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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1705.06891 | Mohammad Hadi | Mohammad Hadi, Mohammad Reza Pakravan | Energy-Efficient Resource Allocation for Elastic Optical Networks using
Convex Optimization | 28 pages, 11 figures, 4 tables | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a two-stage algorithm for energy-efficient resource allocation
constrained to QoS and physical requirements in OFDM-based EONs. The first
stage deals with routing, grooming and traffic ordering and aims at minimizing
amplifier power consumption and number of active transponders. We provide a
heuristic proc... | [
{
"created": "Fri, 19 May 2017 08:34:25 GMT",
"version": "v1"
}
] | 2017-05-22 | [
[
"Hadi",
"Mohammad",
""
],
[
"Pakravan",
"Mohammad Reza",
""
]
] | We propose a two-stage algorithm for energy-efficient resource allocation constrained to QoS and physical requirements in OFDM-based EONs. The first stage deals with routing, grooming and traffic ordering and aims at minimizing amplifier power consumption and number of active transponders. We provide a heuristic proced... |
1602.03337 | Godphrey Kyambille Mr | Godphrey G Kyambille and Khamisi Kalegele | Enhancing Patient Appointments Scheduling that Uses Mobile Technology | 7 pages | International Journal of Computer Science and Information
Security, 13(11), 21 (2015) | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Appointment scheduling systems are utilized mainly by specialty care clinics
to manage access to service providers as well as by hospitals to schedule
patient appointments. When attending hospitals in Tanzania, patients experience
challenges to see an appropriate specialist doctor because of service interval
inconsis... | [
{
"created": "Wed, 10 Feb 2016 11:56:48 GMT",
"version": "v1"
}
] | 2016-02-11 | [
[
"Kyambille",
"Godphrey G",
""
],
[
"Kalegele",
"Khamisi",
""
]
] | Appointment scheduling systems are utilized mainly by specialty care clinics to manage access to service providers as well as by hospitals to schedule patient appointments. When attending hospitals in Tanzania, patients experience challenges to see an appropriate specialist doctor because of service interval inconsiste... |
2211.16611 | Zhijie Qiao | Zhijie Qiao, Gedaliah Knizhnik, and Mark Yim | Holonomic Control of Arbitrary Configurations of Docked Modboats | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | The Modboat is a low-cost, underactuated, modular robot capable of surface
swimming, docking to other modules, and undocking from them using only a single
motor and two passive flippers. Undocking is achieved by causing intentional
self-collision between the tails of neighboring modules in certain
configurations; thi... | [
{
"created": "Tue, 29 Nov 2022 22:14:46 GMT",
"version": "v1"
}
] | 2022-12-01 | [
[
"Qiao",
"Zhijie",
""
],
[
"Knizhnik",
"Gedaliah",
""
],
[
"Yim",
"Mark",
""
]
] | The Modboat is a low-cost, underactuated, modular robot capable of surface swimming, docking to other modules, and undocking from them using only a single motor and two passive flippers. Undocking is achieved by causing intentional self-collision between the tails of neighboring modules in certain configurations; this ... |
1805.10521 | Lutz Bornmann Dr. | Lutz Bornmann, Antonio Osorio | The value and credits of n-authors publications | null | null | null | null | cs.DL physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Collaboration among researchers is becoming increasingly common, which raises
a large number of scientometrics questions for which there is not a clear and
generally accepted answer. For instance, what value should be given to a
two-author or three-author publication with respect to a single-author
publication? This ... | [
{
"created": "Sat, 26 May 2018 18:57:01 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Jul 2018 06:39:17 GMT",
"version": "v2"
}
] | 2018-07-05 | [
[
"Bornmann",
"Lutz",
""
],
[
"Osorio",
"Antonio",
""
]
] | Collaboration among researchers is becoming increasingly common, which raises a large number of scientometrics questions for which there is not a clear and generally accepted answer. For instance, what value should be given to a two-author or three-author publication with respect to a single-author publication? This pa... |
1907.04235 | Philip Schniter | Philip Schniter | A Simple Derivation of AMP and its State Evolution via First-Order
Cancellation | null | null | 10.1109/TSP.2020.3005545 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the linear regression problem, where the goal is to recover the
vector $\boldsymbol{x}\in\mathbb{R}^n$ from measurements
$\boldsymbol{y}=\boldsymbol{A}\boldsymbol{x}+\boldsymbol{w}\in\mathbb{R}^m$
under known matrix $\boldsymbol{A}$ and unknown noise $\boldsymbol{w}$. For
large i.i.d. sub-Gaussian $\bolds... | [
{
"created": "Tue, 9 Jul 2019 15:19:19 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Jul 2019 19:24:46 GMT",
"version": "v2"
},
{
"created": "Mon, 10 Feb 2020 20:47:01 GMT",
"version": "v3"
}
] | 2023-07-19 | [
[
"Schniter",
"Philip",
""
]
] | We consider the linear regression problem, where the goal is to recover the vector $\boldsymbol{x}\in\mathbb{R}^n$ from measurements $\boldsymbol{y}=\boldsymbol{A}\boldsymbol{x}+\boldsymbol{w}\in\mathbb{R}^m$ under known matrix $\boldsymbol{A}$ and unknown noise $\boldsymbol{w}$. For large i.i.d. sub-Gaussian $\boldsym... |
2308.15244 | Meng Yuan | Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang and Jin Dong | Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation | null | null | null | null | cs.IR cs.AI | http://creativecommons.org/licenses/by/4.0/ | Since Knowledge Graphs (KGs) contain rich semantic information, recently
there has been an influx of KG-enhanced recommendation methods. Most of
existing methods are entirely designed based on euclidean space without
considering curvature. However, recent studies have revealed that a tremendous
graph-structured data ... | [
{
"created": "Tue, 29 Aug 2023 12:11:16 GMT",
"version": "v1"
}
] | 2023-08-30 | [
[
"Yuan",
"Meng",
""
],
[
"Zhuang",
"Fuzhen",
""
],
[
"Zhang",
"Zhao",
""
],
[
"Wang",
"Deqing",
""
],
[
"Dong",
"Jin",
""
]
] | Since Knowledge Graphs (KGs) contain rich semantic information, recently there has been an influx of KG-enhanced recommendation methods. Most of existing methods are entirely designed based on euclidean space without considering curvature. However, recent studies have revealed that a tremendous graph-structured data ex... |
1309.1630 | Frederic Suter | Henri Casanova and Arnaud Giersch and Arnaud Legrand and Martin
Quinson and Fr\'ed\'eric Suter | SimGrid: a Sustained Effort for the Versatile Simulation of Large Scale
Distributed Systems | 4 pages, submission to WSSSPE'13 | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we present Simgrid, a toolkit for the versatile simulation of
large scale distributed systems, whose development effort has been sustained
for the last fifteen years. Over this time period SimGrid has evolved from a
one-laboratory project in the U.S. into a scientific instrument developed by an
internat... | [
{
"created": "Fri, 6 Sep 2013 13:16:20 GMT",
"version": "v1"
}
] | 2013-09-09 | [
[
"Casanova",
"Henri",
""
],
[
"Giersch",
"Arnaud",
""
],
[
"Legrand",
"Arnaud",
""
],
[
"Quinson",
"Martin",
""
],
[
"Suter",
"Frédéric",
""
]
] | In this paper we present Simgrid, a toolkit for the versatile simulation of large scale distributed systems, whose development effort has been sustained for the last fifteen years. Over this time period SimGrid has evolved from a one-laboratory project in the U.S. into a scientific instrument developed by an internatio... |
2002.00069 | Philokypros Ioulianou | Ryan Smith, Daniel Palin, Philokypros P. Ioulianou, Vassilios G.
Vassilakis, Siamak F. Shahandashti | Battery draining attacks against edge computing nodes in IoT networks | 19 pages, | Cyber-Physical Systems (2020), pp.1-21 | 10.1080/23335777.2020.1716268 | null | cs.CR cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many IoT devices, especially those deployed at the network edge have limited
power resources. A number of attacks aim to exhaust these resources and drain
the batteries of such edge nodes. In this work, we study the effects of a
variety of battery draining attacks against edge nodes. Through simulation, we
clarify th... | [
{
"created": "Fri, 31 Jan 2020 21:44:21 GMT",
"version": "v1"
},
{
"created": "Tue, 4 Feb 2020 17:03:48 GMT",
"version": "v2"
}
] | 2020-02-05 | [
[
"Smith",
"Ryan",
""
],
[
"Palin",
"Daniel",
""
],
[
"Ioulianou",
"Philokypros P.",
""
],
[
"Vassilakis",
"Vassilios G.",
""
],
[
"Shahandashti",
"Siamak F.",
""
]
] | Many IoT devices, especially those deployed at the network edge have limited power resources. A number of attacks aim to exhaust these resources and drain the batteries of such edge nodes. In this work, we study the effects of a variety of battery draining attacks against edge nodes. Through simulation, we clarify the ... |
2208.04537 | Yingtong Dou | Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi
Zhang, Philip S. Yu | Automating DBSCAN via Deep Reinforcement Learning | Accepted by CIKM 2022. The code is available at
https://github.com/RingBDStack/DRL-DBSCAN | null | null | null | cs.LG cs.IR | http://creativecommons.org/licenses/by/4.0/ | DBSCAN is widely used in many scientific and engineering fields because of
its simplicity and practicality. However, due to its high sensitivity
parameters, the accuracy of the clustering result depends heavily on practical
experience. In this paper, we first propose a novel Deep Reinforcement Learning
guided automat... | [
{
"created": "Tue, 9 Aug 2022 04:40:11 GMT",
"version": "v1"
}
] | 2022-08-10 | [
[
"Zhang",
"Ruitong",
""
],
[
"Peng",
"Hao",
""
],
[
"Dou",
"Yingtong",
""
],
[
"Wu",
"Jia",
""
],
[
"Sun",
"Qingyun",
""
],
[
"Zhang",
"Jingyi",
""
],
[
"Yu",
"Philip S.",
""
]
] | DBSCAN is widely used in many scientific and engineering fields because of its simplicity and practicality. However, due to its high sensitivity parameters, the accuracy of the clustering result depends heavily on practical experience. In this paper, we first propose a novel Deep Reinforcement Learning guided automatic... |
2308.02951 | Sebastian Martschat | Yueling Li, Sebastian Martschat, Simone Paolo Ponzetto | Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and
Context Extraction | Published as a workshop paper at BioNLP 2023 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a cross-domain approach for automated measurement and context
extraction based on pre-trained language models. We construct a multi-source,
multi-domain corpus and train an end-to-end extraction pipeline. We then apply
multi-source task-adaptive pre-training and fine-tuning to benchmark the
cross-domain ge... | [
{
"created": "Sat, 5 Aug 2023 20:33:39 GMT",
"version": "v1"
}
] | 2023-08-08 | [
[
"Li",
"Yueling",
""
],
[
"Martschat",
"Sebastian",
""
],
[
"Ponzetto",
"Simone Paolo",
""
]
] | We present a cross-domain approach for automated measurement and context extraction based on pre-trained language models. We construct a multi-source, multi-domain corpus and train an end-to-end extraction pipeline. We then apply multi-source task-adaptive pre-training and fine-tuning to benchmark the cross-domain gene... |
1911.10927 | Denys Rozumnyi | Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas | Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects | null | 2020 IEEE Conference on Computer Vision and Pattern Recognition
(CVPR) | 10.1109/CVPR42600.2020.00681 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a novel method that tracks fast moving objects, mainly non-uniform
spherical, in full 6 degrees of freedom, estimating simultaneously their 3D
motion trajectory, 3D pose and object appearance changes with a time step that
is a fraction of the video frame exposure time. The sub-frame object
localization and... | [
{
"created": "Mon, 25 Nov 2019 14:13:25 GMT",
"version": "v1"
}
] | 2020-10-30 | [
[
"Rozumnyi",
"Denys",
""
],
[
"Kotera",
"Jan",
""
],
[
"Sroubek",
"Filip",
""
],
[
"Matas",
"Jiri",
""
]
] | We propose a novel method that tracks fast moving objects, mainly non-uniform spherical, in full 6 degrees of freedom, estimating simultaneously their 3D motion trajectory, 3D pose and object appearance changes with a time step that is a fraction of the video frame exposure time. The sub-frame object localization and a... |
1908.11262 | Dogancan Temel | Dogancan Temel and Min-Hung Chen and Ghassan AlRegib | Traffic Sign Detection under Challenging Conditions: A Deeper Look Into
Performance Variations and Spectral Characteristics | 13 pages, 9 figures, 4 tables. IEEE Transactions on Intelligent
Transportation Systems, 2019 | null | 10.1109/TITS.2019.2931429 | null | cs.CV cs.LG eess.IV eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traffic signs are critical for maintaining the safety and efficiency of our
roads. Therefore, we need to carefully assess the capabilities and limitations
of automated traffic sign detection systems. Existing traffic sign datasets are
limited in terms of type and severity of challenging conditions. Metadata
correspon... | [
{
"created": "Thu, 29 Aug 2019 14:37:40 GMT",
"version": "v1"
}
] | 2019-08-30 | [
[
"Temel",
"Dogancan",
""
],
[
"Chen",
"Min-Hung",
""
],
[
"AlRegib",
"Ghassan",
""
]
] | Traffic signs are critical for maintaining the safety and efficiency of our roads. Therefore, we need to carefully assess the capabilities and limitations of automated traffic sign detection systems. Existing traffic sign datasets are limited in terms of type and severity of challenging conditions. Metadata correspondi... |
2005.11895 | Maxime Bouton | Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, and Mykel
J. Kochenderfer | Reinforcement Learning with Iterative Reasoning for Merging in Dense
Traffic | 6pages, 5 figures | IEEE Intelligent Transportation Systems Conference (ITSC) 2020 | null | null | cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Maneuvering in dense traffic is a challenging task for autonomous vehicles
because it requires reasoning about the stochastic behaviors of many other
participants. In addition, the agent must achieve the maneuver within a limited
time and distance. In this work, we propose a combination of reinforcement
learning and ... | [
{
"created": "Mon, 25 May 2020 02:57:19 GMT",
"version": "v1"
}
] | 2020-05-26 | [
[
"Bouton",
"Maxime",
""
],
[
"Nakhaei",
"Alireza",
""
],
[
"Isele",
"David",
""
],
[
"Fujimura",
"Kikuo",
""
],
[
"Kochenderfer",
"Mykel J.",
""
]
] | Maneuvering in dense traffic is a challenging task for autonomous vehicles because it requires reasoning about the stochastic behaviors of many other participants. In addition, the agent must achieve the maneuver within a limited time and distance. In this work, we propose a combination of reinforcement learning and ga... |
0906.2582 | Shun Watanabe | Shun Watanabe, Ryutaroh Matsumoto, and Tomohiko Uyematsu | Strongly Secure Privacy Amplification Cannot Be Obtained by Encoder of
Slepian-Wolf Code | 10 pages, no figure, A part of this paper will be presented at 2009
IEEE International Symposium on Information Theory in Seoul, Korea. Version 2
is a published version. The results are not changed from version 1.
