | Kijung Lee | Kijung Lee | Why do Tweeters regret sharing? Impacts of Twitter users' perception of
sharing risk, perceived problems on Twitter, and the motivation of use on
their behavior of regret sharing | null | null | null | null | cs.SI cs.HC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This study presents a secondary data analysis of the survey data collected as
part of the American Trends Panel series by the Pew Research Center. A logistic
regression was performed to ascertain the effects of the perceived risk of
sharing, perceived problems on Twitter, and motivation of using Twitter on the
likeli... | [
{
"created": "Mon, 13 Mar 2023 04:20:37 GMT",
"version": "v1"
}
] | 2023-03-14 | [
[
"Lee",
"Kijung",
""
]
] | This study presents a secondary data analysis of the survey data collected as part of the American Trends Panel series by the Pew Research Center. A logistic regression was performed to ascertain the effects of the perceived risk of sharing, perceived problems on Twitter, and motivation of using Twitter on the likeliho... |
1703.02002 | Md Mizanur Rahman | Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau | FairPlay: Fraud and Malware Detection in Google Play | Proceedings of the 2016 SIAM International Conference on Data Mining.
Society for Industrial and Applied Mathematics, 2016 | null | null | null | cs.SI cs.CR cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fraudulent behaviors in Google Android app market fuel search rank abuse and
malware proliferation. We present FairPlay, a novel system that uncovers both
malware and search rank fraud apps, by picking out trails that fraudsters leave
behind. To identify suspicious apps, FairPlay PCF algorithm correlates review
activ... | [
{
"created": "Mon, 6 Mar 2017 17:51:16 GMT",
"version": "v1"
}
] | 2017-03-07 | [
[
"Rahman",
"Mahmudur",
""
],
[
"Rahman",
"Mizanur",
""
],
[
"Carbunar",
"Bogdan",
""
],
[
"Chau",
"Duen Horng",
""
]
] | Fraudulent behaviors in Google Android app market fuel search rank abuse and malware proliferation. We present FairPlay, a novel system that uncovers both malware and search rank fraud apps, by picking out trails that fraudsters leave behind. To identify suspicious apps, FairPlay PCF algorithm correlates review activit... |
1904.10158 | Sasinee Pruekprasert | Sasinee Pruekprasert, Xiaoyi Zhang, J\'er\'emy Dubut, Chao Huang,
Masako Kishida | Decision Making for Autonomous Vehicles at Unsignalized Intersection in
Presence of Malicious Vehicles | IEEE Conference on Intelligent Transportation Systems (ITSC), 2019 | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we investigate the decision making of autonomous vehicles in
an unsignalized intersection in presence of malicious vehicles, which are
vehicles that do not respect the law by not using the proper rules of the right
of way. Each vehicle computes its control input as a Nash equilibrium of a game
determin... | [
{
"created": "Tue, 23 Apr 2019 05:38:25 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Oct 2019 22:35:00 GMT",
"version": "v2"
}
] | 2019-10-07 | [
[
"Pruekprasert",
"Sasinee",
""
],
[
"Zhang",
"Xiaoyi",
""
],
[
"Dubut",
"Jérémy",
""
],
[
"Huang",
"Chao",
""
],
[
"Kishida",
"Masako",
""
]
] | In this paper, we investigate the decision making of autonomous vehicles in an unsignalized intersection in presence of malicious vehicles, which are vehicles that do not respect the law by not using the proper rules of the right of way. Each vehicle computes its control input as a Nash equilibrium of a game determined... |
1807.01864 | Wei Ao | Wei Ao, Yanwei Fu and Feng Xu | Detecting Tiny Moving Vehicles in Satellite Videos | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, the satellite videos have been captured by a moving
satellite platform. In contrast to consumer, movie, and common surveillance
videos, satellite video can record the snapshot of the city-scale scene. In a
broad field-of-view of satellite videos, each moving target would be very tiny
and usually comp... | [
{
"created": "Thu, 5 Jul 2018 06:46:31 GMT",
"version": "v1"
}
] | 2018-07-06 | [
[
"Ao",
"Wei",
""
],
[
"Fu",
"Yanwei",
""
],
[
"Xu",
"Feng",
""
]
] | In recent years, the satellite videos have been captured by a moving satellite platform. In contrast to consumer, movie, and common surveillance videos, satellite video can record the snapshot of the city-scale scene. In a broad field-of-view of satellite videos, each moving target would be very tiny and usually compos... |
2107.02547 | Cheng Chu | Dawen Xu, Cheng Chu, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li,
Kwang-Ting Cheng | Energy-Efficient Accelerator Design for Deformable Convolution Networks | null | null | null | null | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deformable convolution networks (DCNs) proposed to address the image
recognition with geometric or photometric variations typically involve
deformable convolution that convolves on arbitrary locations of input features.
The locations change with different inputs and induce considerable dynamic and
irregular memory ac... | [
{
"created": "Tue, 6 Jul 2021 11:26:33 GMT",
"version": "v1"
}
] | 2021-07-07 | [
[
"Xu",
"Dawen",
""
],
[
"Chu",
"Cheng",
""
],
[
"Liu",
"Cheng",
""
],
[
"Wang",
"Ying",
""
],
[
"Li",
"Huawei",
""
],
[
"Li",
"Xiaowei",
""
],
[
"Cheng",
"Kwang-Ting",
""
]
] | Deformable convolution networks (DCNs) proposed to address the image recognition with geometric or photometric variations typically involve deformable convolution that convolves on arbitrary locations of input features. The locations change with different inputs and induce considerable dynamic and irregular memory acce... |
2401.13716 | Vibeke Binz Vallevik Mrs | Vibeke Binz Vallevik, Aleksandar Babic, Serena Elizabeth Marshall,
Severin Elvatun, Helga Br{\o}gger, Sharmini Alagaratnam, Bj{\o}rn Edwin,
Narasimha Raghavan Veeraragavan, Anne Kjersti Befring, Jan Franz Nyg{\aa}rd | Can I trust my fake data -- A comprehensive quality assessment framework
for synthetic tabular data in healthcare | null | Int. J. Med. Inform.185 (2024) | 10.1016/j.ijmedinf.2024.105413 | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Ensuring safe adoption of AI tools in healthcare hinges on access to
sufficient data for training, testing and validation. In response to privacy
concerns and regulatory requirements, using synthetic data has been suggested.
Synthetic data is created by training a generator on real data to produce a
dataset with simi... | [
{
"created": "Wed, 24 Jan 2024 08:14:20 GMT",
"version": "v1"
}
] | 2024-04-19 | [
[
"Vallevik",
"Vibeke Binz",
""
],
[
"Babic",
"Aleksandar",
""
],
[
"Marshall",
"Serena Elizabeth",
""
],
[
"Elvatun",
"Severin",
""
],
[
"Brøgger",
"Helga",
""
],
[
"Alagaratnam",
"Sharmini",
""
],
[
"Edwin",
"B... | Ensuring safe adoption of AI tools in healthcare hinges on access to sufficient data for training, testing and validation. In response to privacy concerns and regulatory requirements, using synthetic data has been suggested. Synthetic data is created by training a generator on real data to produce a dataset with simila... |
1606.03248 | ShenChen Ruan | Shenchen Ruan, Haixia Wang and Dongsheng Wang | MAC: a novel systematically multilevel cache replacement policy for PCM
memory | null | null | null | null | cs.AR cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rapid development of multi-core system and increase of data-intensive
application in recent years call for larger main memory. Traditional DRAM
memory can increase its capacity by reducing the feature size of storage cell.
Now further scaling of DRAM faces great challenge, and the frequent refresh
operations of D... | [
{
"created": "Fri, 10 Jun 2016 09:47:14 GMT",
"version": "v1"
}
] | 2016-06-13 | [
[
"Ruan",
"Shenchen",
""
],
[
"Wang",
"Haixia",
""
],
[
"Wang",
"Dongsheng",
""
]
] | The rapid development of multi-core system and increase of data-intensive application in recent years call for larger main memory. Traditional DRAM memory can increase its capacity by reducing the feature size of storage cell. Now further scaling of DRAM faces great challenge, and the frequent refresh operations of DRA... |
1702.05977 | Jos\'e Mairton Barros da Silva J\'unior | Jose Mairton B. da Silva Jr., Gabor Fodor, Carlo Fischione | On the Spectral Efficiency and Fairness in Full-Duplex Cellular Networks | 6 pages, 4 figures, accepted in IEEE ICC 2017. arXiv admin note: text
overlap with arXiv:1603.00671 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To increase the spectral efficiency of wireless networks without requiring
full-duplex capability of user devices, a potential solution is the recently
proposed three-node full-duplex mode. To realize this potential, networks
employing three-node full-duplex transmissions must deal with self-interference
and user-to-... | [
{
"created": "Mon, 20 Feb 2017 14:10:19 GMT",
"version": "v1"
}
] | 2017-02-25 | [
[
"Silva",
"Jose Mairton B. da",
"Jr."