Explanations are polished and some references are added. In version 3, only
style and DOI are edit... | IEICE Trans. Fundamentals, vol. 93, no. 9, pp. 1650-1659,
September 2010 | 10.1587/transfun.E93.A.1650 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The privacy amplification is a technique to distill a secret key from a
random variable by a function so that the distilled key and eavesdropper's
random variable are statistically independent. There are three kinds of
security criteria for the key distilled by the privacy amplification: the
normalized divergence cri... | [
{
"created": "Mon, 15 Jun 2009 00:26:59 GMT",
"version": "v1"
},
{
"created": "Sat, 5 Mar 2011 03:05:54 GMT",
"version": "v2"
},
{
"created": "Tue, 8 Mar 2011 02:15:02 GMT",
"version": "v3"
}
] | 2011-03-09 | [
[
"Watanabe",
"Shun",
""
],
[
"Matsumoto",
"Ryutaroh",
""
],
[
"Uyematsu",
"Tomohiko",
""
]
] | The privacy amplification is a technique to distill a secret key from a random variable by a function so that the distilled key and eavesdropper's random variable are statistically independent. There are three kinds of security criteria for the key distilled by the privacy amplification: the normalized divergence crite... |
2304.10074 | Xiyuan Wang | Xiyuan Wang, Pan Li, Muhan Zhang | Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this paper, we provide a theory of using graph neural networks (GNNs) for
\textit{multi-node representation learning}, where we are interested in
learning a representation for a set of more than one node such as a link.
Existing GNNs are mainly designed to learn single-node representations. When we
want to learn a... | [
{
"created": "Thu, 20 Apr 2023 04:03:40 GMT",
"version": "v1"
}
] | 2023-04-21 | [
[
"Wang",
"Xiyuan",
""
],
[
"Li",
"Pan",
""
],
[
"Zhang",
"Muhan",
""
]
] | In this paper, we provide a theory of using graph neural networks (GNNs) for \textit{multi-node representation learning}, where we are interested in learning a representation for a set of more than one node such as a link. Existing GNNs are mainly designed to learn single-node representations. When we want to learn a n... |
0902.1258 | Baptiste Jeudy | Baptiste Jeudy (LAHC), Fran\c{c}ois Rioult (GREYC) | Extraction de concepts sous contraintes dans des donn\'ees d'expression
de g\`enes | null | Conf\'erence sur l'apprentissage automatique, Nice : France (2005) | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a technique to extract constrained formal concepts.
| [
{
"created": "Sat, 7 Feb 2009 18:01:09 GMT",
"version": "v1"
}
] | 2009-02-10 | [
[
"Jeudy",
"Baptiste",
"",
"LAHC"
],
[
"Rioult",
"François",
"",
"GREYC"
]
] | In this paper, we propose a technique to extract constrained formal concepts. |
2302.04185 | Anthony Yazdani | Anthony Yazdani, Dimitrios Proios, Hossein Rouhizadeh, Douglas Teodoro | Efficient Joint Learning for Clinical Named Entity Recognition and
Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events | International Conference on Natural Language Processing (ICON 2022) | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Current approaches for clinical information extraction are inefficient in
terms of computational costs and memory consumption, hindering their
application to process large-scale electronic health records (EHRs). We propose
an efficient end-to-end model, the Joint-NER-RE-Fourier (JNRF), to jointly
learn the tasks of n... | [
{
"created": "Wed, 8 Feb 2023 16:44:27 GMT",
"version": "v1"
}
] | 2023-02-09 | [
[
"Yazdani",
"Anthony",
""
],
[
"Proios",
"Dimitrios",
""
],
[
"Rouhizadeh",
"Hossein",
""
],
[
"Teodoro",
"Douglas",
""
]
] | Current approaches for clinical information extraction are inefficient in terms of computational costs and memory consumption, hindering their application to process large-scale electronic health records (EHRs). We propose an efficient end-to-end model, the Joint-NER-RE-Fourier (JNRF), to jointly learn the tasks of nam... |
1712.03481 | Xiao Lu | Xiao Lu, Hai Jiang, Dusit Niyato, Dong In Kim, and Zhu Han | Wireless-Powered Device-to-Device Communications with Ambient
Backscattering: Performance Modeling and Analysis | 24 Pages, 13 figures | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The recent advanced wireless energy harvesting technology has enabled
wireless-powered communications to accommodate wireless data services in a
self-sustainable manner. However, wireless-powered communications rely on
active RF signals to communicate, and result in high power consumption. On the
other hand, ambient ... | [
{
"created": "Sun, 10 Dec 2017 07:51:34 GMT",
"version": "v1"
}
] | 2017-12-12 | [
[
"Lu",
"Xiao",
""
],
[
"Jiang",
"Hai",
""
],
[
"Niyato",
"Dusit",
""
],
[
"Kim",
"Dong In",
""
],
[
"Han",
"Zhu",
""
]
] | The recent advanced wireless energy harvesting technology has enabled wireless-powered communications to accommodate wireless data services in a self-sustainable manner. However, wireless-powered communications rely on active RF signals to communicate, and result in high power consumption. On the other hand, ambient ba... |
2006.03817 | Benoit Guillard | Benoit Guillard, Edoardo Remelli, Pascal Fua | UCLID-Net: Single View Reconstruction in Object Space | Added supplementary material | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most state-of-the-art deep geometric learning single-view reconstruction
approaches rely on encoder-decoder architectures that output either shape
parametrizations or implicit representations. However, these representations
rarely preserve the Euclidean structure of the 3D space objects exist in. In
this paper, we sh... | [
{
"created": "Sat, 6 Jun 2020 09:15:56 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Jun 2020 12:11:18 GMT",
"version": "v2"
}
] | 2020-06-17 | [
[
"Guillard",
"Benoit",
""
],
[
"Remelli",
"Edoardo",
""
],
[
"Fua",
"Pascal",
""
]
] | Most state-of-the-art deep geometric learning single-view reconstruction approaches rely on encoder-decoder architectures that output either shape parametrizations or implicit representations. However, these representations rarely preserve the Euclidean structure of the 3D space objects exist in. In this paper, we show... |
1110.6886 | Yevgeny Seldin | Yevgeny Seldin, Fran\c{c}ois Laviolette, Nicol\`o Cesa-Bianchi, John
Shawe-Taylor, Peter Auer | PAC-Bayesian Inequalities for Martingales | null | null | null | null | cs.LG cs.IT math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a set of high-probability inequalities that control the
concentration of weighted averages of multiple (possibly uncountably many)
simultaneously evolving and interdependent martingales. Our results extend the
PAC-Bayesian analysis in learning theory from the i.i.d. setting to martingales
opening the way f... | [
{
"created": "Mon, 31 Oct 2011 18:22:24 GMT",
"version": "v1"
},
{
"created": "Mon, 25 Jun 2012 11:56:07 GMT",
"version": "v2"
},
{
"created": "Mon, 30 Jul 2012 14:02:53 GMT",
"version": "v3"
}
] | 2012-07-31 | [
[
"Seldin",
"Yevgeny",
""
],
[
"Laviolette",
"François",
""
],
[
"Cesa-Bianchi",
"Nicolò",
""
],
[
"Shawe-Taylor",
"John",
""
],
[
"Auer",
"Peter",
""
]
] | We present a set of high-probability inequalities that control the concentration of weighted averages of multiple (possibly uncountably many) simultaneously evolving and interdependent martingales. Our results extend the PAC-Bayesian analysis in learning theory from the i.i.d. setting to martingales opening the way for... |
2402.00977 | Jae-Sang Hyun | Won-Hoe Kim, Bongjoong Kim, Hyung-Gun Chi, Jae-Sang Hyun | Enhanced fringe-to-phase framework using deep learning | 35 pages, 13 figures, 6 tables | null | null | null | cs.CV eess.IV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | In Fringe Projection Profilometry (FPP), achieving robust and accurate 3D
reconstruction with a limited number of fringe patterns remains a challenge in
structured light 3D imaging. Conventional methods require a set of fringe
images, but using only one or two patterns complicates phase recovery and
unwrapping. In th... | [
{
"created": "Thu, 1 Feb 2024 19:47:34 GMT",
"version": "v1"
}
] | 2024-02-05 | [
[
"Kim",
"Won-Hoe",
""
],
[
"Kim",
"Bongjoong",
""
],
[
"Chi",
"Hyung-Gun",
""
],
[
"Hyun",
"Jae-Sang",
""
]
] | In Fringe Projection Profilometry (FPP), achieving robust and accurate 3D reconstruction with a limited number of fringe patterns remains a challenge in structured light 3D imaging. Conventional methods require a set of fringe images, but using only one or two patterns complicates phase recovery and unwrapping. In this... |
2203.01717 | Felix Morsbach | Niklas Hasebrook, Felix Morsbach, Niclas Kannengie{\ss}er, Marc
Z\"oller, J\"org Franke, Marius Lindauer, Frank Hutter, Ali Sunyaev | Practitioner Motives to Select Hyperparameter Optimization Methods | submitted to JMLR; currently under review | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Advanced programmatic hyperparameter optimization (HPO) methods, such as
Bayesian optimization, have high sample efficiency in reproducibly finding
optimal hyperparameter values of machine learning (ML) models. Yet, ML
practitioners often apply less sample-efficient HPO methods, such as grid
search, which often resul... | [
{
"created": "Thu, 3 Mar 2022 13:55:38 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Jun 2023 08:50:40 GMT",
"version": "v2"
}
] | 2023-06-27 | [
[
"Hasebrook",
"Niklas",
""
],
[
"Morsbach",
"Felix",
""
],
[
"Kannengießer",
"Niclas",
""
],
[
"Zöller",
"Marc",
""
],
[
"Franke",
"Jörg",
""
],
[
"Lindauer",
"Marius",
""
],
[
"Hutter",
"Frank",
""
],
[... | Advanced programmatic hyperparameter optimization (HPO) methods, such as Bayesian optimization, have high sample efficiency in reproducibly finding optimal hyperparameter values of machine learning (ML) models. Yet, ML practitioners often apply less sample-efficient HPO methods, such as grid search, which often results... |
2104.06815 | Guo-Wang Xie | Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, and Cheng-Lin Liu | Dewarping Document Image By Displacement Flow Estimation with Fully
Convolutional Network | null | International Workshop on Document Analysis Systems. Springer,
Cham, 2020: 131-144 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As camera-based documents are increasingly used, the rectification of
distorted document images becomes a need to improve the recognition
performance. In this paper, we propose a novel framework for both rectifying
distorted document image and removing background finely, by estimating
pixel-wise displacements using a... | [
{
"created": "Wed, 14 Apr 2021 12:32:36 GMT",
"version": "v1"
}
] | 2021-04-15 | [
[
"Xie",
"Guo-Wang",
""
],
[
"Yin",
"Fei",
""
],
[
"Zhang",
"Xu-Yao",
""
],
[
"Liu",
"Cheng-Lin",
""
]
] | As camera-based documents are increasingly used, the rectification of distorted document images becomes a need to improve the recognition performance. In this paper, we propose a novel framework for both rectifying distorted document image and removing background finely, by estimating pixel-wise displacements using a f... |
2101.01132 | Michel Breyer | Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan Nieto | Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter | Conference on Robot Learning (CoRL), 2020 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | General robot grasping in clutter requires the ability to synthesize grasps
that work for previously unseen objects and that are also robust to physical
interactions, such as collisions with other objects in the scene. In this work,
we design and train a network that predicts 6 DOF grasps from 3D scene
information ga... | [
{
"created": "Mon, 4 Jan 2021 17:55:01 GMT",
"version": "v1"
}
] | 2021-01-05 | [
[
"Breyer",
"Michel",
""
],
[
"Chung",
"Jen Jen",
""
],
[
"Ott",
"Lionel",
""
],
[
"Siegwart",
"Roland",
""
],
[
"Nieto",
"Juan",
""
]
] | General robot grasping in clutter requires the ability to synthesize grasps that work for previously unseen objects and that are also robust to physical interactions, such as collisions with other objects in the scene. In this work, we design and train a network that predicts 6 DOF grasps from 3D scene information gath... |
1811.02536 | Ross Horne | Ross Horne | A Bisimilarity Congruence for the Applied pi-Calculus Sufficiently
Coarse to Verify Privacy Properties | null | null | null | null | cs.CR cs.LO | http://creativecommons.org/licenses/by/4.0/ | This paper is the first thorough investigation into the coarsest notion of
bisimilarity for the applied pi-calculus that is a congruence relation: open
barbed bisimilarity. An open variant of labelled bisimilarity (quasi-open
bisimilarity), better suited to constructing bisimulations, is proven to
coincide with open ... | [
{
"created": "Tue, 6 Nov 2018 18:12:02 GMT",
"version": "v1"
}
] | 2018-11-07 | [
[
"Horne",
"Ross",
""
]
] | This paper is the first thorough investigation into the coarsest notion of bisimilarity for the applied pi-calculus that is a congruence relation: open barbed bisimilarity. An open variant of labelled bisimilarity (quasi-open bisimilarity), better suited to constructing bisimulations, is proven to coincide with open ba... |
2212.06801 | Jennifer Hu | Jennifer Hu, Sammy Floyd, Olessia Jouravlev, Evelina Fedorenko, Edward
Gibson | A fine-grained comparison of pragmatic language understanding in humans
and language models | ACL 2023 camera-ready version | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Pragmatics and non-literal language understanding are essential to human
communication, and present a long-standing challenge for artificial language
models. We perform a fine-grained comparison of language models and humans on
seven pragmatic phenomena, using zero-shot prompting on an expert-curated set
of English m... | [
{
"created": "Tue, 13 Dec 2022 18:34:59 GMT",
"version": "v1"
},
{
"created": "Tue, 23 May 2023 18:35:34 GMT",
"version": "v2"
}
] | 2023-05-25 | [
[
"Hu",
"Jennifer",
""
],
[
"Floyd",
"Sammy",
""
],
[
"Jouravlev",
"Olessia",
""
],
[
"Fedorenko",
"Evelina",
""
],
[
"Gibson",
"Edward",
""
]
] | Pragmatics and non-literal language understanding are essential to human communication, and present a long-standing challenge for artificial language models. We perform a fine-grained comparison of language models and humans on seven pragmatic phenomena, using zero-shot prompting on an expert-curated set of English mat... |
2308.03119 | Piotr Sowinski | Piotr Sowinski, Ignacio Lacalle, Rafael Vano, Carlos E. Palau | Autonomous Choreography of WebAssembly Workloads in the Federated
Cloud-Edge-IoT Continuum | null | null | null | null | cs.DC | http://creativecommons.org/licenses/by/4.0/ | The concept of the federated Cloud-Edge-IoT continuum promises to alleviate
many woes of current systems, improving resource use, energy efficiency,
quality of service, and more. However, this continuum is still far from being
realized in practice, with no comprehensive solutions for developing,
deploying, and managi... | [
{
"created": "Sun, 6 Aug 2023 13:57:01 GMT",
"version": "v1"
}
] | 2023-08-08 | [
[
"Sowinski",
"Piotr",
""
],
[
"Lacalle",
"Ignacio",
""
],
[
"Vano",
"Rafael",
""
],
[
"Palau",
"Carlos E.",
""
]
] | The concept of the federated Cloud-Edge-IoT continuum promises to alleviate many woes of current systems, improving resource use, energy efficiency, quality of service, and more. However, this continuum is still far from being realized in practice, with no comprehensive solutions for developing, deploying, and managing... |
1911.12777 | Peeter Laud | Peeter Laud and Alisa Pankova | Interpreting Epsilon of Differential Privacy in Terms of Advantage in
Guessing or Approximating Sensitive Attributes | null | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There are numerous methods of achieving $\epsilon$-differential privacy (DP).
The question is what is the appropriate value of $\epsilon$, since there is no
common agreement on a "sufficiently small" $\epsilon$, and its goodness depends
on the query as well as the data. In this paper, we show how to compute
$\epsilon... | [
{
"created": "Thu, 28 Nov 2019 16:24:51 GMT",
"version": "v1"
}
] | 2019-12-02 | [
[
"Laud",
"Peeter",
""
],
[
"Pankova",
"Alisa",
""
]
] | There are numerous methods of achieving $\epsilon$-differential privacy (DP). The question is what is the appropriate value of $\epsilon$, since there is no common agreement on a "sufficiently small" $\epsilon$, and its goodness depends on the query as well as the data. In this paper, we show how to compute $\epsilon$ ... |
2405.19758 | Muzhi Han | Muzhi Han, Yifeng Zhu, Song-Chun Zhu, Ying Nian Wu, Yuke Zhu | InterPreT: Interactive Predicate Learning from Language Feedback for
Generalizable Task Planning | RSS 2024; https://interpret-robot.github.io | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning abstract state representations and knowledge is crucial for
long-horizon robot planning. We present InterPreT, an LLM-powered framework for
robots to learn symbolic predicates from language feedback of human non-experts
during embodied interaction. The learned predicates provide relational
abstractions of th... | [
{
"created": "Thu, 30 May 2024 07:08:40 GMT",
"version": "v1"
}
] | 2024-05-31 | [
[
"Han",
"Muzhi",
""
],
[
"Zhu",
"Yifeng",
""
],
[
"Zhu",
"Song-Chun",
""
],
[
"Wu",
"Ying Nian",
""
],
[
"Zhu",
"Yuke",
""
]
] | Learning abstract state representations and knowledge is crucial for long-horizon robot planning. We present InterPreT, an LLM-powered framework for robots to learn symbolic predicates from language feedback of human non-experts during embodied interaction. The learned predicates provide relational abstractions of the ... |
1604.02303 | Pavel Semukhin | Igor Potapov and Pavel Semukhin | Decidability of the Membership Problem for $2\times 2$ integer matrices | null | null | null | null | cs.DM cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The main result of this paper is the decidability of the membership problem
for $2\times 2$ nonsingular integer matrices. Namely, we will construct the
first algorithm that for any nonsingular $2\times 2$ integer matrices
$M_1,\dots,M_n$ and $M$ decides whether $M$ belongs to the semigroup generated
by $\{M_1,\dots,M... | [
{
"created": "Fri, 8 Apr 2016 10:53:55 GMT",
"version": "v1"
}
] | 2016-04-11 | [
[
"Potapov",
"Igor",
""
],
[
"Semukhin",
"Pavel",
""
]
] | The main result of this paper is the decidability of the membership problem for $2\times 2$ nonsingular integer matrices. Namely, we will construct the first algorithm that for any nonsingular $2\times 2$ integer matrices $M_1,\dots,M_n$ and $M$ decides whether $M$ belongs to the semigroup generated by $\{M_1,\dots,M_n... |
2310.18807 | Rim Assouel | Rim Assouel, Pau Rodriguez, Perouz Taslakian, David Vazquez, Yoshua
Bengio | OC-NMN: Object-centric Compositional Neural Module Network for
Generative Visual Analogical Reasoning | null | null | null | null | cs.AI cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A key aspect of human intelligence is the ability to imagine -- composing
learned concepts in novel ways -- to make sense of new scenarios. Such capacity
is not yet attained for machine learning systems. In this work, in the context
of visual reasoning, we show how modularity can be leveraged to derive a
compositiona... | [
{
"created": "Sat, 28 Oct 2023 20:12:58 GMT",
"version": "v1"
}
] | 2023-10-31 | [
[
"Assouel",
"Rim",
""
],
[
"Rodriguez",
"Pau",
""
],
[
"Taslakian",
"Perouz",
""
],
[
"Vazquez",
"David",
""
],
[
"Bengio",
"Yoshua",
""
]
] | A key aspect of human intelligence is the ability to imagine -- composing learned concepts in novel ways -- to make sense of new scenarios. Such capacity is not yet attained for machine learning systems. In this work, in the context of visual reasoning, we show how modularity can be leveraged to derive a compositional ... |
2104.12050 | Chih-Yi Chiu | Munlika Rattaphun, Wen-Chieh Fang, and Chih-Yi Chiu | Attention on Global-Local Representation Spaces in Recommender Systems | This paper was accepted by IEEE Transactions on Computational Social
Systems (TCSS) in November 2021 | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this study, we present a novel clustering-based collaborative filtering