],
[
"Fodor",
"Gabor",
""
],
[
"Fischione",
"Carlo",
""
]
] | To increase the spectral efficiency of wireless networks without requiring full-duplex capability of user devices, a potential solution is the recently proposed three-node full-duplex mode. To realize this potential, networks employing three-node full-duplex transmissions must deal with self-interference and user-to-us... |
1304.6146 | Marc Killpack | Advait Jain, Marc D. Killpack, Aaron Edsinger, Charles C. Kemp | Manipulation in Clutter with Whole-Arm Tactile Sensing | This is the first version of a paper that we submitted to the
International Journal of Robotics Research on December 31, 2011 and uploaded
to our website on January 16, 2012 | The International Journal of Robotics Research April 2013 vol. 32
no. 4 pg. 458-482 | 10.1177/0278364912471865 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We begin this paper by presenting our approach to robot manipulation, which
emphasizes the benefits of making contact with the world across the entire
manipulator. We assume that low contact forces are benign, and focus on the
development of robots that can control their contact forces during
goal-directed motion. In... | [
{
"created": "Tue, 23 Apr 2013 01:40:46 GMT",
"version": "v1"
}
] | 2013-04-24 | [
[
"Jain",
"Advait",
""
],
[
"Killpack",
"Marc D.",
""
],
[
"Edsinger",
"Aaron",
""
],
[
"Kemp",
"Charles C.",
""
]
] | We begin this paper by presenting our approach to robot manipulation, which emphasizes the benefits of making contact with the world across the entire manipulator. We assume that low contact forces are benign, and focus on the development of robots that can control their contact forces during goal-directed motion. Insp... |
1805.08498 | Michael Figurnov | Michael Figurnov, Shakir Mohamed, Andriy Mnih | Implicit Reparameterization Gradients | NeurIPS 2018 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | By providing a simple and efficient way of computing low-variance gradients
of continuous random variables, the reparameterization trick has become the
technique of choice for training a variety of latent variable models. However,
it is not applicable to a number of important continuous distributions. We
introduce an... | [
{
"created": "Tue, 22 May 2018 11:00:19 GMT",
"version": "v1"
},
{
"created": "Fri, 1 Jun 2018 12:38:04 GMT",
"version": "v2"
},
{
"created": "Thu, 1 Nov 2018 17:49:12 GMT",
"version": "v3"
},
{
"created": "Wed, 30 Jan 2019 15:24:42 GMT",
"version": "v4"
}
] | 2019-01-31 | [
[
"Figurnov",
"Michael",
""
],
[
"Mohamed",
"Shakir",
""
],
[
"Mnih",
"Andriy",
""
]
] | By providing a simple and efficient way of computing low-variance gradients of continuous random variables, the reparameterization trick has become the technique of choice for training a variety of latent variable models. However, it is not applicable to a number of important continuous distributions. We introduce an a... |
2006.05158 | Liangzu Peng | Liangzu Peng and Manolis C. Tsakiris | Homomorphic Sensing of Subspace Arrangements | 18 pages | Applied and Computational Harmonic Analysis, 55, 466-485 (2021) | 10.1016/j.acha.2021.06.008 | null | cs.LG math.AG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Homomorphic sensing is a recent algebraic-geometric framework that studies
the unique recovery of points in a linear subspace from their images under a
given collection of linear maps. It has been successful in interpreting such a
recovery in the case of permutations composed by coordinate projections, an
important i... | [
{
"created": "Tue, 9 Jun 2020 09:52:15 GMT",
"version": "v1"
},
{
"created": "Wed, 30 Dec 2020 03:27:36 GMT",
"version": "v2"
},
{
"created": "Tue, 1 Jun 2021 06:36:14 GMT",
"version": "v3"
},
{
"created": "Mon, 19 Sep 2022 14:13:47 GMT",
"version": "v4"
}
] | 2022-09-20 | [
[
"Peng",
"Liangzu",
""
],
[
"Tsakiris",
"Manolis C.",
""
]
] | Homomorphic sensing is a recent algebraic-geometric framework that studies the unique recovery of points in a linear subspace from their images under a given collection of linear maps. It has been successful in interpreting such a recovery in the case of permutations composed by coordinate projections, an important ins... |
2211.05229 | Rajdeep Adak | Rajdeep Adak, Abhishek Kumbhar, Rajas Pathare, Sagar Gowda | Automatic Number Plate Recognition (ANPR) with YOLOv3-CNN | 29 pages, 4 figures, 2 tables | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a YOLOv3-CNN pipeline for detecting vehicles, segregation of
number plates, and local storage of final recognized characters. Vehicle
identification is performed under various image correction schemes to determine
the effect of environmental factors (angle of perception, luminosity,
motion-blurring, and mu... | [
{
"created": "Mon, 7 Nov 2022 12:59:01 GMT",
"version": "v1"
}
] | 2022-11-11 | [
[
"Adak",
"Rajdeep",
""
],
[
"Kumbhar",
"Abhishek",
""
],
[
"Pathare",
"Rajas",
""
],
[
"Gowda",
"Sagar",
""
]
] | We present a YOLOv3-CNN pipeline for detecting vehicles, segregation of number plates, and local storage of final recognized characters. Vehicle identification is performed under various image correction schemes to determine the effect of environmental factors (angle of perception, luminosity, motion-blurring, and mult... |
1412.0879 | Sean Gallagher | Sean Gallagher, Wlodek Zadrozny, Walid Shalaby, Adarsh Avadhani | Watsonsim: Overview of a Question Answering Engine | null | null | null | null | cs.CL cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The objective of the project is to design and run a system similar to Watson,
designed to answer Jeopardy questions. In the course of a semester, we
developed an open source question answering system using the Indri, Lucene,
Bing and Google search engines, Apache UIMA, Open- and CoreNLP, and Weka among
additional mod... | [
{
"created": "Tue, 2 Dec 2014 12:15:18 GMT",
"version": "v1"
}
] | 2014-12-03 | [
[
"Gallagher",
"Sean",
""
],
[
"Zadrozny",
"Wlodek",
""
],
[
"Shalaby",
"Walid",
""
],
[
"Avadhani",
"Adarsh",
""
]
] | The objective of the project is to design and run a system similar to Watson, designed to answer Jeopardy questions. In the course of a semester, we developed an open source question answering system using the Indri, Lucene, Bing and Google search engines, Apache UIMA, Open- and CoreNLP, and Weka among additional modul... |
2211.15382 | Tim Whittaker | Tim Whittaker, Romuald A. Janik, Yaron Oz | Neural Network Complexity of Chaos and Turbulence | null | Eur. Phys. J. E 46, 57 (2023) | 10.1140/epje/s10189-023-00321-7 | null | cs.LG hep-th nlin.CD physics.flu-dyn | http://creativecommons.org/licenses/by/4.0/ | Chaos and turbulence are complex physical phenomena, yet a precise definition
of the complexity measure that quantifies them is still lacking. In this work
we consider the relative complexity of chaos and turbulence from the
perspective of deep neural networks. We analyze a set of classification
problems, where the n... | [
{
"created": "Thu, 24 Nov 2022 13:21:36 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Jul 2023 12:18:49 GMT",
"version": "v2"
}
] | 2023-07-21 | [
[
"Whittaker",
"Tim",
""
],
[
"Janik",
"Romuald A.",
""
],
[
"Oz",
"Yaron",
""
]
] | Chaos and turbulence are complex physical phenomena, yet a precise definition of the complexity measure that quantifies them is still lacking. In this work we consider the relative complexity of chaos and turbulence from the perspective of deep neural networks. We analyze a set of classification problems, where the net... |
2111.11720 | Xingkai Zheng | Xingkai Zheng, Xirui Li, Ke Xu, Xinghao Jiang, Tanfeng Sun | Gait Identification under Surveillance Environment based on Human
Skeleton | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | As an emerging biological identification technology, vision-based gait
identification is an important research content in biometrics. Most existing
gait identification methods extract features from gait videos and identify a
probe sample by a query in the gallery. However, video data contains redundant
information an... | [
{
"created": "Tue, 23 Nov 2021 08:30:26 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Nov 2021 14:43:51 GMT",
"version": "v2"
}
] | 2021-11-25 | [
[
"Zheng",
"Xingkai",
""
],
[
"Li",
"Xirui",
""
],
[
"Xu",
"Ke",
""
],
[
"Jiang",
"Xinghao",
""
],
[
"Sun",
"Tanfeng",
""
]
] | As an emerging biological identification technology, vision-based gait identification is an important research content in biometrics. Most existing gait identification methods extract features from gait videos and identify a probe sample by a query in the gallery. However, video data contains redundant information and ... |
2202.12093 | Qinghua Zhao | Qinghua Zhao, Shuai Ma, Shuo Ren | KESA: A Knowledge Enhanced Approach For Sentiment Analysis | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Though some recent works focus on injecting sentiment knowledge into
pre-trained language models, they usually design mask and reconstruction tasks
in the post-training phase. In this paper, we aim to benefit from sentiment
knowledge in a lighter way. To achieve this goal, we study sentence-level
sentiment analysis a... | [
{
"created": "Thu, 24 Feb 2022 13:21:27 GMT",
"version": "v1"
}
] | 2022-02-25 | [
[
"Zhao",
"Qinghua",
""
],
[
"Ma",
"Shuai",
""
],
[
"Ren",
"Shuo",
""
]
] | Though some recent works focus on injecting sentiment knowledge into pre-trained language models, they usually design mask and reconstruction tasks in the post-training phase. In this paper, we aim to benefit from sentiment knowledge in a lighter way. To achieve this goal, we study sentence-level sentiment analysis and... |
2206.01812 | Andrew Li | Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A.
McIlraith | Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks | null | null | null | null | cs.LG cs.AI cs.RO | http://creativecommons.org/licenses/by/4.0/ | Deep reinforcement learning has shown promise in discrete domains requiring
complex reasoning, including games such as Chess, Go, and Hanabi. However, this
type of reasoning is less often observed in long-horizon, continuous domains
with high-dimensional observations, where instead RL research has predominantly
focus... | [
{
"created": "Fri, 3 Jun 2022 20:38:27 GMT",
"version": "v1"
}
] | 2022-06-07 | [
[
"Li",
"Andrew C.",
""
],
[
"Vaezipoor",
"Pashootan",
""
],
[
"Icarte",
"Rodrigo Toro",
""
],
[
"McIlraith",
"Sheila A.",
""
]
] | Deep reinforcement learning has shown promise in discrete domains requiring complex reasoning, including games such as Chess, Go, and Hanabi. However, this type of reasoning is less often observed in long-horizon, continuous domains with high-dimensional observations, where instead RL research has predominantly focused... |
1604.00794 | Pramod Bhatotia | Pramod Bhatotia | Asymptotic Analysis of Self-Adjusting Contraction Trees | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we present asymptotic analysis of self-adjusting contraction
trees for incremental sliding window analytics.
| [
{
"created": "Mon, 4 Apr 2016 09:55:06 GMT",
"version": "v1"
}
] | 2016-04-05 | [
[
"Bhatotia",
"Pramod",
""
]
] | In this paper, we present asymptotic analysis of self-adjusting contraction trees for incremental sliding window analytics. |
2306.12686 | Yu Zhang | Yu Zhang, Hao Zeng, Bowen Ma, Wei Zhang, Zhimeng Zhang, Yu Ding,
Tangjie Lv, Changjie Fan | FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping | arXiv admin note: text overlap with arXiv:2212.02797 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work proposes a novel face-swapping framework FlowFace++, utilizing
explicit semantic flow supervision and end-to-end architecture to facilitate
shape-aware face-swapping. Specifically, our work pretrains a facial shape
discriminator to supervise the face swapping network. The discriminator is
shape-aware and re... | [
{
"created": "Thu, 22 Jun 2023 06:18:29 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Jun 2023 05:11:17 GMT",
"version": "v2"
}
] | 2023-06-27 | [
[
"Zhang",
"Yu",
""
],
[
"Zeng",
"Hao",
""
],
[
"Ma",
"Bowen",
""
],
[
"Zhang",
"Wei",
""
],
[
"Zhang",
"Zhimeng",
""
],
[
"Ding",
"Yu",
""
],
[
"Lv",
"Tangjie",
""
],
[
"Fan",
"Changjie",
""
... | This work proposes a novel face-swapping framework FlowFace++, utilizing explicit semantic flow supervision and end-to-end architecture to facilitate shape-aware face-swapping. Specifically, our work pretrains a facial shape discriminator to supervise the face swapping network. The discriminator is shape-aware and reli... |
2310.16656 | Dani Valevski | Eyal Segalis, Dani Valevski, Danny Lumen, Yossi Matias, Yaniv
Leviathan | A Picture is Worth a Thousand Words: Principled Recaptioning Improves
Image Generation | null | null | null | null | cs.CV cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Text-to-image diffusion models achieved a remarkable leap in capabilities
over the last few years, enabling high-quality and diverse synthesis of images
from a textual prompt. However, even the most advanced models often struggle to
precisely follow all of the directions in their prompts. The vast majority of
these m... | [
{
"created": "Wed, 25 Oct 2023 14:10:08 GMT",
"version": "v1"
}
] | 2023-10-26 | [
[
"Segalis",
"Eyal",
""
],
[
"Valevski",
"Dani",
""
],
[
"Lumen",
"Danny",
""
],
[
"Matias",
"Yossi",
""
],
[
"Leviathan",
"Yaniv",
""
]
] | Text-to-image diffusion models achieved a remarkable leap in capabilities over the last few years, enabling high-quality and diverse synthesis of images from a textual prompt. However, even the most advanced models often struggle to precisely follow all of the directions in their prompts. The vast majority of these mod... |
1111.4898 | Vijesh M | Vijesh M., Sudarshan Iyengar, Vijay Mahantesh, Amitash Ramesh, Veni
Madhavan | A Navigation Algorithm Inspired by Human Navigation | Human Navigation, Path Concatenation, Hotspots, Center Strategic
Paths, Approximation Algorithm | null | null | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human navigation has been a topic of interest in spatial cognition from the
past few decades. It has been experimentally observed that humans accomplish
the task of way-finding a destination in an unknown environment by recognizing
landmarks. Investigations using network analytic techniques reveal that humans,
when a... | [
{
"created": "Mon, 21 Nov 2011 15:37:15 GMT",
"version": "v1"
}
] | 2011-11-22 | [
[
"M.",
"Vijesh",
""
],
[
"Iyengar",
"Sudarshan",
""
],
[
"Mahantesh",
"Vijay",
""
],
[
"Ramesh",
"Amitash",
""
],
[
"Madhavan",
"Veni",
""
]
] | Human navigation has been a topic of interest in spatial cognition from the past few decades. It has been experimentally observed that humans accomplish the task of way-finding a destination in an unknown environment by recognizing landmarks. Investigations using network analytic techniques reveal that humans, when ask... |
2205.08685 | Jinwei Xing | Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L.
Krichmar | Policy Distillation with Selective Input Gradient Regularization for
Efficient Interpretability | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Although deep Reinforcement Learning (RL) has proven successful in a wide
range of tasks, one challenge it faces is interpretability when applied to
real-world problems. Saliency maps are frequently used to provide
interpretability for deep neural networks. However, in the RL domain, existing
saliency map approaches ... | [
{
"created": "Wed, 18 May 2022 01:47:16 GMT",
"version": "v1"
}
] | 2022-05-19 | [
[
"Xing",
"Jinwei",
""
],
[
"Nagata",
"Takashi",
""
],
[
"Zou",
"Xinyun",
""
],
[
"Neftci",
"Emre",
""
],
[
"Krichmar",
"Jeffrey L.",
""
]
] | Although deep Reinforcement Learning (RL) has proven successful in a wide range of tasks, one challenge it faces is interpretability when applied to real-world problems. Saliency maps are frequently used to provide interpretability for deep neural networks. However, in the RL domain, existing saliency map approaches ar... |
1908.00418 | Yang Xin | Hui Li, Jiangxing Wu, Xin Yang, Han Wang, Julong Lan, Ke Xu, Yunyong
Zhang, Jinwu Wei, Shisheng Chen, Wei Liang, Fusheng Zhu, Yiqin Lu, Wai Ho
Mow, Yeung Wai-Ho, Zefeng Zheng, Peng Yi, Xinsheng Ji, Qinrang Liu, Wei Li,
Kaiyan Tian, Jiang Zhu, Jiaxing Song, Yijun Liu, Junfeng Ma, Jiawei Hu, Rui
Xu, Jiansen Huang... | MIN: Co-Governing Multi-Identifier Network Architecture and its
Prototype on Operator's Network | 13 pages | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | IP protocol is the core of TCP/IP network layer. However, since IP address
and its Domain Name are allocated and managed by a single agency, there are
risks of centralization. The semantic overload of IP address also reduces its
scalability and mobility, which further hinders the security.
This paper proposes a co-... | [
{
"created": "Thu, 1 Aug 2019 14:12:27 GMT",
"version": "v1"
}
] | 2019-08-02 | [
[
"Li",
"Hui",
""
],
[
"Wu",
"Jiangxing",
""
],
[
"Yang",
"Xin",
""
],
[
"Wang",
"Han",
""
],
[
"Lan",
"Julong",
""
],
[
"Xu",
"Ke",
""
],
[
"Zhang",
"Yunyong",
""
],
[
"Wei",
"Jinwu",
""
],... | IP protocol is the core of TCP/IP network layer. However, since IP address and its Domain Name are allocated and managed by a single agency, there are risks of centralization. The semantic overload of IP address also reduces its scalability and mobility, which further hinders the security. This paper proposes a co-gove... |
2003.00946 | Piotr Kicki | Piotr Kicki, Tomasz Gawron, Piotr Skrzypczy\'nski | A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like
Vehicles Maneuvering in Urban Environment | null | null | null | null | cs.RO cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An efficient path planner for autonomous car-like vehicles should handle the
strong kinematic constraints, particularly in confined spaces commonly
encountered while maneuvering in city traffic, and should enable rapid
planning, as the city traffic scenarios are highly dynamic. State-of-the-art
planning algorithms ha... | [
{
"created": "Mon, 2 Mar 2020 14:48:29 GMT",
"version": "v1"
}
] | 2020-03-03 | [
[
"Kicki",
"Piotr",
""
],
[
"Gawron",
"Tomasz",
""
],
[
"Skrzypczyński",
"Piotr",
""
]
] | An efficient path planner for autonomous car-like vehicles should handle the strong kinematic constraints, particularly in confined spaces commonly encountered while maneuvering in city traffic, and should enable rapid planning, as the city traffic scenarios are highly dynamic. State-of-the-art planning algorithms hand... |
1912.07447 | Nian Xue | Zhen Li, Hanyang Shao, Nian Xue, Liang Niu and LiangLiang Cao | Progressive Learning Algorithm for Efficient Person Re-Identification | ICPR2020 | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper studies the problem of Person Re-Identification (ReID)for
large-scale applications. Recent research efforts have been devoted to building
complicated part models, which introduce considerably high computational cost
and memory consumption, inhibiting its practicability in large-scale
applications. This pap... | [
{
"created": "Mon, 16 Dec 2019 15:32:01 GMT",
"version": "v1"
},
{
"created": "Mon, 23 Nov 2020 22:08:16 GMT",
"version": "v2"
}
] | 2020-11-25 | [
[
"Li",
"Zhen",
""
],
[
"Shao",
"Hanyang",
""
],
[
"Xue",
"Nian",
""
],
[
"Niu",
"Liang",
""
],
[
"Cao",
"LiangLiang",
""
]
] | This paper studies the problem of Person Re-Identification (ReID)for large-scale applications. Recent research efforts have been devoted to building complicated part models, which introduce considerably high computational cost and memory consumption, inhibiting its practicability in large-scale applications. This paper... |
1609.03205 | Ella Rabinovich | Ella Rabinovich and Shuly Wintner | Unsupervised Identification of Translationese | TACL2015, 14 pages | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Translated texts are distinctively different from original ones, to the
extent that supervised text classification methods can distinguish between them
with high accuracy. These differences were proven useful for statistical
machine translation. However, it has been suggested that the accuracy of
translation detectio... | [
{
"created": "Sun, 11 Sep 2016 19:52:28 GMT",
"version": "v1"
}
] | 2016-09-13 | [
[
"Rabinovich",
"Ella",
""
],
[
"Wintner",
"Shuly",
""
]
] | Translated texts are distinctively different from original ones, to the extent that supervised text classification methods can distinguish between them with high accuracy. These differences were proven useful for statistical machine translation. However, it has been suggested that the accuracy of translation detection ... |
1811.03531 | Zachary Charles | Zachary Charles, Harrison Rosenberg, Dimitris Papailiopoulos | A Geometric Perspective on the Transferability of Adversarial Directions | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | State-of-the-art machine learning models frequently misclassify inputs that
have been perturbed in an adversarial manner. Adversarial perturbations
generated for a given input and a specific classifier often seem to be