(CF) method for recommender systems. Clustering-based CF methods can
effectively deal with data sparsity and scalability problems. However, most of
them are applied to a single representation space, which might not characterize
complex user-it... | [
{
"created": "Sun, 25 Apr 2021 02:21:10 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Nov 2021 13:31:28 GMT",
"version": "v2"
}
] | 2021-11-17 | [
[
"Rattaphun",
"Munlika",
""
],
[
"Fang",
"Wen-Chieh",
""
],
[
"Chiu",
"Chih-Yi",
""
]
] | In this study, we present a novel clustering-based collaborative filtering (CF) method for recommender systems. Clustering-based CF methods can effectively deal with data sparsity and scalability problems. However, most of them are applied to a single representation space, which might not characterize complex user-item... |
1503.02086 | Hemant Purohit | Hemant Purohit (1,2), Tanvi Banerjee (1,2), Andrew Hampton (1,3),
Valerie L. Shalin (1,3), Nayanesh Bhandutia (4) and Amit P. Sheth (1,2) ((1)
Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), Wright
State University, USA, (2) Department of Computer Science and Engineering,
(3) Department of... | Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study
of Twitter | null | null | null | null | cs.SI cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Public institutions are increasingly reliant on data from social media sites
to measure public attitude and provide timely public engagement. Such reliance
includes the exploration of public views on important social issues such as
gender-based violence (GBV). In this study, we examine big (social) data
consisting of... | [
{
"created": "Fri, 6 Mar 2015 21:02:59 GMT",
"version": "v1"
},
{
"created": "Mon, 29 Jun 2015 19:08:52 GMT",
"version": "v2"
}
] | 2015-06-30 | [
[
"Purohit",
"Hemant",
""
],
[
"Banerjee",
"Tanvi",
""
],
[
"Hampton",
"Andrew",
""
],
[
"Shalin",
"Valerie L.",
""
],
[
"Bhandutia",
"Nayanesh",
""
],
[
"Sheth",
"Amit P.",
""
]
] | Public institutions are increasingly reliant on data from social media sites to measure public attitude and provide timely public engagement. Such reliance includes the exploration of public views on important social issues such as gender-based violence (GBV). In this study, we examine big (social) data consisting of n... |
2203.15970 | Jonathan Warrell | Jonathan Warrell, Alexey Potapov, Adam Vandervorst, Ben Goertzel | A meta-probabilistic-programming language for bisimulation of
probabilistic and non-well-founded type systems | 18 pages, 3 figures | null | null | null | cs.AI cs.FL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a formal meta-language for probabilistic programming, capable of
expressing both programs and the type systems in which they are embedded. We
are motivated here by the desire to allow an AGI to learn not only relevant
knowledge (programs/proofs), but also appropriate ways of reasoning
(logics/type system... | [
{
"created": "Wed, 30 Mar 2022 01:07:37 GMT",
"version": "v1"
},
{
"created": "Sun, 1 May 2022 01:29:48 GMT",
"version": "v2"
},
{
"created": "Tue, 16 Aug 2022 06:07:57 GMT",
"version": "v3"
}
] | 2022-08-17 | [
[
"Warrell",
"Jonathan",
""
],
[
"Potapov",
"Alexey",
""
],
[
"Vandervorst",
"Adam",
""
],
[
"Goertzel",
"Ben",
""
]
] | We introduce a formal meta-language for probabilistic programming, capable of expressing both programs and the type systems in which they are embedded. We are motivated here by the desire to allow an AGI to learn not only relevant knowledge (programs/proofs), but also appropriate ways of reasoning (logics/type systems)... |
2405.18786 | Hongduan Tian | Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-ming Cheung, Bo Han | MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing
Optimized Kernel Dependence | null | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In cross-domain few-shot classification, \emph{nearest centroid classifier}
(NCC) aims to learn representations to construct a metric space where few-shot
classification can be performed by measuring the similarities between samples
and the prototype of each class. An intuition behind NCC is that each sample is
pulle... | [
{
"created": "Wed, 29 May 2024 05:59:52 GMT",
"version": "v1"
}
] | 2024-05-30 | [
[
"Tian",
"Hongduan",
""
],
[
"Liu",
"Feng",
""
],
[
"Liu",
"Tongliang",
""
],
[
"Du",
"Bo",
""
],
[
"Cheung",
"Yiu-ming",
""
],
[
"Han",
"Bo",
""
]
] | In cross-domain few-shot classification, \emph{nearest centroid classifier} (NCC) aims to learn representations to construct a metric space where few-shot classification can be performed by measuring the similarities between samples and the prototype of each class. An intuition behind NCC is that each sample is pulled ... |
2104.13135 | Fotios Logothetis Dr | Roberto Mecca, Fotios Logothetis, Ignas Budvytis, Roberto Cipolla | LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Three-dimensional reconstruction of objects from shading information is a
challenging task in computer vision. As most of the approaches facing the
Photometric Stereo problem use simplified far-field assumptions, real-world
scenarios have essentially more complex physical effects that need to be
handled for accuratel... | [
{
"created": "Tue, 27 Apr 2021 12:30:42 GMT",
"version": "v1"
},
{
"created": "Tue, 12 Oct 2021 16:32:29 GMT",
"version": "v2"
}
] | 2021-10-13 | [
[
"Mecca",
"Roberto",
""
],
[
"Logothetis",
"Fotios",
""
],
[
"Budvytis",
"Ignas",
""
],
[
"Cipolla",
"Roberto",
""
]
] | Three-dimensional reconstruction of objects from shading information is a challenging task in computer vision. As most of the approaches facing the Photometric Stereo problem use simplified far-field assumptions, real-world scenarios have essentially more complex physical effects that need to be handled for accurately ... |
1912.08785 | Piotr S. Maci\k{a}g | Piotr S. Maci\k{a}g (1), Marzena Kryszkiewicz (1), Robert Bembenik
(1), Jesus L. Lobo (2), Javier Del Ser (2 and 3) ((1) Institute of Computer
Science, Warsaw University of Technology, Warsaw, Poland, (2) TECNALIA Parque
Tecnol\'ogico de Bizkaia, Derio, Spain, (3) University of the Basque Country
UPV/EHU, Bilba... | Unsupervised Anomaly Detection in Stream Data with Online Evolving
Spiking Neural Networks | 52 pages | Neural Networks, Volume 139, 2021, Pages 118-139 | 10.1016/j.neunet.2021.02.017 | null | cs.NE cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Unsupervised anomaly discovery in stream data is a research topic with many
practical applications. However, in many cases, it is not easy to collect
enough training data with labeled anomalies for supervised learning of an
anomaly detector in order to deploy it later for identification of real
anomalies in streaming... | [
{
"created": "Wed, 18 Dec 2019 18:36:01 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Mar 2021 20:17:42 GMT",
"version": "v2"
}
] | 2021-03-10 | [
[
"Maciąg",
"Piotr S.",
"",
"2 and 3"
],
[
"Kryszkiewicz",
"Marzena",
"",
"2 and 3"
],
[
"Bembenik",
"Robert",
"",
"2 and 3"
],
[
"Lobo",
"Jesus L.",
"",
"2 and 3"
],
[
"Del Ser",
"Javier",
"",
"2 and 3"
]
] | Unsupervised anomaly discovery in stream data is a research topic with many practical applications. However, in many cases, it is not easy to collect enough training data with labeled anomalies for supervised learning of an anomaly detector in order to deploy it later for identification of real anomalies in streaming d... |
2211.09106 | Weiqiang Yuan | Xinrui Jia, Ola Svensson, Weiqiang Yuan | The Exact Bipartite Matching Polytope Has Exponential Extension
Complexity | SODA 2023 | null | null | null | cs.CC cs.DM | http://creativecommons.org/licenses/by/4.0/ | Given a graph with edges colored red or blue and an integer $k$, the exact
perfect matching problem asks if there exists a perfect matching with exactly
$k$ red edges. There exists a randomized polylogarithmic-time parallel
algorithm to solve this problem, dating back to the eighties, but no
deterministic polynomial-... | [
{
"created": "Wed, 16 Nov 2022 18:47:39 GMT",
"version": "v1"
}
] | 2022-11-17 | [
[
"Jia",
"Xinrui",
""
],
[
"Svensson",
"Ola",
""
],
[
"Yuan",
"Weiqiang",
""
]
] | Given a graph with edges colored red or blue and an integer $k$, the exact perfect matching problem asks if there exists a perfect matching with exactly $k$ red edges. There exists a randomized polylogarithmic-time parallel algorithm to solve this problem, dating back to the eighties, but no deterministic polynomial-ti... |
1611.06587 | Mithileysh Sathiyanarayanan Mr | Mithileysh Sathiyanarayanan and Tobias Mulling | Wellformedness Properties in Euler Diagrams: An Eye Tracking Study for
Visualisation Evaluation | 4 pages, 2 figures, the Brazilian Computing Society, the XIV
Brazilian Symposium on Human Factors in Computer Systems (IHC 2015) | null | null | null | cs.HC cs.CY cs.SI | http://creativecommons.org/publicdomain/zero/1.0/ | In the field of information visualisation, Euler diagrams are an important
tool used in various application areas such as engineering, medicine and social
analysis. To effectively use Euler diagrams, some of the wellformedness
properties needs to be avoided, as they are considered to reduce user
comprehension. From t... | [
{
"created": "Sun, 20 Nov 2016 20:33:11 GMT",
"version": "v1"
}
] | 2016-11-22 | [
[
"Sathiyanarayanan",
"Mithileysh",
""
],
[
"Mulling",
"Tobias",
""
]
] | In the field of information visualisation, Euler diagrams are an important tool used in various application areas such as engineering, medicine and social analysis. To effectively use Euler diagrams, some of the wellformedness properties needs to be avoided, as they are considered to reduce user comprehension. From the... |
2108.06167 | Haoming Li | Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan,
Dapeng Liu, Lei Xiao, Qing He | Follow the Prophet: Accurate Online Conversion Rate Prediction in the
Face of Delayed Feedback | In Proceedings of the 44th International ACM SIGIR Conference on
Research and Development in Information Retrieval (SIGIR '21), July 11--15,
2021, Virtual Event, Canada. ACM, New York, NY, USA, 5 pages.