effective on other inputs and even different classifiers. In other words,
adversarial perturbations... | [
{
"created": "Thu, 8 Nov 2018 16:23:50 GMT",
"version": "v1"
}
] | 2018-11-09 | [
[
"Charles",
"Zachary",
""
],
[
"Rosenberg",
"Harrison",
""
],
[
"Papailiopoulos",
"Dimitris",
""
]
] | State-of-the-art machine learning models frequently misclassify inputs that have been perturbed in an adversarial manner. Adversarial perturbations generated for a given input and a specific classifier often seem to be effective on other inputs and even different classifiers. In other words, adversarial perturbations s... |
2010.01113 | S. Mohammad Razavizadeh | Anahid Rafieifar, and S. Mohammad Razavizadeh | Secrecy Rate Maximization in Multi-IRS Millimeter Wave Networks | 20 pages, 6 figures | Physical Communication (Elsevier) - vol.48 - Oct. 2021 | 10.1016/j.phycom.2021.101436 | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper investigates the problem of increasing the security at the
physical layer of a Millimeter Wave (mmWave) network equipped with several
Intelligent Reflecting Surfaces (IRSs). In this network, multiple IRSs help the
Base Station (BS) to reach the signal to the desired user and at the same time
maintain the s... | [
{
"created": "Fri, 2 Oct 2020 17:17:13 GMT",
"version": "v1"
},
{
"created": "Fri, 21 May 2021 13:24:49 GMT",
"version": "v2"
}
] | 2021-10-07 | [
[
"Rafieifar",
"Anahid",
""
],
[
"Razavizadeh",
"S. Mohammad",
""
]
] | This paper investigates the problem of increasing the security at the physical layer of a Millimeter Wave (mmWave) network equipped with several Intelligent Reflecting Surfaces (IRSs). In this network, multiple IRSs help the Base Station (BS) to reach the signal to the desired user and at the same time maintain the sec... |
1711.11499 | Leonardo Ermann | Leonardo Ermann, Klaus M. Frahm and Dima L. Shepelyansky | Google matrix of Bitcoin network | 12 pages, 15 figures | Eur. Phys. J. B 91, 127 (2018) | 10.1140/epjb/e2018-80674-y | null | cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We construct and study the Google matrix of Bitcoin transactions during the
time period from the very beginning in 2009 till April 2013. The Bitcoin
network has up to a few millions of bitcoin users and we present its main
characteristics including the PageRank and CheiRank probability distributions,
the spectrum of ... | [
{
"created": "Thu, 30 Nov 2017 16:35:43 GMT",
"version": "v1"
}
] | 2018-06-29 | [
[
"Ermann",
"Leonardo",
""
],
[
"Frahm",
"Klaus M.",
""
],
[
"Shepelyansky",
"Dima L.",
""
]
] | We construct and study the Google matrix of Bitcoin transactions during the time period from the very beginning in 2009 till April 2013. The Bitcoin network has up to a few millions of bitcoin users and we present its main characteristics including the PageRank and CheiRank probability distributions, the spectrum of ei... |
2102.06984 | Hanbaek Lyu | Hanbaek Lyu, Yacoub H. Kureh, Joshua Vendrow, Mason A. Porter | Learning low-rank latent mesoscale structures in networks | 82 pages, 25 figures, 2 tables | null | null | null | cs.SI cs.LG math.OC physics.soc-ph stat.ML | http://creativecommons.org/licenses/by/4.0/ | It is common to use networks to encode the architecture of interactions
between entities in complex systems in the physical, biological, social, and
information sciences. To study the large-scale behavior of complex systems, it
is useful to examine mesoscale structures in networks as building blocks that
influence su... | [
{
"created": "Sat, 13 Feb 2021 18:54:49 GMT",
"version": "v1"
},
{
"created": "Sun, 25 Jul 2021 16:45:12 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Aug 2022 23:13:44 GMT",
"version": "v3"
},
{
"created": "Sat, 4 Mar 2023 05:52:30 GMT",
"version": "v4"
},
{
"cr... | 2023-07-14 | [
[
"Lyu",
"Hanbaek",
""
],
[
"Kureh",
"Yacoub H.",
""
],
[
"Vendrow",
"Joshua",
""
],
[
"Porter",
"Mason A.",
""
]
] | It is common to use networks to encode the architecture of interactions between entities in complex systems in the physical, biological, social, and information sciences. To study the large-scale behavior of complex systems, it is useful to examine mesoscale structures in networks as building blocks that influence such... |
1807.01185 | Iman Valiulahi | Iman Valiulahi, Farzan Haddadi, and Arash Amini | Robustness of Two-Dimensional Line Spectral Estimation Against Spiky
Noise | null | null | 10.1109/TSP.2019.2951220 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The aim of two-dimensional line spectral estimation is to super-resolve the
spectral point sources of the signal from time samples. In many associated
applications such as radar and sonar, due to cut-off and saturation regions in
electronic devices, some of the numbers of samples are corrupted by spiky
noise. To over... | [
{
"created": "Tue, 3 Jul 2018 13:45:56 GMT",
"version": "v1"
}
] | 2020-01-08 | [
[
"Valiulahi",
"Iman",
""
],
[
"Haddadi",
"Farzan",
""
],
[
"Amini",
"Arash",
""
]
] | The aim of two-dimensional line spectral estimation is to super-resolve the spectral point sources of the signal from time samples. In many associated applications such as radar and sonar, due to cut-off and saturation regions in electronic devices, some of the numbers of samples are corrupted by spiky noise. To overco... |
2009.02406 | Xinli Yu T | Xinli Yu, Mohsen Malmir, Cynthia He, Yue Liu, Rex Wu | Video Moment Retrieval via Natural Language Queries | needs internal approval | null | null | null | cs.CV cs.AI cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel method for video moment retrieval (VMR)
that achieves state of the arts (SOTA) performance on R@1 metrics and
surpassing the SOTA on the high IoU metric (R@1, IoU=0.7).
First, we propose to use a multi-head self-attention mechanism, and further a
cross-attention scheme to capture v... | [
{
"created": "Fri, 4 Sep 2020 22:06:34 GMT",
"version": "v1"
},
{
"created": "Thu, 10 Sep 2020 14:49:04 GMT",
"version": "v2"
}
] | 2020-09-11 | [
[
"Yu",
"Xinli",
""
],
[
"Malmir",
"Mohsen",
""
],
[
"He",
"Cynthia",
""
],
[
"Liu",
"Yue",
""
],
[
"Wu",
"Rex",
""
]
] | In this paper, we propose a novel method for video moment retrieval (VMR) that achieves state of the arts (SOTA) performance on R@1 metrics and surpassing the SOTA on the high IoU metric (R@1, IoU=0.7). First, we propose to use a multi-head self-attention mechanism, and further a cross-attention scheme to capture video... |
0704.3433 | Tshilidzi Marwala | Tshilidzi Marwala and Bodie Crossingham | Bayesian approach to rough set | 20 pages, 3 figures | null | null | null | cs.AI | null | This paper proposes an approach to training rough set models using Bayesian
framework trained using Markov Chain Monte Carlo (MCMC) method. The prior
probabilities are constructed from the prior knowledge that good rough set
models have fewer rules. Markov Chain Monte Carlo sampling is conducted through
sampling in t... | [
{
"created": "Wed, 25 Apr 2007 19:50:59 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Marwala",
"Tshilidzi",
""
],
[
"Crossingham",
"Bodie",
""
]
] | This paper proposes an approach to training rough set models using Bayesian framework trained using Markov Chain Monte Carlo (MCMC) method. The prior probabilities are constructed from the prior knowledge that good rough set models have fewer rules. Markov Chain Monte Carlo sampling is conducted through sampling in the... |
2207.04403 | Litao Yu | Litao Yu, Zhibin Li, Jian Zhang, Qiang Wu | Self-attention on Multi-Shifted Windows for Scene Segmentation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scene segmentation in images is a fundamental yet challenging problem in
visual content understanding, which is to learn a model to assign every image
pixel to a categorical label. One of the challenges for this learning task is
to consider the spatial and semantic relationships to obtain descriptive
feature represen... | [
{
"created": "Sun, 10 Jul 2022 07:36:36 GMT",
"version": "v1"
}
] | 2022-07-12 | [
[
"Yu",
"Litao",
""
],
[
"Li",
"Zhibin",
""
],
[
"Zhang",
"Jian",
""
],
[
"Wu",
"Qiang",
""
]
] | Scene segmentation in images is a fundamental yet challenging problem in visual content understanding, which is to learn a model to assign every image pixel to a categorical label. One of the challenges for this learning task is to consider the spatial and semantic relationships to obtain descriptive feature representa... |
1703.09200 | Yuanhan Mo | Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing
Zhang, Taigang He, Yike Guo | The Deep Poincar\'e Map: A Novel Approach for Left Ventricle
Segmentation | MICCAI 2018 Spotlight | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Precise segmentation of the left ventricle (LV) within cardiac MRI images is
a prerequisite for the quantitative measurement of heart function. However,
this task is challenging due to the limited availability of labeled data and
motion artifacts from cardiac imaging. In this work, we present an iterative
segmentatio... | [
{
"created": "Mon, 27 Mar 2017 17:37:33 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Oct 2018 11:10:09 GMT",
"version": "v2"
}
] | 2018-10-31 | [
[
"Mo",
"Yuanhan",
""
],
[
"Liu",
"Fangde",
""
],
[
"McIlwraith",
"Douglas",
""
],
[
"Yang",
"Guang",
""
],
[
"Zhang",
"Jingqing",
""
],
[
"He",
"Taigang",
""
],
[
"Guo",
"Yike",
""
]
] | Precise segmentation of the left ventricle (LV) within cardiac MRI images is a prerequisite for the quantitative measurement of heart function. However, this task is challenging due to the limited availability of labeled data and motion artifacts from cardiac imaging. In this work, we present an iterative segmentation ... |
2407.11344 | Xu Zheng | Xu Zheng, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang | Centering the Value of Every Modality: Towards Efficient and Resilient
Modality-agnostic Semantic Segmentation | Accepted to ECCV 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fusing an arbitrary number of modalities is vital for achieving robust
multi-modal fusion of semantic segmentation yet remains less explored to date.