https://doi.org/10.1145/3404835.3463045 | null | 10.1145/3404835.3463045 | null | cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | The delayed feedback problem is one of the imperative challenges in online
advertising, which is caused by the highly diversified feedback delay of a
conversion varying from a few minutes to several days. It is hard to design an
appropriate online learning system under these non-identical delay for
different types of... | [
{
"created": "Fri, 13 Aug 2021 10:51:09 GMT",
"version": "v1"
}
] | 2021-08-16 | [
[
"Li",
"Haoming",
""
],
[
"Pan",
"Feiyang",
""
],
[
"Ao",
"Xiang",
""
],
[
"Yang",
"Zhao",
""
],
[
"Lu",
"Min",
""
],
[
"Pan",
"Junwei",
""
],
[
"Liu",
"Dapeng",
""
],
[
"Xiao",
"Lei",
""
]... | The delayed feedback problem is one of the imperative challenges in online advertising, which is caused by the highly diversified feedback delay of a conversion varying from a few minutes to several days. It is hard to design an appropriate online learning system under these non-identical delay for different types of a... |
0911.3641 | Loet Leydesdorff | Rob Goldstone, Loet Leydesdorff | The Import and Export of Cognitive Science | null | Cognitive Science 30(6) (2006), 983-993 | null | null | cs.DL physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | From its inception, a large part of the motivation for Cognitive Science has
been the need for an interdisciplinary journal for the study of minds and
intelligent systems. One threat to the interdisciplinarity of Cognitive
Science, both the field and journal, is that it may become, or already be, too
dominated by psy... | [
{
"created": "Wed, 18 Nov 2009 20:00:02 GMT",
"version": "v1"
}
] | 2009-11-19 | [
[
"Goldstone",
"Rob",
""
],
[
"Leydesdorff",
"Loet",
""
]
] | From its inception, a large part of the motivation for Cognitive Science has been the need for an interdisciplinary journal for the study of minds and intelligent systems. One threat to the interdisciplinarity of Cognitive Science, both the field and journal, is that it may become, or already be, too dominated by psych... |
2310.12666 | Segev Wasserkrug | Segev Wasserkrug, Takayuki Osogami | Who Benefits from a Multi-Cloud Market? A Trading Networks Based
Analysis | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In enterprise cloud computing, there is a big and increasing investment to
move to multi-cloud computing, which allows enterprises to seamlessly utilize
IT resources from multiple cloud providers, so as to take advantage of
different cloud providers' capabilities and costs. This investment raises
several key question... | [
{
"created": "Thu, 19 Oct 2023 11:49:34 GMT",
"version": "v1"
}
] | 2023-10-20 | [
[
"Wasserkrug",
"Segev",
""
],
[
"Osogami",
"Takayuki",
""
]
] | In enterprise cloud computing, there is a big and increasing investment to move to multi-cloud computing, which allows enterprises to seamlessly utilize IT resources from multiple cloud providers, so as to take advantage of different cloud providers' capabilities and costs. This investment raises several key questions:... |
2102.01409 | B{\l}a\.zej Leporowski Mr | B{\l}a\.zej Leporowski, Daniella Tola, Casper Hansen and Alexandros
Iosifidis | AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset | null | null | null | null | cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Screwdriving is one of the most popular industrial processes. As such, it is
increasingly common to automate that procedure by using various robots. Even
though the automation increases the efficiency of the screwdriving process, if
the process is not monitored correctly, faults may occur during operation,
which can ... | [
{
"created": "Tue, 2 Feb 2021 09:59:23 GMT",
"version": "v1"
},
{
"created": "Sat, 6 Feb 2021 09:17:21 GMT",
"version": "v2"
}
] | 2021-02-09 | [
[
"Leporowski",
"Błażej",
""
],
[
"Tola",
"Daniella",
""
],
[
"Hansen",
"Casper",
""
],
[
"Iosifidis",
"Alexandros",
""
]
] | Screwdriving is one of the most popular industrial processes. As such, it is increasingly common to automate that procedure by using various robots. Even though the automation increases the efficiency of the screwdriving process, if the process is not monitored correctly, faults may occur during operation, which can im... |
1706.02247 | Andre Braga Reis | Andre B. Reis, Susana Sargento, Ozan K. Tonguz | Smarter Cities with Parked Cars as Roadside Units | null | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Real-time monitoring of traffic density, road congestion, public
transportation, and parking availability are key to realizing the vision of a
smarter city and, with the advent of vehicular networking technologies such as
IEEE 802.11p and WAVE, this information can now be gathered directly from the
vehicles in an urb... | [
{
"created": "Wed, 7 Jun 2017 16:40:16 GMT",
"version": "v1"
}
] | 2017-06-08 | [
[
"Reis",
"Andre B.",
""
],
[
"Sargento",
"Susana",
""
],
[
"Tonguz",
"Ozan K.",
""
]
] | Real-time monitoring of traffic density, road congestion, public transportation, and parking availability are key to realizing the vision of a smarter city and, with the advent of vehicular networking technologies such as IEEE 802.11p and WAVE, this information can now be gathered directly from the vehicles in an urban... |
2311.15221 | Zihao Wang | Kaizhao Liu, Zihao Wang, Lei Wu | The Local Landscape of Phase Retrieval Under Limited Samples | 41 pages | null | null | null | cs.IT cs.LG eess.SP math.IT math.OC math.ST stat.ML stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we provide a fine-grained analysis of the local landscape of
phase retrieval under the regime with limited samples. Our aim is to ascertain
the minimal sample size necessary to guarantee a benign local landscape
surrounding global minima in high dimensions. Let $n$ and $d$ denote the sample
size and in... | [
{
"created": "Sun, 26 Nov 2023 07:22:35 GMT",
"version": "v1"
}
] | 2023-11-28 | [
[
"Liu",
"Kaizhao",
""
],
[
"Wang",
"Zihao",
""
],
[
"Wu",
"Lei",
""
]
] | In this paper, we provide a fine-grained analysis of the local landscape of phase retrieval under the regime with limited samples. Our aim is to ascertain the minimal sample size necessary to guarantee a benign local landscape surrounding global minima in high dimensions. Let $n$ and $d$ denote the sample size and inpu... |
1606.02738 | Matthieu Schaller | Matthieu Schaller (1), Pedro Gonnet (2,3), Aidan B. G. Chalk (2),
Peter W. Draper (1) ((1) ICC, Durham University, (2) ECS, Durham University,
(3) Google Switzerland GmbH) | SWIFT: Using task-based parallelism, fully asynchronous communication,
and graph partition-based domain decomposition for strong scaling on more
than 100,000 cores | 9 pages, 7 figures. Code, scripts and examples available at
http://icc.dur.ac.uk/swift/ | null | 10.1145/2929908.2929916 | null | cs.DC astro-ph.IM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new open-source cosmological code, called SWIFT, designed to
solve the equations of hydrodynamics using a particle-based approach (Smooth
Particle Hydrodynamics) on hybrid shared/distributed-memory architectures.
SWIFT was designed from the bottom up to provide excellent strong scaling on
both commodity ... | [
{
"created": "Wed, 8 Jun 2016 20:22:15 GMT",
"version": "v1"
}
] | 2022-08-03 | [
[
"Schaller",
"Matthieu",
""
],
[
"Gonnet",
"Pedro",
""
],
[
"Chalk",
"Aidan B. G.",
""
],
[
"Draper",
"Peter W.",
""
]
] | We present a new open-source cosmological code, called SWIFT, designed to solve the equations of hydrodynamics using a particle-based approach (Smooth Particle Hydrodynamics) on hybrid shared/distributed-memory architectures. SWIFT was designed from the bottom up to provide excellent strong scaling on both commodity cl... |
1701.03854 | Xiaowang Zhang | Qiong Li and Xiaowang Zhang and Zhiyong Feng | PRSP: A Plugin-based Framework for RDF Stream Processing | 2 pages and 1 figure | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a plugin-based framework for RDF stream processing
named PRSP. Within this framework, we can employ SPARQL query engines to
process C-SPARQL queries with maintaining the high performance of those engines
in a simple way. Taking advantage of PRSP, we can process large-scale RDF
streams in a d... | [
{
"created": "Sat, 14 Jan 2017 00:17:53 GMT",
"version": "v1"
}
] | 2017-01-17 | [
[
"Li",
"Qiong",
""
],
[
"Zhang",
"Xiaowang",
""
],
[
"Feng",
"Zhiyong",
""
]
] | In this paper, we propose a plugin-based framework for RDF stream processing named PRSP. Within this framework, we can employ SPARQL query engines to process C-SPARQL queries with maintaining the high performance of those engines in a simple way. Taking advantage of PRSP, we can process large-scale RDF streams in a dis... |
1001.3689 | Mohsen Sardari | Mohsen Sardari, Faramarz Hendessi, Faramarz Fekri | Infocast: A New Paradigm for Collaborative Content Distribution from
Roadside Units to Vehicular Networks Using Rateless Codes | null | Proc. 6th Annual IEEE Communications Society Conference on Sensor,
Mesh and Ad Hoc Communications and Networks SECON '09, 2009, 1-9 | 10.1109/SAHCN.2009.5168939 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we address the problem of distributing a large amount of bulk
data to a sparse vehicular network from roadside infostations, using efficient
vehicle-to-vehicle collaboration. Due to the highly dynamic nature of the
underlying vehicular network topology, we depart from architectures requiring
centralize... | [
{
"created": "Wed, 20 Jan 2010 22:24:10 GMT",
"version": "v1"
}
] | 2010-01-22 | [
[
"Sardari",
"Mohsen",
""
],
[
"Hendessi",
"Faramarz",
""
],
[
"Fekri",
"Faramarz",
""
]
] | In this paper, we address the problem of distributing a large amount of bulk data to a sparse vehicular network from roadside infostations, using efficient vehicle-to-vehicle collaboration. Due to the highly dynamic nature of the underlying vehicular network topology, we depart from architectures requiring centralized ... |
1711.08319 | Mark Burgin | Mark Burgin | Systems, Actors and Agents: Operation in a multicomponent environment | null | null | null | null | cs.MA cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-agent approach has become popular in computer science and technology.
However, the conventional models of multi-agent and multicomponent systems
implicitly or explicitly assume existence of absolute time or even do not
include time in the set of defining parameters. At the same time, it is proved
theoretically ... | [
{
"created": "Thu, 16 Nov 2017 01:31:36 GMT",
"version": "v1"
}
] | 2017-11-23 | [
[
"Burgin",
"Mark",
""
]
] | Multi-agent approach has become popular in computer science and technology. However, the conventional models of multi-agent and multicomponent systems implicitly or explicitly assume existence of absolute time or even do not include time in the set of defining parameters. At the same time, it is proved theoretically an... |
2304.09728 | Songhua Liu | Songhua Liu, Jingwen Ye, Xinchao Wang | Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate | Work in progress | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Style transfer aims to render the style of a given image for style reference
to another given image for content reference, and has been widely adopted in
artistic generation and image editing. Existing approaches either apply the
holistic style of the style image in a global manner, or migrate local colors
and textur... | [
{
"created": "Wed, 19 Apr 2023 15:15:36 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Apr 2023 04:17:31 GMT",
"version": "v2"
}
] | 2023-04-21 | [
[
"Liu",
"Songhua",
""
],
[
"Ye",
"Jingwen",
""
],
[
"Wang",
"Xinchao",
""
]
] | Style transfer aims to render the style of a given image for style reference to another given image for content reference, and has been widely adopted in artistic generation and image editing. Existing approaches either apply the holistic style of the style image in a global manner, or migrate local colors and textures... |
2106.11297 | Michael S. Ryoo | Michael S. Ryoo, AJ Piergiovanni, Anurag Arnab, Mostafa Dehghani,
Anelia Angelova | TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? | This is the full version of the paper, extending its conference paper
at NeurIPS 2021. Version 1.1 of the code is released | NeurIPS 2021 | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we introduce a novel visual representation learning which
relies on a handful of adaptively learned tokens, and which is applicable to
both image and video understanding tasks. Instead of relying on hand-designed
splitting strategies to obtain visual tokens and processing a large number of
densely samp... | [
{
"created": "Mon, 21 Jun 2021 17:55:59 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Oct 2021 17:52:45 GMT",
"version": "v2"
},
{
"created": "Tue, 7 Dec 2021 18:11:22 GMT",
"version": "v3"
},
{
"created": "Sun, 3 Apr 2022 15:42:57 GMT",
"version": "v4"
}
] | 2022-04-05 | [
[
"Ryoo",
"Michael S.",
""
],
[
"Piergiovanni",
"AJ",
""
],
[
"Arnab",
"Anurag",
""
],
[
"Dehghani",
"Mostafa",
""
],
[
"Angelova",
"Anelia",
""
]
] | In this paper, we introduce a novel visual representation learning which relies on a handful of adaptively learned tokens, and which is applicable to both image and video understanding tasks. Instead of relying on hand-designed splitting strategies to obtain visual tokens and processing a large number of densely sample... |
2310.16836 | Shih-Yang Liu | Shih-yang Liu, Zechun Liu, Xijie Huang, Pingcheng Dong, Kwang-Ting
Cheng | LLM-FP4: 4-Bit Floating-Point Quantized Transformers | EMNLP 2023 Main Conference | Proceedings of the 2023 Conference on Empirical Methods in Natural
Language Processing | 10.18653/v1/2023.emnlp-main.39 | null | cs.CL cs.AI cs.AR cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose LLM-FP4 for quantizing both weights and activations in large
language models (LLMs) down to 4-bit floating-point values, in a post-training
manner. Existing post-training quantization (PTQ) solutions are primarily
integer-based and struggle with bit widths below 8 bits. Compared to integer
quantization, fl... | [
{
"created": "Wed, 25 Oct 2023 17:59:32 GMT",
"version": "v1"
}
] | 2024-04-30 | [
[
"Liu",
"Shih-yang",
""
],
[
"Liu",
"Zechun",
""
],
[
"Huang",
"Xijie",
""
],
[
"Dong",
"Pingcheng",
""
],
[
"Cheng",
"Kwang-Ting",
""
]
] | We propose LLM-FP4 for quantizing both weights and activations in large language models (LLMs) down to 4-bit floating-point values, in a post-training manner. Existing post-training quantization (PTQ) solutions are primarily integer-based and struggle with bit widths below 8 bits. Compared to integer quantization, floa... |
cs/0111011 | Giovambattista Ianni | Giovambattista Ianni | Sintesi di algoritmi con SKY | In italian | null | null | Unical Math. Dept. TR 11-2001 | cs.LO | null | This paper describes the semantics and ideas about SKY, a logic programming
language intended in order to specify algorithmic strategies for the evaluation
of problems.