Recent endeavors regard RGB modality as the center and the others as the
auxiliary, yielding an asymmetric architecture with two branches. However, the
RGB modality may... | [
{
"created": "Tue, 16 Jul 2024 03:19:59 GMT",
"version": "v1"
}
] | 2024-07-17 | [
[
"Zheng",
"Xu",
""
],
[
"Lyu",
"Yuanhuiyi",
""
],
[
"Zhou",
"Jiazhou",
""
],
[
"Wang",
"Lin",
""
]
] | Fusing an arbitrary number of modalities is vital for achieving robust multi-modal fusion of semantic segmentation yet remains less explored to date. Recent endeavors regard RGB modality as the center and the others as the auxiliary, yielding an asymmetric architecture with two branches. However, the RGB modality may s... |
2307.03017 | Yijie Deng | Yijie Deng, Lei Han, Tianpeng Lin, Lin Li, Jinzhi Zhang, and Lu Fang | RealLiFe: Real-Time Light Field Reconstruction via Hierarchical Sparse
Gradient Descent | Submitted to IEEE TPAMI | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the rise of Extended Reality (XR) technology, there is a growing need
for real-time light field generation from sparse view inputs. Existing methods
can be classified into offline techniques, which can generate high-quality
novel views but at the cost of long inference/training time, and online
methods, which ei... | [
{
"created": "Thu, 6 Jul 2023 14:31:01 GMT",
"version": "v1"
},
{
"created": "Mon, 10 Jul 2023 12:47:34 GMT",
"version": "v2"
},
{
"created": "Mon, 27 Nov 2023 11:38:39 GMT",
"version": "v3"
}
] | 2023-11-28 | [
[
"Deng",
"Yijie",
""
],
[
"Han",
"Lei",
""
],
[
"Lin",
"Tianpeng",
""
],
[
"Li",
"Lin",
""
],
[
"Zhang",
"Jinzhi",
""
],
[
"Fang",
"Lu",
""
]
] | With the rise of Extended Reality (XR) technology, there is a growing need for real-time light field generation from sparse view inputs. Existing methods can be classified into offline techniques, which can generate high-quality novel views but at the cost of long inference/training time, and online methods, which eith... |
2406.16300 | Sidak Pal Singh | Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard
Sch\"olkopf, Thomas Hofmann | Landscaping Linear Mode Connectivity | ICML 2024 HiLD workshop paper | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | The presence of linear paths in parameter space between two different network
solutions in certain cases, i.e., linear mode connectivity (LMC), has garnered
interest from both theoretical and practical fronts. There has been significant
research that either practically designs algorithms catered for connecting
networ... | [
{
"created": "Mon, 24 Jun 2024 03:53:30 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Singh",
"Sidak Pal",
""
],
[
"Adilova",
"Linara",
""
],
[
"Kamp",
"Michael",
""
],
[
"Fischer",
"Asja",
""
],
[
"Schölkopf",
"Bernhard",
""
],
[
"Hofmann",
"Thomas",
""
]
] | The presence of linear paths in parameter space between two different network solutions in certain cases, i.e., linear mode connectivity (LMC), has garnered interest from both theoretical and practical fronts. There has been significant research that either practically designs algorithms catered for connecting networks... |
2305.17400 | Xiao Hu | Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang | Query-Policy Misalignment in Preference-Based Reinforcement Learning | Accepted by ICLR 2024 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Preference-based reinforcement learning (PbRL) provides a natural way to
align RL agents' behavior with human desired outcomes, but is often restrained
by costly human feedback. To improve feedback efficiency, most existing PbRL
methods focus on selecting queries to maximally improve the overall quality of
the reward... | [
{
"created": "Sat, 27 May 2023 07:55:17 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Nov 2023 16:27:42 GMT",
"version": "v2"
},
{
"created": "Fri, 5 Jul 2024 14:26:21 GMT",
"version": "v3"
}
] | 2024-07-08 | [
[
"Hu",
"Xiao",
""
],
[
"Li",
"Jianxiong",
""
],
[
"Zhan",
"Xianyuan",
""
],
[
"Jia",
"Qing-Shan",
""
],
[
"Zhang",
"Ya-Qin",
""
]
] | Preference-based reinforcement learning (PbRL) provides a natural way to align RL agents' behavior with human desired outcomes, but is often restrained by costly human feedback. To improve feedback efficiency, most existing PbRL methods focus on selecting queries to maximally improve the overall quality of the reward m... |
1707.06391 | William Moses Jr. | Ankush Agarwalla, John Augustine, William K. Moses Jr., Madhav Sankar
K., Arvind Krishna Sridhar | Deterministic Dispersion of Mobile Robots in Dynamic Rings | 21 pages, 10 figures, concise version of paper to appear in ICDCN
2018 | null | null | null | cs.DC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we study the problem of dispersion of mobile robots on dynamic
rings. The problem of dispersion of $n$ robots on an $n$ node graph, introduced
by Augustine and Moses Jr. [1], requires robots to coordinate with each other
and reach a configuration where exactly one robot is present on each node. This
pro... | [
{
"created": "Thu, 20 Jul 2017 06:46:15 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Oct 2017 03:29:44 GMT",
"version": "v2"
},
{
"created": "Mon, 16 Oct 2017 13:50:46 GMT",
"version": "v3"
}
] | 2017-10-17 | [
[
"Agarwalla",
"Ankush",
""
],
[
"Augustine",
"John",
""
],
[
"Moses",
"William K.",
"Jr."
],
[
"K.",
"Madhav Sankar",
""
],
[
"Sridhar",
"Arvind Krishna",
""
]
] | In this work, we study the problem of dispersion of mobile robots on dynamic rings. The problem of dispersion of $n$ robots on an $n$ node graph, introduced by Augustine and Moses Jr. [1], requires robots to coordinate with each other and reach a configuration where exactly one robot is present on each node. This probl... |
2208.12184 | Mahdi Hejrati | Mahdi Hejrati, Jouni Mattila | Decentralized Nonlinear Control of Redundant Upper Limb Exoskeleton with
Natural Adaptation Law | Manuscript is published in 2022 IEEE-RAS 21st International
Conference on Humanoid Robots (Humanoids) | null | 10.1109/Humanoids53995.2022.10000105 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The aim of this work is to utilize an adaptive decentralized control method
called virtual decomposition control (VDC) to control the orientation and
position of the end-effector of a 7 degrees of freedom (DoF) right-hand
upper-limb exoskeleton. The prevailing adaptive VDC approach requires tuning of
13n adaptation g... | [
{
"created": "Thu, 25 Aug 2022 16:10:49 GMT",
"version": "v1"
},
{
"created": "Thu, 29 Sep 2022 15:00:41 GMT",
"version": "v2"
},
{
"created": "Fri, 20 Jan 2023 15:50:32 GMT",
"version": "v3"
}
] | 2023-01-23 | [
[
"Hejrati",
"Mahdi",
""
],
[
"Mattila",
"Jouni",
""
]
] | The aim of this work is to utilize an adaptive decentralized control method called virtual decomposition control (VDC) to control the orientation and position of the end-effector of a 7 degrees of freedom (DoF) right-hand upper-limb exoskeleton. The prevailing adaptive VDC approach requires tuning of 13n adaptation gai... |
1908.07195 | Pei Ke | Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu | ARAML: A Stable Adversarial Training Framework for Text Generation | Accepted by EMNLP 2019 | null | null | null | cs.CL cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most of the existing generative adversarial networks (GAN) for text
generation suffer from the instability of reinforcement learning training
algorithms such as policy gradient, leading to unstable performance. To tackle
this problem, we propose a novel framework called Adversarial Reward Augmented
Maximum Likelihood... | [
{
"created": "Tue, 20 Aug 2019 07:25:14 GMT",
"version": "v1"
}
] | 2019-08-21 | [
[
"Ke",
"Pei",
""
],
[
"Huang",
"Fei",
""
],
[
"Huang",
"Minlie",
""
],
[
"Zhu",
"Xiaoyan",
""
]
] | Most of the existing generative adversarial networks (GAN) for text generation suffer from the instability of reinforcement learning training algorithms such as policy gradient, leading to unstable performance. To tackle this problem, we propose a novel framework called Adversarial Reward Augmented Maximum Likelihood (... |
2105.10332 | Kyle Niemeyer | Anthony S. Walker and Kyle E. Niemeyer | The Two-Dimensional Swept Rule Applied on Heterogeneous Architectures | 18 pages, 11 figures | null | null | null | cs.DC cs.MS physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The partial differential equations describing compressible fluid flows can be
notoriously difficult to resolve on a pragmatic scale and often require the use
of high performance computing systems and/or accelerators. However, these
systems face scaling issues such as latency, the fixed cost of communicating
informati... | [
{
"created": "Thu, 1 Apr 2021 20:06:09 GMT",
"version": "v1"
}
] | 2021-05-24 | [
[
"Walker",
"Anthony S.",
""
],
[
"Niemeyer",
"Kyle E.",
""
]
] | The partial differential equations describing compressible fluid flows can be notoriously difficult to resolve on a pragmatic scale and often require the use of high performance computing systems and/or accelerators. However, these systems face scaling issues such as latency, the fixed cost of communicating information... |
1512.05403 | Jose Morales Escalante | Jose Morales-Escalante, Irene M. Gamba, Yingda Cheng, Armando
Majorana, Chi-Wang Shu, and James Chelikowsky | Discontinuous Galerkin Deterministic Solvers for a Boltzmann-Poisson
Model of Hot Electron Transport by Averaged Empirical Pseudopotential Band
Structures | submission to CMAME (Computer Methods in Applied Mechanics and
Engineering) Journal as a reply to the reviewers on February 2017 | Computer Methods in Applied Mechanics and Engineering, Volume 321,
2017, Pages 209-234 | 10.1016/j.cma.2017.03.003 | null | cs.CE cond-mat.mes-hall math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The purpose of this work is to incorporate numerically, in a discontinuous
Galerkin (DG) solver of a Boltzmann-Poisson model for hot electron transport,
an electronic conduction band whose values are obtained by the spherical
averaging of the full band structure given by a local empirical pseudopotential
method (EPM)... | [
{
"created": "Wed, 16 Dec 2015 22:51:53 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Jan 2018 20:46:27 GMT",