| [
{
"created": "Tue, 6 Nov 2001 17:02:25 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Ianni",
"Giovambattista",
""
]
] | This paper describes the semantics and ideas about SKY, a logic programming language intended in order to specify algorithmic strategies for the evaluation of problems. |
2109.14696 | Sihao Zhao | Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Zhang | Time-Distributed Feature Learning in Network Traffic Classification for
Internet of Things | null | null | null | null | cs.NI cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The plethora of Internet of Things (IoT) devices leads to explosive network
traffic. The network traffic classification (NTC) is an essential tool to
explore behaviours of network flows, and NTC is required for Internet service
providers (ISPs) to manage the performance of the IoT network. We propose a
novel network ... | [
{
"created": "Wed, 29 Sep 2021 20:01:40 GMT",
"version": "v1"
}
] | 2021-10-01 | [
[
"Manjunath",
"Yoga Suhas Kuruba",
""
],
[
"Zhao",
"Sihao",
""
],
[
"Zhang",
"Xiao-Ping",
""
]
] | The plethora of Internet of Things (IoT) devices leads to explosive network traffic. The network traffic classification (NTC) is an essential tool to explore behaviours of network flows, and NTC is required for Internet service providers (ISPs) to manage the performance of the IoT network. We propose a novel network da... |
2005.06311 | Zhihao Gavin Tang | Zhiyi Huang, Zhihao Gavin Tang, Xiaowei Wu and Yuhao Zhang | Fully Online Matching II: Beating Ranking and Water-filling | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Karp, Vazirani, and Vazirani (STOC 1990) initiated the study of online
bipartite matching, which has held a central role in online algorithms ever
since. Of particular importance are the Ranking algorithm for integral matching
and the Water-filling algorithm for fractional matching. Most algorithms in the
literature ... | [
{
"created": "Wed, 13 May 2020 13:33:21 GMT",
"version": "v1"
}
] | 2020-05-14 | [
[
"Huang",
"Zhiyi",
""
],
[
"Tang",
"Zhihao Gavin",
""
],
[
"Wu",
"Xiaowei",
""
],
[
"Zhang",
"Yuhao",
""
]
] | Karp, Vazirani, and Vazirani (STOC 1990) initiated the study of online bipartite matching, which has held a central role in online algorithms ever since. Of particular importance are the Ranking algorithm for integral matching and the Water-filling algorithm for fractional matching. Most algorithms in the literature ca... |
cs/0305033 | Johan Schubert | Ulla Bergsten, Johan Schubert, Per Svensson | Beslutst\"odssystemet Dezzy - en \"oversikt | 18 pages, 8 figures, in Swedish, with appendix in English | in Dokumentation 7 juni av Seminarium och fackutst\"allning om
samband, sensorer och datorer f\"or ledningssystem till f\"orsvaret
(MILINF'89), pp. 07B2:19-31, Enk\"oping, June 1989, Telub AB, V\"axj\"o, 1989 | null | FOA Report B 20078-2.7 | cs.AI cs.DB | null | Within the scope of the three-year ANTI-SUBMARINE WARFARE project of the
National Defence Research Establishment, the INFORMATION SYSTEMS subproject has
developed the demonstration prototype Dezzy for handling and analysis of
intelligence reports concerning foreign underwater activities.
-----
Inom ramen f\"or FO... | [
{
"created": "Fri, 16 May 2003 18:26:22 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Bergsten",
"Ulla",
""
],
[
"Schubert",
"Johan",
""
],
[
"Svensson",
"Per",
""
]
] | Within the scope of the three-year ANTI-SUBMARINE WARFARE project of the National Defence Research Establishment, the INFORMATION SYSTEMS subproject has developed the demonstration prototype Dezzy for handling and analysis of intelligence reports concerning foreign underwater activities. ----- Inom ramen f\"or FOA:s tr... |
1509.01659 | Armen Aghajanyan | Armen Aghajanyan | Gravitational Clustering | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The downfall of many supervised learning algorithms, such as neural networks,
is the inherent need for a large amount of training data. Although there is a
lot of buzz about big data, there is still the problem of doing classification
from a small dataset. Other methods such as support vector machines, although
capab... | [
{
"created": "Sat, 5 Sep 2015 03:37:50 GMT",
"version": "v1"
}
] | 2015-09-08 | [
[
"Aghajanyan",
"Armen",
""
]
] | The downfall of many supervised learning algorithms, such as neural networks, is the inherent need for a large amount of training data. Although there is a lot of buzz about big data, there is still the problem of doing classification from a small dataset. Other methods such as support vector machines, although capable... |
2403.04600 | Reza Dastbasteh | Reza Dastbasteh, Farzad Padashnick, Pedro M. Crespo, Markus Grassl,
and Javad Sharafi | Equivalence of constacyclic codes with shift constants of different
orders | 15 pages, 4 figures, 2 tables | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | Let $a$ and $b$ be two non-zero elements of a finite field $\mathbb{F}_q$,
where $q>2$. It has been shown that if $a$ and $b$ have the same multiplicative
order in $\mathbb{F}_q$, then the families of $a$-constacyclic and
$b$-constacyclic codes over $\mathbb{F}_q$ are monomially equivalent. In this
paper, we investig... | [
{
"created": "Thu, 7 Mar 2024 15:48:19 GMT",
"version": "v1"
}
] | 2024-03-08 | [
[
"Dastbasteh",
"Reza",
""
],
[
"Padashnick",
"Farzad",
""
],
[
"Crespo",
"Pedro M.",
""
],
[
"Grassl",
"Markus",
""
],
[
"Sharafi",
"Javad",
""
]
] | Let $a$ and $b$ be two non-zero elements of a finite field $\mathbb{F}_q$, where $q>2$. It has been shown that if $a$ and $b$ have the same multiplicative order in $\mathbb{F}_q$, then the families of $a$-constacyclic and $b$-constacyclic codes over $\mathbb{F}_q$ are monomially equivalent. In this paper, we investigat... |
2201.05819 | Yuefei Lyu | Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Philip S. Yu, Sihong Xie, Xi
Zhang | Interpretable and Effective Reinforcement Learning for Attacking against
Graph-based Rumor Detection | null | null | null | null | cs.LG cs.CR cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Social networks are frequently polluted by rumors, which can be detected by
advanced models such as graph neural networks. However, the models are
vulnerable to attacks and understanding the vulnerabilities is critical to
rumor detection in practice. To discover subtle vulnerabilities, we design a
powerful attacking ... | [
{
"created": "Sat, 15 Jan 2022 10:06:29 GMT",
"version": "v1"
},
{
"created": "Fri, 14 Oct 2022 14:02:13 GMT",
"version": "v2"
}
] | 2022-10-17 | [
[
"Lyu",
"Yuefei",
""
],
[
"Yang",
"Xiaoyu",
""
],
[
"Liu",
"Jiaxin",
""
],
[
"Yu",
"Philip S.",
""
],
[
"Xie",
"Sihong",
""
],
[
"Zhang",
"Xi",
""
]
] | Social networks are frequently polluted by rumors, which can be detected by advanced models such as graph neural networks. However, the models are vulnerable to attacks and understanding the vulnerabilities is critical to rumor detection in practice. To discover subtle vulnerabilities, we design a powerful attacking al... |
1905.09345 | Yuke Wang | Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding | KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | K-means is a popular but computation-intensive algorithm for unsupervised
learning. To address this issue, we present KPynq, a work-efficient
triangle-inequality based K-means on FPGA for handling large-size,
high-dimension datasets. KPynq leverages an algorithm-level optimization to
balance the performance and compu... | [
{
"created": "Wed, 22 May 2019 19:41:17 GMT",
"version": "v1"
}
] | 2019-05-24 | [
[
"Wang",
"Yuke",
""
],
[
"Zeng",
"Zhaorui",
""
],
[
"Feng",
"Boyuan",
""
],
[
"Deng",
"Lei",
""
],
[
"Ding",
"Yufei",
""
]
] | K-means is a popular but computation-intensive algorithm for unsupervised learning. To address this issue, we present KPynq, a work-efficient triangle-inequality based K-means on FPGA for handling large-size, high-dimension datasets. KPynq leverages an algorithm-level optimization to balance the performance and computa... |
2310.11442 | Ludwig Stage | Ludwig Stage and Dimka Karastoyanova | Trusted Provenance of Automated, Collaborative and Adaptive Data
Processing Pipelines | 22 pages, 6 figures | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | To benefit from the abundance of data and the insights it brings data
processing pipelines are being used in many areas of research and development
in both industry and academia. One approach to automating data processing
pipelines is the workflow technology, as it also supports collaborative,
trial-and-error experim... | [
{
"created": "Tue, 17 Oct 2023 17:52:27 GMT",
"version": "v1"
}
] | 2023-10-18 | [
[
"Stage",
"Ludwig",
""
],
[
"Karastoyanova",
"Dimka",
""
]
] | To benefit from the abundance of data and the insights it brings data processing pipelines are being used in many areas of research and development in both industry and academia. One approach to automating data processing pipelines is the workflow technology, as it also supports collaborative, trial-and-error experimen... |
1606.03418 | Lili Su | Lili Su, Nitin H. Vaidya | Asynchronous Distributed Hypothesis Testing in the Presence of Crash
Failures | null | null | null | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the problem of distributed hypothesis testing in
multi-agent networks, where agents repeatedly collect local observations about
an unknown state of the world, and try to collaboratively detect the true state
through information exchange. We focus on the impact of failures and asynchrony
(two fund... | [
{
"created": "Thu, 4 Feb 2016 21:12:53 GMT",
"version": "v1"
}
] | 2016-06-13 | [
[
"Su",
"Lili",
""
],
[
"Vaidya",
"Nitin H.",
""
]
] | This paper addresses the problem of distributed hypothesis testing in multi-agent networks, where agents repeatedly collect local observations about an unknown state of the world, and try to collaboratively detect the true state through information exchange. We focus on the impact of failures and asynchrony (two fundam... |
2110.12567 | Shujian Zhang | Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan
Zhou | Alignment Attention by Matching Key and Query Distributions | NeurIPS 2021; Our code is publicly available at
https://github.com/szhang42/alignment_attention | null | null | null | cs.LG cs.CL stat.ML | http://creativecommons.org/licenses/by/4.0/ | The neural attention mechanism has been incorporated into deep neural
networks to achieve state-of-the-art performance in various domains. Most such
models use multi-head self-attention which is appealing for the ability to
attend to information from different perspectives. This paper introduces
alignment attention t... | [
{
"created": "Mon, 25 Oct 2021 00:54:57 GMT",
"version": "v1"
}
] | 2021-10-26 | [
[
"Zhang",
"Shujian",
""
],
[
"Fan",
"Xinjie",
""
],
[
"Zheng",
"Huangjie",
""
],
[
"Tanwisuth",
"Korawat",
""
],
[
"Zhou",
"Mingyuan",
""
]
] | The neural attention mechanism has been incorporated into deep neural networks to achieve state-of-the-art performance in various domains. Most such models use multi-head self-attention which is appealing for the ability to attend to information from different perspectives. This paper introduces alignment attention tha... |
2112.10944 | Yonatan Ashenafi | Yonatan Ashenafi, Piyush Pandita, Sayan Ghosh | Reinforcement Learning based Sequential Batch-sampling for Bayesian
Optimal Experimental Design | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Engineering problems that are modeled using sophisticated mathematical
methods or are characterized by expensive-to-conduct tests or experiments, are
encumbered with limited budget or finite computational resources. Moreover,
practical scenarios in the industry, impose restrictions, based on logistics
and preference,... | [
{
"created": "Tue, 21 Dec 2021 02:25:23 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Dec 2021 07:15:09 GMT",
"version": "v2"
}
] | 2021-12-24 | [
[
"Ashenafi",
"Yonatan",
""
],
[
"Pandita",
"Piyush",
""
],
[
"Ghosh",
"Sayan",
""
]
] | Engineering problems that are modeled using sophisticated mathematical methods or are characterized by expensive-to-conduct tests or experiments, are encumbered with limited budget or finite computational resources. Moreover, practical scenarios in the industry, impose restrictions, based on logistics and preference, o... |
2405.05496 | Jie Zhou | Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai
Chen, Liang He | Boosting Large Language Models with Continual Learning for Aspect-based
Sentiment Analysis | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Aspect-based sentiment analysis (ABSA) is an important subtask of sentiment
analysis, which aims to extract the aspects and predict their sentiments. Most
existing studies focus on improving the performance of the target domain by
fine-tuning domain-specific models (trained on source domains) based on the
target doma... | [
{
"created": "Thu, 9 May 2024 02:00:07 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Ding",
"Xuanwen",
""
],
[
"Zhou",
"Jie",
""
],
[
"Dou",
"Liang",
""
],
[
"Chen",
"Qin",
""
],
[
"Wu",
"Yuanbin",
""
],
[
"Chen",
"Chengcai",
""
],
[
"He",
"Liang",
""
]
] | Aspect-based sentiment analysis (ABSA) is an important subtask of sentiment analysis, which aims to extract the aspects and predict their sentiments. Most existing studies focus on improving the performance of the target domain by fine-tuning domain-specific models (trained on source domains) based on the target domain... |
2207.05714 | Riccardo Barbano | Riccardo Barbano, Johannes Leuschner, Javier Antor\'an, Bangti Jin,
Jos\'e Miguel Hern\'andez-Lobato | Bayesian Experimental Design for Computed Tomography with the Linearised
Deep Image Prior | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate adaptive design based on a single sparse pilot scan for
generating effective scanning strategies for computed tomography
reconstruction. We propose a novel approach using the linearised deep image
prior. It allows incorporating information from the pilot measurements into the
angle selection criteria, ... | [
{
"created": "Mon, 11 Jul 2022 12:45:31 GMT",
"version": "v1"
}
] | 2022-07-13 | [
[
"Barbano",
"Riccardo",
""
],
[
"Leuschner",
"Johannes",
""
],
[
"Antorán",
"Javier",
""
],
[
"Jin",
"Bangti",
""
],
[
"Hernández-Lobato",
"José Miguel",
""
]
] | We investigate adaptive design based on a single sparse pilot scan for generating effective scanning strategies for computed tomography reconstruction. We propose a novel approach using the linearised deep image prior. It allows incorporating information from the pilot measurements into the angle selection criteria, wh... |
1808.00616 | Daniel L. Pimentel-Alarc\'on | Daniel L. Pimentel-Alarc\'on | Mixture Matrix Completion | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Completing a data matrix X has become an ubiquitous problem in modern data
science, with applications in recommender systems, computer vision, and
networks inference, to name a few. One typical assumption is that X is
low-rank. A more general model assumes that each column of X corresponds to one
of several low-rank ... | [
{
"created": "Thu, 2 Aug 2018 01:09:24 GMT",
"version": "v1"
}
] | 2018-08-03 | [
[
"Pimentel-Alarcón",
"Daniel L.",
""
]
] | Completing a data matrix X has become an ubiquitous problem in modern data science, with applications in recommender systems, computer vision, and networks inference, to name a few. One typical assumption is that X is low-rank. A more general model assumes that each column of X corresponds to one of several low-rank ma... |
2306.13418 | Jongwook Si | Jongwook Si and Sungyoung Kim | PP-GAN : Style Transfer from Korean Portraits to ID Photos Using
Landmark Extractor with GAN | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The objective of a style transfer is to maintain the content of an image
while transferring the style of another image. However, conventional research
on style transfer has a significant limitation in preserving facial landmarks,
such as the eyes, nose, and mouth, which are crucial for maintaining the
identity of the... | [
{
"created": "Fri, 23 Jun 2023 10:10:16 GMT",
"version": "v1"
}
] | 2023-06-26 | [
[
"Si",
"Jongwook",
""
],
[
"Kim",
"Sungyoung",
""
]
] | The objective of a style transfer is to maintain the content of an image while transferring the style of another image. However, conventional research on style transfer has a significant limitation in preserving facial landmarks, such as the eyes, nose, and mouth, which are crucial for maintaining the identity of the i... |
2407.19904 | Rub\'en Ruiz-Torrubiano | Rub\'en Ruiz-Torrubiano | Modeling Local Search Metaheuristics Using Markov Decision Processes | null | null | null | null | cs.NE | http://creativecommons.org/licenses/by/4.0/ | Local search metaheuristics like tabu search or simulated annealing are
popular heuristic optimization algorithms for finding near-optimal solutions
for combinatorial optimization problems. However, it is still challenging for
researchers and practitioners to analyze their behaviour and systematically
choose one over... | [
{
"created": "Mon, 29 Jul 2024 11:28:30 GMT",
"version": "v1"
}
] | 2024-07-30 | [
[
"Ruiz-Torrubiano",
"Rubén",
""
]
] | Local search metaheuristics like tabu search or simulated annealing are popular heuristic optimization algorithms for finding near-optimal solutions for combinatorial optimization problems. However, it is still challenging for researchers and practitioners to analyze their behaviour and systematically choose one over a... |
2307.15433 | Dimitri Korsch | Dimitri Korsch, Paul Bodesheim, Gunnar Brehm, Joachim Denzler | Automated Visual Monitoring of Nocturnal Insects with Light-based Camera
Traps | Presented at the FGVC workshop at the CVPR2022 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic camera-assisted monitoring of insects for abundance estimations is
crucial to understand and counteract ongoing insect decline. In this paper, we
present two datasets of nocturnal insects, especially moths as a subset of
Lepidoptera, photographed in Central Europe. One of the datasets, the EU-Moths
dataset,... | [
{
"created": "Fri, 28 Jul 2023 09:31:36 GMT",
"version": "v1"
}
] | 2023-07-31 | [
[
"Korsch",
"Dimitri",
""
],
[
"Bodesheim",
"Paul",
""
],
[
"Brehm",
"Gunnar",
""
],
[
"Denzler",
"Joachim",
""
]
] | Automatic camera-assisted monitoring of insects for abundance estimations is crucial to understand and counteract ongoing insect decline. In this paper, we present two datasets of nocturnal insects, especially moths as a subset of Lepidoptera, photographed in Central Europe. One of the datasets, the EU-Moths dataset, w... |
2407.20648 | JongWoo Kim | JongWoo Kim, SeongYeub Chu, HyeongMin Park, Bryan Wong, MunYong Yi | Leveraging Multi-facet Paths for Heterogeneous Graph Representation
Learning | 9pages | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advancements in graph neural networks (GNNs) and heterogeneous GNNs
(HGNNs) have advanced node embeddings and relationship learning for various
tasks. However, existing methods often rely on domain-specific predefined
meta-paths, which are coarse-grained and focus solely on aspects like node
type, limiting the... | [
{
"created": "Tue, 30 Jul 2024 08:45:32 GMT",
"version": "v1"
}
] | 2024-07-31 | [
[
"Kim",
"JongWoo",
""
],
[
"Chu",
"SeongYeub",
""
],
[
"Park",
"HyeongMin",
""
],
[
"Wong",
"Bryan",
""
],
[
"Yi",
"MunYong",
""
]
] | Recent advancements in graph neural networks (GNNs) and heterogeneous GNNs (HGNNs) have advanced node embeddings and relationship learning for various tasks. However, existing methods often rely on domain-specific predefined meta-paths, which are coarse-grained and focus solely on aspects like node type, limiting their... |
2110.02707 | Majid Rafiei | Andrew Pery, Majid Rafiei, Michael Simon, Wil M.P. van der Aalst | Trustworthy Artificial Intelligence and Process Mining: Challenges and
Opportunities | null | null | null | null | cs.SE cs.AI | http://creativecommons.org/licenses/by/4.0/ | The premise of this paper is that compliance with Trustworthy AI governance
best practices and regulatory frameworks is an inherently fragmented process
spanning across diverse organizational units, external stakeholders, and
systems of record, resulting in process uncertainties and in compliance gaps
that may expose... | [
{
"created": "Wed, 6 Oct 2021 12:50:47 GMT",
"version": "v1"
}
] | 2021-10-07 | [
[
"Pery",
"Andrew",
""
],
[
"Rafiei",
"Majid",
""
],
[
"Simon",
"Michael",
""
],
[
"van der Aalst",
"Wil M. P.",
""
]
] | The premise of this paper is that compliance with Trustworthy AI governance best practices and regulatory frameworks is an inherently fragmented process spanning across diverse organizational units, external stakeholders, and systems of record, resulting in process uncertainties and in compliance gaps that may expose o... |
2304.08630 | Anran Hu | Xin Guo, Anran Hu, Matteo Santamaria, Mahan Tajrobehkar, Junzi Zhang | MFGLib: A Library for Mean-Field Games | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mean-field games (MFGs) are limiting models to approximate $N$-player games,
with a number of applications. Despite the ever-growing numerical literature on
computation of MFGs, there is no library that allows researchers and
practitioners to easily create and solve their own MFG problems. The purpose of
this documen... | [
{
"created": "Mon, 17 Apr 2023 21:54:22 GMT",
"version": "v1"
}
] | 2023-04-19 | [
[
"Guo",
"Xin",
""
],
[
"Hu",
"Anran",
""
],
[
"Santamaria",
"Matteo",
""
],
[
"Tajrobehkar",
"Mahan",
""
],
[
"Zhang",
"Junzi",
""
]
] | Mean-field games (MFGs) are limiting models to approximate $N$-player games, with a number of applications. Despite the ever-growing numerical literature on computation of MFGs, there is no library that allows researchers and practitioners to easily create and solve their own MFG problems. The purpose of this document ... |
1102.1408 | Zhenghao Zhang | Zhenghao Zhang, Shuping Gong, Husheng Li, Changxing Pei | Time Stamp Attack on Wide Area Monitoring System in Smart Grid | This paper has been withdrawn by the author due to a crucial sign
error in derivation | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Security becomes an extremely important issue in smart grid. To maintain the
steady operation for smart power grid, massive measurement devices must be