"version": "v2"
}
] | 2018-01-19 | [
[
"Morales-Escalante",
"Jose",
""
],
[
"Gamba",
"Irene M.",
""
],
[
"Cheng",
"Yingda",
""
],
[
"Majorana",
"Armando",
""
],
[
"Shu",
"Chi-Wang",
""
],
[
"Chelikowsky",
"James",
""
]
] | The purpose of this work is to incorporate numerically, in a discontinuous Galerkin (DG) solver of a Boltzmann-Poisson model for hot electron transport, an electronic conduction band whose values are obtained by the spherical averaging of the full band structure given by a local empirical pseudopotential method (EPM) a... |
1904.07429 | Mingxin Jin | Mingxin Jin, Yongsheng Dong, Lintao Zheng, Lingfei Liang, Tianyu Wang,
Hongyan zhang | Shortest Paths in HSI Space for Color Texture Classification | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Color texture representation is an important step in the task of texture
classification. Shortest paths was used to extract color texture features from
RGB and HSV color spaces. In this paper, we propose to use shortest paths in
the HSI space to build a texture representation for classification. In
particular, two un... | [
{
"created": "Tue, 16 Apr 2019 03:24:35 GMT",
"version": "v1"
}
] | 2019-04-17 | [
[
"Jin",
"Mingxin",
""
],
[
"Dong",
"Yongsheng",
""
],
[
"Zheng",
"Lintao",
""
],
[
"Liang",
"Lingfei",
""
],
[
"Wang",
"Tianyu",
""
],
[
"zhang",
"Hongyan",
""
]
] | Color texture representation is an important step in the task of texture classification. Shortest paths was used to extract color texture features from RGB and HSV color spaces. In this paper, we propose to use shortest paths in the HSI space to build a texture representation for classification. In particular, two undi... |
1804.00344 | Marcin Junczys-Dowmunt | Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang,
Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri
Aji, Nikolay Bogoychev, Andr\'e F. T. Martins, Alexandra Birch | Marian: Fast Neural Machine Translation in C++ | Demonstration paper | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present Marian, an efficient and self-contained Neural Machine Translation
framework with an integrated automatic differentiation engine based on dynamic
computation graphs. Marian is written entirely in C++. We describe the design
of the encoder-decoder framework and demonstrate that a research-friendly
toolkit c... | [
{
"created": "Sun, 1 Apr 2018 20:50:57 GMT",
"version": "v1"
},
{
"created": "Tue, 3 Apr 2018 04:11:44 GMT",
"version": "v2"
},
{
"created": "Wed, 4 Apr 2018 15:34:17 GMT",
"version": "v3"
}
] | 2018-04-05 | [
[
"Junczys-Dowmunt",
"Marcin",
""
],
[
"Grundkiewicz",
"Roman",
""
],
[
"Dwojak",
"Tomasz",
""
],
[
"Hoang",
"Hieu",
""
],
[
"Heafield",
"Kenneth",
""
],
[
"Neckermann",
"Tom",
""
],
[
"Seide",
"Frank",
""
... | We present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Marian is written entirely in C++. We describe the design of the encoder-decoder framework and demonstrate that a research-friendly toolkit can... |
1902.10645 | Kurniawan Irianto | Kurniawan D. Irianto, Juan A. Cabrera, Giang T. Nguyen, Hani Salah,
and Frank H.P. Fitzek | S-PRAC: Fast Partial Packet Recovery with Network Coding in Very Noisy
Wireless Channels | null | null | 10.1109/WD.2019.8734223 | null | cs.NI | http://creativecommons.org/licenses/by/4.0/ | Well-known error detection and correction solutions in wireless
communications are slow or incur high transmission overhead. Recently, notable
solutions like PRAC and DAPRAC, implementing partial packet recovery with
network coding, could address these problems. However, they perform slowly when
there are many errors... | [
{
"created": "Wed, 27 Feb 2019 17:25:56 GMT",
"version": "v1"
}
] | 2019-10-07 | [
[
"Irianto",
"Kurniawan D.",
""
],
[
"Cabrera",
"Juan A.",
""
],
[
"Nguyen",
"Giang T.",
""
],
[
"Salah",
"Hani",
""
],
[
"Fitzek",
"Frank H. P.",
""
]
] | Well-known error detection and correction solutions in wireless communications are slow or incur high transmission overhead. Recently, notable solutions like PRAC and DAPRAC, implementing partial packet recovery with network coding, could address these problems. However, they perform slowly when there are many errors. ... |
1701.08554 | Maxime Ferreira Da Costa | Maxime Ferreira Da Costa and Wei Dai | Low Dimensional Atomic Norm Representations in Line Spectral Estimation | null | null | 10.1109/ISIT.2017.8006523 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The line spectral estimation problem consists in recovering the frequencies
of a complex valued time signal that is assumed to be sparse in the spectral
domain from its discrete observations. Unlike the gridding required by the
classical compressed sensing framework, line spectral estimation reconstructs
signals whos... | [
{
"created": "Mon, 30 Jan 2017 11:35:04 GMT",
"version": "v1"
}
] | 2021-10-18 | [
[
"Da Costa",
"Maxime Ferreira",
""
],
[
"Dai",
"Wei",
""
]
] | The line spectral estimation problem consists in recovering the frequencies of a complex valued time signal that is assumed to be sparse in the spectral domain from its discrete observations. Unlike the gridding required by the classical compressed sensing framework, line spectral estimation reconstructs signals whose ... |
cs/0003005 | Prasan Roy | Prasan Roy, Krithi Ramamritham, S. Seshadri, Pradeep Shenoy, S.
Sudarshan | Don't Trash your Intermediate Results, Cache 'em | 22 pages, 4 figures | null | null | null | cs.DB | null | In data warehouse and data mart systems, queries often take a long time to
execute due to their complex nature. Query response times can be greatly
improved by caching final/intermediate results of previous queries, and using
them to answer later queries. In this paper we describe a caching system called
Exchequer wh... | [
{
"created": "Thu, 2 Mar 2000 08:15:21 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Roy",
"Prasan",
""
],
[
"Ramamritham",
"Krithi",
""
],
[
"Seshadri",
"S.",
""
],
[
"Shenoy",
"Pradeep",
""
],
[
"Sudarshan",
"S.",
""
]
] | In data warehouse and data mart systems, queries often take a long time to execute due to their complex nature. Query response times can be greatly improved by caching final/intermediate results of previous queries, and using them to answer later queries. In this paper we describe a caching system called Exchequer whic... |
2302.09420 | Marwan Omar Dr | Marwan Omar | RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | As machine learning (ML) systems are being increasingly employed in the real
world to handle sensitive tasks and make decisions in various fields, the
security and privacy of those models have also become increasingly critical. In
particular, Deep Neural Networks (DNN) have been shown to be vulnerable to
backdoor att... | [
{
"created": "Sat, 18 Feb 2023 20:52:08 GMT",
"version": "v1"
}
] | 2023-02-21 | [
[
"Omar",
"Marwan",
""
]
] | As machine learning (ML) systems are being increasingly employed in the real world to handle sensitive tasks and make decisions in various fields, the security and privacy of those models have also become increasingly critical. In particular, Deep Neural Networks (DNN) have been shown to be vulnerable to backdoor attac... |
2006.16533 | Shusen Liu | Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily
Robertson, Donald Loveland, T. Yong-Jin Han | Actionable Attribution Maps for Scientific Machine Learning | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The scientific community has been increasingly interested in harnessing the
power of deep learning to solve various domain challenges. However, despite the
effectiveness in building predictive models, fundamental challenges exist in
extracting actionable knowledge from the deep neural network due to their
opaque natu... | [
{
"created": "Tue, 30 Jun 2020 05:12:29 GMT",
"version": "v1"
}
] | 2020-07-01 | [
[
"Liu",
"Shusen",
""
],
[
"Kailkhura",
"Bhavya",
""
],
[
"Zhang",
"Jize",
""
],
[
"Hiszpanski",
"Anna M.",
""
],
[
"Robertson",
"Emily",
""
],
[
"Loveland",
"Donald",
""
],
[
"Han",
"T. Yong-Jin",
""
]
] | The scientific community has been increasingly interested in harnessing the power of deep learning to solve various domain challenges. However, despite the effectiveness in building predictive models, fundamental challenges exist in extracting actionable knowledge from the deep neural network due to their opaque nature... |
1608.08142 | Reza Rafie Borujeny | Reza Rafie Borujeny, Moslem Noori, Masoud Ardakani | Maximizing Data Rate for Multiway Relay Channels with Pairwise
Transmission Strategy | Submitted to IEEE Transactions on Wireless Communications, under
second round of revisions. 10 pages, 8 figures. arXiv admin note: text
overlap with arXiv:1406.4610 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a multiway relay channel (MWRC), pairwise transmission strategy can be
used to reduce the computational complexity at the relay and the users without
sacrificing the data rate, significantly. The performance of such pairwise
strategies, however, is affected by the way that the users are paired to
transmit. In this... | [
{
"created": "Mon, 29 Aug 2016 16:47:09 GMT",
"version": "v1"
}
] | 2016-08-30 | [
[
"Borujeny",
"Reza Rafie",
""
],
[
"Noori",
"Moslem",
""
],
[
"Ardakani",
"Masoud",
""
]
] | In a multiway relay channel (MWRC), pairwise transmission strategy can be used to reduce the computational complexity at the relay and the users without sacrificing the data rate, significantly. The performance of such pairwise strategies, however, is affected by the way that the users are paired to transmit. In this p... |
2307.02443 | Leon Moonen | Max Hort and Anastasiia Grishina and Leon Moonen | An Exploratory Literature Study on Sharing and Energy Use of Language
Models for Source Code | Accepted for publication in the 17th ACM/IEEE International Symposium
on Empirical Software Engineering and Measurement (ESEM 2023) | null | null | null | cs.SE cs.AI cs.CL cs.LG cs.NE | http://creativecommons.org/licenses/by/4.0/ | Large language models trained on source code can support a variety of
software development tasks, such as code recommendation and program repair.
Large amounts of data for training such models benefit the models' performance.
However, the size of the data and models results in long training times and
high energy cons... | [
{
"created": "Wed, 5 Jul 2023 17:13:00 GMT",
"version": "v1"
}
] | 2023-07-06 | [
[
"Hort",
"Max",
""
],
[
"Grishina",
"Anastasiia",
""
],
[
"Moonen",
"Leon",
""
]
] | Large language models trained on source code can support a variety of software development tasks, such as code recommendation and program repair. Large amounts of data for training such models benefit the models' performance. However, the size of the data and models results in long training times and high energy consum... |
2308.07789 | Matteo Acclavio | Matteo Acclavio, Gianluca Curzi, Giulio Guerrieri | Infinitary cut-elimination via finite approximations (extended version) | Extended version of the paper "Infinitary cut-elimination via finite
approximations" accepted at CSL2024 | null | null | null | cs.LO | http://creativecommons.org/licenses/by/4.0/ | We investigate non-wellfounded proof systems based on parsimonious logic, a
weaker variant of linear logic where the exponential modality ! is interpreted
as a constructor for streams over finite data. Logical consistency is
maintained at a global level by adapting a standard progressing criterion. We
present an infi... | [
{
"created": "Tue, 15 Aug 2023 14:10:56 GMT",
"version": "v1"
},
{
"created": "Mon, 27 May 2024 18:52:23 GMT",
"version": "v2"
}
] | 2024-05-29 | [
[
"Acclavio",
"Matteo",
""
],
[
"Curzi",
"Gianluca",
""
],
[
"Guerrieri",
"Giulio",
""
]
] | We investigate non-wellfounded proof systems based on parsimonious logic, a weaker variant of linear logic where the exponential modality ! is interpreted as a constructor for streams over finite data. Logical consistency is maintained at a global level by adapting a standard progressing criterion. We present an infini... |
cs/0309040 | Valmir Barbosa | L. D. Penso, V. C. Barbosa | A distributed algorithm to find k-dominating sets | To appear in Discrete Applied Mathematics | Discrete Applied Mathematics 141 (2004), 243-253 | 10.1016/S0166-218X(03)00368-8 | ES-552/01 | cs.DC | null | We consider a connected undirected graph $G(n,m)$ with $n$ nodes and $m$
edges. A $k$-dominating set $D$ in $G$ is a set of nodes having the property
that every node in $G$ is at most $k$ edges away from at least one node in $D$.
Finding a $k$-dominating set of minimum size is NP-hard. We give a new
synchronous distr... | [
{
"created": "Tue, 23 Sep 2003 01:14:43 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Penso",
"L. D.",
""
],
[
"Barbosa",
"V. C.",
""
]
] | We consider a connected undirected graph $G(n,m)$ with $n$ nodes and $m$ edges. A $k$-dominating set $D$ in $G$ is a set of nodes having the property that every node in $G$ is at most $k$ edges away from at least one node in $D$. Finding a $k$-dominating set of minimum size is NP-hard. We give a new synchronous distrib... |
1804.07396 | David Eppstein | David Eppstein | Making Change in 2048 | 13 pages, 1 figure. To appear in the Proceedings of the 9th
International Conference on Fun with Algorithms (FUN 2018), Leibniz
International Proceedings in Informatics | null | null | null | cs.DM | http://creativecommons.org/licenses/by/4.0/ | The 2048 game involves tiles labeled with powers of two that can be merged to
form bigger powers of two; variants of the same puzzle involve similar merges
of other tile values. We analyze the maximum score achievable in these games by
proving a min-max theorem equating this maximum score (in an abstract
generalized ... | [
{
"created": "Thu, 19 Apr 2018 22:58:51 GMT",
"version": "v1"
}
] | 2018-04-23 | [
[
"Eppstein",
"David",
""
]
] | The 2048 game involves tiles labeled with powers of two that can be merged to form bigger powers of two; variants of the same puzzle involve similar merges of other tile values. We analyze the maximum score achievable in these games by proving a min-max theorem equating this maximum score (in an abstract generalized va... |
2310.10486 | Milad Shafiee | Milad Shafiee, Guillaume Bellegarda and Auke Ijspeert | ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse
Quadruped Robots | Accepted for IEEE International Conference on Robotics and Automation
(ICRA) 2024, Webpage: https://miladshafiee.github.io/ManyQuadrupeds/ | null | null | null | cs.RO cs.AI cs.LG cs.SY eess.SY | http://creativecommons.org/licenses/by-sa/4.0/ | Learning a locomotion policy for quadruped robots has traditionally been
constrained to a specific robot morphology, mass, and size. The learning
process must usually be repeated for every new robot, where hyperparameters and
reward function weights must be re-tuned to maximize performance for each new
system. Altern... | [
{
"created": "Mon, 16 Oct 2023 15:06:16 GMT",
"version": "v1"
},
{
"created": "Fri, 8 Mar 2024 14:10:02 GMT",
"version": "v2"
}
] | 2024-03-11 | [
[
"Shafiee",
"Milad",
""
],
[
"Bellegarda",
"Guillaume",
""
],
[
"Ijspeert",
"Auke",
""
]
] | Learning a locomotion policy for quadruped robots has traditionally been constrained to a specific robot morphology, mass, and size. The learning process must usually be repeated for every new robot, where hyperparameters and reward function weights must be re-tuned to maximize performance for each new system. Alternat... |
2109.08771 | Jacky Liang | Jacky Liang, Mohit Sharma, Alex LaGrassa, Shivam Vats, Saumya Saxena,
Oliver Kroemer | Search-Based Task Planning with Learned Skill Effect Models for Lifelong
Robotic Manipulation | To appear in the International Conference on Robotics and Automation
(ICRA) 2022 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robots deployed in many real-world settings need to be able to acquire new
skills and solve new tasks over time. Prior works on planning with skills often
make assumptions on the structure of skills and tasks, such as subgoal skills,
shared skill implementations, or task-specific plan skeletons, which limit
adaptatio... | [
{
"created": "Fri, 17 Sep 2021 22:06:58 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Apr 2022 01:07:35 GMT",
"version": "v2"
}
] | 2022-04-15 | [
[
"Liang",
"Jacky",
""
],
[
"Sharma",
"Mohit",
""
],
[
"LaGrassa",
"Alex",
""
],
[
"Vats",
"Shivam",
""
],
[
"Saxena",
"Saumya",
""
],
[
"Kroemer",
"Oliver",
""
]
] | Robots deployed in many real-world settings need to be able to acquire new skills and solve new tasks over time. Prior works on planning with skills often make assumptions on the structure of skills and tasks, such as subgoal skills, shared skill implementations, or task-specific plan skeletons, which limit adaptation ... |
2303.14953 | Ming Wang | Ming Wang, Xianda Guo, Beibei Lin, Tian Yang, Zheng Zhu, Lincheng Li,
Shunli Zhang and Xin Yu | DyGait: Exploiting Dynamic Representations for High-performance Gait
Recognition | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Gait recognition is a biometric technology that recognizes the identity of
humans through their walking patterns. Compared with other biometric
technologies, gait recognition is more difficult to disguise and can be applied
to the condition of long-distance without the cooperation of subjects. Thus, it
has unique pot... | [
{
"created": "Mon, 27 Mar 2023 07:36:47 GMT",
"version": "v1"
}
] | 2023-03-28 | [
[
"Wang",
"Ming",
""
],
[
"Guo",
"Xianda",
""
],
[
"Lin",
"Beibei",
""
],
[
"Yang",
"Tian",
""
],
[
"Zhu",
"Zheng",
""
],
[
"Li",
"Lincheng",
""
],
[
"Zhang",
"Shunli",
""
],
[
"Yu",
"Xin",
""... | Gait recognition is a biometric technology that recognizes the identity of humans through their walking patterns. Compared with other biometric technologies, gait recognition is more difficult to disguise and can be applied to the condition of long-distance without the cooperation of subjects. Thus, it has unique poten... |
2103.16434 | Georgios Papadopoulos Th. | Georgios Th. Papadopoulos, Asterios Leonidis, Margherita Antona,
Constantine Stephanidis | User profile-driven large-scale multi-agent learning from demonstration
in federated human-robot collaborative environments | arXiv admin note: substantial text overlap with arXiv:2012.08174 | null | null | null | cs.RO cs.AI cs.HC cs.LG | http://creativecommons.org/licenses/by/4.0/ | Learning from Demonstration (LfD) has been established as the dominant
paradigm for efficiently transferring skills from human teachers to robots. In
this context, the Federated Learning (FL) conceptualization has very recently
been introduced for developing large-scale human-robot collaborative
environments, targeti... | [
{
"created": "Tue, 30 Mar 2021 15:33:21 GMT",
"version": "v1"
}
] | 2021-03-31 | [
[
"Papadopoulos",
"Georgios Th.",
""
],
[
"Leonidis",
"Asterios",
""
],
[
"Antona",
"Margherita",
""
],
[
"Stephanidis",
"Constantine",
""
]
] | Learning from Demonstration (LfD) has been established as the dominant paradigm for efficiently transferring skills from human teachers to robots. In this context, the Federated Learning (FL) conceptualization has very recently been introduced for developing large-scale human-robot collaborative environments, targeting... |
1604.04675 | Hamid Tizhoosh | Shujin Zhu, H.R.Tizhoosh | Radon Features and Barcodes for Medical Image Retrieval via SVM | To appear in proceedings of The 2016 IEEE International Joint
Conference on Neural Networks (IJCNN 2016), July 24-29, 2016, Vancouver,
Canada | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | For more than two decades, research has been performed on content-based image
retrieval (CBIR). By combining Radon projections and the support vector
machines (SVM), a content-based medical image retrieval method is presented in
this work. The proposed approach employs the normalized Radon projections with
correspond... | [
{
"created": "Sat, 16 Apr 2016 01:13:23 GMT",
"version": "v1"
}
] | 2016-04-19 | [
[
"Zhu",
"Shujin",
""
],
[
"Tizhoosh",
"H. R.",
""
]
] | For more than two decades, research has been performed on content-based image retrieval (CBIR). By combining Radon projections and the support vector machines (SVM), a content-based medical image retrieval method is presented in this work. The proposed approach employs the normalized Radon projections with correspondin... |
2105.02742 | Christopher K\"ummel | Christopher Kissel, Christopher K\"ummel, Dennis Ritter, Kristian
Hildebrand | Pose-Guided Sign Language Video GAN with Dynamic Lambda | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | We propose a novel approach for the synthesis of sign language videos using
GANs. We extend the previous work of Stoll et al. by using the human semantic
parser of the Soft-Gated Warping-GAN from to produce photorealistic videos
guided by region-level spatial layouts. Synthesizing target poses improves
performance on... | [
{
"created": "Thu, 6 May 2021 15:12:09 GMT",
"version": "v1"
}
] | 2021-05-07 | [
[
"Kissel",
"Christopher",
""
],
[
"Kümmel",
"Christopher",
""
],
[
"Ritter",
"Dennis",
""
],
[
"Hildebrand",
"Kristian",
""
]
] | We propose a novel approach for the synthesis of sign language videos using GANs. We extend the previous work of Stoll et al. by using the human semantic parser of the Soft-Gated Warping-GAN from to produce photorealistic videos guided by region-level spatial layouts. Synthesizing target poses improves performance on i... |
2103.05902 | Dongseok Shim | Dongseok Shim and H. Jin Kim | Learning a Domain-Agnostic Visual Representation for Autonomous Driving
via Contrastive Loss | IEEE IROS 2021 Submission | null | null | null | cs.CV cs.LG cs.RO | http://creativecommons.org/licenses/by/4.0/ | Deep neural networks have been widely studied in autonomous driving
applications such as semantic segmentation or depth estimation. However,
training a neural network in a supervised manner requires a large amount of
annotated labels which are expensive and time-consuming to collect. Recent
studies leverage synthetic... | [
{
"created": "Wed, 10 Mar 2021 07:06:03 GMT",
"version": "v1"
}
] | 2021-03-11 | [
[
"Shim",
"Dongseok",
""
],
[
"Kim",
"H. Jin",
""
]
] | Deep neural networks have been widely studied in autonomous driving applications such as semantic segmentation or depth estimation. However, training a neural network in a supervised manner requires a large amount of annotated labels which are expensive and time-consuming to collect. Recent studies leverage synthetic d... |
2303.12394 | Qianxiong Xu | Qianxiong Xu, Cheng Long, Liang Yu, Chen Zhang | Road Extraction with Satellite Images and Partial Road Maps | This paper has been accepted by IEEE Transactions on Geoscience and
Remote Sensing | null | 10.1109/TGRS.2023.3261332 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Road extraction is a process of automatically generating road maps mainly
from satellite images. Existing models all target to generate roads from the
scratch despite that a large quantity of road maps, though incomplete, are
publicly available (e.g. those from OpenStreetMap) and can help with road
extraction. In thi... | [
{
"created": "Wed, 22 Mar 2023 08:59:42 GMT",
"version": "v1"
}
] | 2023-05-03 | [
[
"Xu",
"Qianxiong",
""
],
[
"Long",
"Cheng",
""
],
[
"Yu",
"Liang",
""
],
[
"Zhang",
"Chen",
""
]
] | Road extraction is a process of automatically generating road maps mainly from satellite images. Existing models all target to generate roads from the scratch despite that a large quantity of road maps, though incomplete, are publicly available (e.g. those from OpenStreetMap) and can help with road extraction. In this ... |
2111.05688 | Antoine Vacavant | Antoine Vacavant and Bertrand Kerautret and Fabien Feschet | Robust reconstructions by multi-scale/irregular tangential covering | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose an original manner to employ a tangential cover
algorithm - minDSS - in order to geometrically reconstruct noisy digital
contours. To do so, we exploit the representation of graphical objects by
maximal primitives we have introduced in previous works. By calculating
multi-scale and irregular... | [
{
"created": "Wed, 10 Nov 2021 14:02:05 GMT",
"version": "v1"
}
] | 2021-11-11 | [
[
"Vacavant",
"Antoine",
""
],
[
"Kerautret",
"Bertrand",
""
],
[
"Feschet",
"Fabien",
""
]
] | In this paper, we propose an original manner to employ a tangential cover algorithm - minDSS - in order to geometrically reconstruct noisy digital contours. To do so, we exploit the representation of graphical objects by maximal primitives we have introduced in previous works. By calculating multi-scale and irregular i... |
2302.03567 | Daniel Rigobon | Daniel E. Rigobon | From Utilitarian to Rawlsian Designs for Algorithmic Fairness | null | null | null | null | cs.CY cs.LG | http://creativecommons.org/licenses/by/4.0/ | There is a lack of consensus within the literature as to how `fairness' of
algorithmic systems can be measured, and different metrics can often be at
odds. In this paper, we approach this task by drawing on the ethical frameworks
of utilitarianism and John Rawls. Informally, these two theories of
distributive justice... | [
{
"created": "Tue, 7 Feb 2023 16:28:10 GMT",
"version": "v1"
}
] | 2023-02-08 | [
[
"Rigobon",
"Daniel E.",
""
]
] | There is a lack of consensus within the literature as to how `fairness' of algorithmic systems can be measured, and different metrics can often be at odds. In this paper, we approach this task by drawing on the ethical frameworks of utilitarianism and John Rawls. Informally, these two theories of distributive justice m... |
1303.1747 | Emilio Ferrara | Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara, Angela Ricciardello | A Novel Measure of Edge Centrality in Social Networks | 28 pages, 5 figures | Knowledge-based Systems, 30:136-150, 2012 | 10.1016/j.knosys.2012.01.007 | null | cs.SI cs.DS physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The problem of assigning centrality values to nodes and edges in graphs has
been widely investigated during last years. Recently, a novel measure of node
centrality has been proposed, called k-path centrality index, which is based on
the propagation of messages inside a network along paths consisting of at most
k edg... | [
{
"created": "Thu, 7 Mar 2013 16:54:34 GMT",
"version": "v1"
}
] | 2013-03-08 | [
[
"De Meo",
"Pasquale",
""
],
[
"Ferrara",
"Emilio",
""
],
[
"Fiumara",
"Giacomo",
""
],
[
"Ricciardello",
"Angela",
""
]
] | The problem of assigning centrality values to nodes and edges in graphs has been widely investigated during last years. Recently, a novel measure of node centrality has been proposed, called k-path centrality index, which is based on the propagation of messages inside a network along paths consisting of at most k edges... |
2110.09796 | Xiaoteng Ma | Xiaoteng Ma, Yiqin Yang, Hao Hu, Qihan Liu, Jun Yang, Chongjie Zhang,
Qianchuan Zhao, Bin Liang | Offline Reinforcement Learning with Value-based Episodic Memory | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Offline reinforcement learning (RL) shows promise of applying RL to
real-world problems by effectively utilizing previously collected data. Most
existing offline RL algorithms use regularization or constraints to suppress
extrapolation error for actions outside the dataset. In this paper, we adopt a
different framewo... | [
{
"created": "Tue, 19 Oct 2021 08:20:11 GMT",
"version": "v1"
}
] | 2021-10-20 | [
[
"Ma",
"Xiaoteng",
""
],
[
"Yang",
"Yiqin",
""
],
[
"Hu",
"Hao",
""
],
[
"Liu",
"Qihan",
""
],
[
"Yang",
"Jun",
""
],
[
"Zhang",
"Chongjie",
""
],
[
"Zhao",
"Qianchuan",
""
],
[
"Liang",
"Bin",
... | Offline reinforcement learning (RL) shows promise of applying RL to real-world problems by effectively utilizing previously collected data. Most existing offline RL algorithms use regularization or constraints to suppress extrapolation error for actions outside the dataset. In this paper, we adopt a different framework... |
1108.3632 | EPTCS | Thierry Monteil (CNRS - Universit\'e Montpellier 2) | The complexity of tangent words | In Proceedings WORDS 2011, arXiv:1108.3412 | EPTCS 63, 2011, pp. 152-157 | 10.4204/EPTCS.63.21 | null | cs.DM cs.CG cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In a previous paper, we described the set of words that appear in the coding
of smooth (resp. analytic) curves at arbitrary small scale. The aim of this
paper is to compute the complexity of those languages.
| [
{
"created": "Thu, 18 Aug 2011 03:54:08 GMT",
"version": "v1"
}
] | 2011-08-19 | [
[
"Monteil",
"Thierry",
"",
"CNRS - Université Montpellier 2"
]
] | In a previous paper, we described the set of words that appear in the coding of smooth (resp. analytic) curves at arbitrary small scale. The aim of this paper is to compute the complexity of those languages. |
2407.04106 | Asma Alkhaldi | Asma Alkhaldi, Raneem Alnajim, Layan Alabdullatef, Rawan Alyahya, Jun
Chen, Deyao Zhu, Ahmed Alsinan, Mohamed Elhoseiny | MiniGPT-Med: Large Language Model as a General Interface for Radiology
Diagnosis | null | null | null | null | cs.AI cs.CL cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recent advancements in artificial intelligence (AI) have precipitated
significant breakthroughs in healthcare, particularly in refining diagnostic
procedures. However, previous studies have often been constrained to limited
functionalities. This study introduces MiniGPT-Med, a vision-language model
derived from large... | [
{
"created": "Thu, 4 Jul 2024 18:21:10 GMT",
"version": "v1"
}
] | 2024-07-08 | [
[
"Alkhaldi",
"Asma",
""
],
[
"Alnajim",
"Raneem",
""
],
[
"Alabdullatef",
"Layan",
""
],
[
"Alyahya",
"Rawan",
""
],
[
"Chen",
"Jun",
""
],
[
"Zhu",
"Deyao",
""
],
[
"Alsinan",
"Ahmed",
""
],
[
"Elho... | Recent advancements in artificial intelligence (AI) have precipitated significant breakthroughs in healthcare, particularly in refining diagnostic procedures. However, previous studies have often been constrained to limited functionalities. This study introduces MiniGPT-Med, a vision-language model derived from large-s... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.