allocated widely among the power grid. Previous studies are focused on false
data injection attack to the smart grid system. In practice, false data
injection attack ... | [
{
"created": "Mon, 7 Feb 2011 20:27:56 GMT",
"version": "v1"
},
{
"created": "Wed, 7 Sep 2011 23:38:31 GMT",
"version": "v2"
}
] | 2015-03-18 | [
[
"Zhang",
"Zhenghao",
""
],
[
"Gong",
"Shuping",
""
],
[
"Li",
"Husheng",
""
],
[
"Pei",
"Changxing",
""
]
] | Security becomes an extremely important issue in smart grid. To maintain the steady operation for smart power grid, massive measurement devices must be allocated widely among the power grid. Previous studies are focused on false data injection attack to the smart grid system. In practice, false data injection attack is... |
0905.2636 | Lada A. Adamic | Xiaolin Shi, Belle Tseng, Lada A. Adamic | Information Diffusion in Computer Science Citation Networks | long version of poster published at ICWSM 2009 | null | null | null | cs.DL cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper citation network is a traditional social medium for the exchange of
ideas and knowledge. In this paper we view citation networks from the
perspective of information diffusion. We study the structural features of the
information paths through the citation networks of publications in computer
science, and ana... | [
{
"created": "Fri, 15 May 2009 22:41:39 GMT",
"version": "v1"
}
] | 2009-05-19 | [
[
"Shi",
"Xiaolin",
""
],
[
"Tseng",
"Belle",
""
],
[
"Adamic",
"Lada A.",
""
]
] | The paper citation network is a traditional social medium for the exchange of ideas and knowledge. In this paper we view citation networks from the perspective of information diffusion. We study the structural features of the information paths through the citation networks of publications in computer science, and analy... |
2111.15263 | Byeonghu Na | Byeonghu Na, Yoonsik Kim, Sungrae Park | Multi-modal Text Recognition Networks: Interactive Enhancements between
Visual and Semantic Features | Accepted for publication at ECCV 2022 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Linguistic knowledge has brought great benefits to scene text recognition by
providing semantics to refine character sequences. However, since linguistic
knowledge has been applied individually on the output sequence, previous
methods have not fully utilized the semantics to understand visual clues for
text recogniti... | [
{
"created": "Tue, 30 Nov 2021 10:22:11 GMT",
"version": "v1"
},
{
"created": "Sat, 22 Jan 2022 13:01:48 GMT",
"version": "v2"
},
{
"created": "Sat, 13 Aug 2022 17:50:20 GMT",
"version": "v3"
}
] | 2022-08-16 | [
[
"Na",
"Byeonghu",
""
],
[
"Kim",
"Yoonsik",
""
],
[
"Park",
"Sungrae",
""
]
] | Linguistic knowledge has brought great benefits to scene text recognition by providing semantics to refine character sequences. However, since linguistic knowledge has been applied individually on the output sequence, previous methods have not fully utilized the semantics to understand visual clues for text recognition... |
1701.03515 | Fariborz Salehi | Fariborz Salehi, Kishore Jaganathan, Babak Hassibi | Multiple Illumination Phaseless Super-Resolution (MIPS) with
Applications To Phaseless DOA Estimation and Diffraction Imaging | To appear in ICASSP 2017 | null | null | null | cs.IT math.IT math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Phaseless super-resolution is the problem of recovering an unknown signal
from measurements of the magnitudes of the low frequency Fourier transform of
the signal. This problem arises in applications where measuring the phase, and
making high-frequency measurements, are either too costly or altogether
infeasible. The... | [
{
"created": "Thu, 12 Jan 2017 21:44:12 GMT",
"version": "v1"
}
] | 2017-01-16 | [
[
"Salehi",
"Fariborz",
""
],
[
"Jaganathan",
"Kishore",
""
],
[
"Hassibi",
"Babak",
""
]
] | Phaseless super-resolution is the problem of recovering an unknown signal from measurements of the magnitudes of the low frequency Fourier transform of the signal. This problem arises in applications where measuring the phase, and making high-frequency measurements, are either too costly or altogether infeasible. The p... |
2404.10534 | Nadezda Kirillova | Nadezda Kirillova, M. Jehanzeb Mirza, Horst Possegger, Horst Bischof | Into the Fog: Evaluating Multiple Object Tracking Robustness | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | State-of-the-art (SOTA) trackers have shown remarkable Multiple Object
Tracking (MOT) performance when trained and evaluated on current benchmarks.
However, these benchmarks primarily consist of clear scenarios, overlooking
adverse atmospheric conditions such as fog, haze, smoke and dust. As a result,
the robustness ... | [
{
"created": "Fri, 12 Apr 2024 21:41:50 GMT",
"version": "v1"
}
] | 2024-04-17 | [
[
"Kirillova",
"Nadezda",
""
],
[
"Mirza",
"M. Jehanzeb",
""
],
[
"Possegger",
"Horst",
""
],
[
"Bischof",
"Horst",
""
]
] | State-of-the-art (SOTA) trackers have shown remarkable Multiple Object Tracking (MOT) performance when trained and evaluated on current benchmarks. However, these benchmarks primarily consist of clear scenarios, overlooking adverse atmospheric conditions such as fog, haze, smoke and dust. As a result, the robustness of... |
1904.13079 | Qi Wang | Yuan Yuan and Dong Wang and Qi Wang | Anomaly Detection in Traffic Scenes via Spatial-aware Motion
Reconstruction | IEEE Transactions on Intelligent Transportation Systems | null | 10.1109/TITS.2016.2601655 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Anomaly detection from a driver's perspective when driving is important to
autonomous vehicles. As a part of Advanced Driver Assistance Systems (ADAS), it
can remind the driver about dangers timely. Compared with traditional studied
scenes such as the university campus and market surveillance videos, it is
difficult ... | [
{
"created": "Tue, 30 Apr 2019 07:14:03 GMT",
"version": "v1"
}
] | 2019-05-01 | [
[
"Yuan",
"Yuan",
""
],
[
"Wang",
"Dong",
""
],
[
"Wang",
"Qi",
""
]
] | Anomaly detection from a driver's perspective when driving is important to autonomous vehicles. As a part of Advanced Driver Assistance Systems (ADAS), it can remind the driver about dangers timely. Compared with traditional studied scenes such as the university campus and market surveillance videos, it is difficult to... |
1704.00801 | Luiz Capretz Dr. | Pradeep Waychal and Luiz Fernando Capretz | Need for a Soft Dimension | 3rd International Conference on Software Engineering, Geneva,
Switzerland, March 2017 | null | 10.5121/csit.2017.70414 | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | It is impossible to separate the human factors from software engineering
expertise during software development, because software is developed by people
and for people. The intangible nature of software has made it a difficult
product to successfully create, and an examination of the many reasons for
major software sy... | [
{
"created": "Mon, 3 Apr 2017 20:38:25 GMT",
"version": "v1"
}
] | 2017-04-05 | [
[
"Waychal",
"Pradeep",
""
],
[
"Capretz",
"Luiz Fernando",
""
]
] | It is impossible to separate the human factors from software engineering expertise during software development, because software is developed by people and for people. The intangible nature of software has made it a difficult product to successfully create, and an examination of the many reasons for major software syst... |
1910.12172 | Dhruv Rohatgi | Dhruv Rohatgi | Near-Optimal Bounds for Online Caching with Machine Learned Advice | 18 pages; accepted to SODA'20; added references and acknowledgments | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | In the model of online caching with machine learned advice, introduced by
Lykouris and Vassilvitskii, the goal is to solve the caching problem with an
online algorithm that has access to next-arrival predictions: when each input
element arrives, the algorithm is given a prediction of the next time when the
element wi... | [
{
"created": "Sun, 27 Oct 2019 03:38:16 GMT",
"version": "v1"
},
{
"created": "Tue, 29 Oct 2019 20:11:34 GMT",
"version": "v2"
}
] | 2019-10-31 | [
[
"Rohatgi",
"Dhruv",
""
]
] | In the model of online caching with machine learned advice, introduced by Lykouris and Vassilvitskii, the goal is to solve the caching problem with an online algorithm that has access to next-arrival predictions: when each input element arrives, the algorithm is given a prediction of the next time when the element will... |
2401.08634 | Xueyuan Wang | Xueyuan Wang and M. Cenk Gursoy | Resilient Path Planning for UAVs in Data Collection under Adversarial
Attacks | The final version of this paper has been accepted in IEEE
Transactions on Information Forensics and Security | vol. 18, pp. 2766-2779, 2023 | 10.1109/TIFS.2023.3266699 | null | cs.NI eess.SP | http://creativecommons.org/licenses/by/4.0/ | In this paper, we investigate jamming-resilient UAV path planning strategies
for data collection in Internet of Things (IoT) networks, in which the typical
UAV can learn the optimal trajectory to elude such jamming attacks.
Specifically, the typical UAV is required to collect data from multiple
distributed IoT nodes ... | [
{
"created": "Mon, 11 Dec 2023 09:28:28 GMT",
"version": "v1"
}
] | 2024-01-18 | [
[
"Wang",
"Xueyuan",
""
],
[
"Gursoy",
"M. Cenk",
""
]
] | In this paper, we investigate jamming-resilient UAV path planning strategies for data collection in Internet of Things (IoT) networks, in which the typical UAV can learn the optimal trajectory to elude such jamming attacks. Specifically, the typical UAV is required to collect data from multiple distributed IoT nodes un... |
2010.11352 | Alessandro Lameiras Koerich | Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich | Class-Conditional Defense GAN Against End-to-End Speech Attacks | 5 pages | 46th IEEE International Conference on Acoustics, Speech, & Signal
Processing (ICASSP), 2021 | null | null | cs.SD cs.CR cs.CV cs.LG eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we propose a novel defense approach against end-to-end
adversarial attacks developed to fool advanced speech-to-text systems such as
DeepSpeech and Lingvo. Unlike conventional defense approaches, the proposed
approach does not directly employ low-level transformations such as
autoencoding a given input ... | [
{
"created": "Thu, 22 Oct 2020 00:02:02 GMT",
"version": "v1"
},
{
"created": "Sat, 20 Feb 2021 02:51:55 GMT",
"version": "v2"
}
] | 2021-02-23 | [
[
"Esmaeilpour",
"Mohammad",
""
],
[
"Cardinal",
"Patrick",
""
],
[
"Koerich",
"Alessandro Lameiras",
""
]
] | In this paper we propose a novel defense approach against end-to-end adversarial attacks developed to fool advanced speech-to-text systems such as DeepSpeech and Lingvo. Unlike conventional defense approaches, the proposed approach does not directly employ low-level transformations such as autoencoding a given input si... |
2312.11785 | Zhangdie Yuan | Zhangdie Yuan and Andreas Vlachos | Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite progress in automated fact-checking, most systems require a
significant amount of labeled training data, which is expensive. In this paper,
we propose a novel zero-shot method, which instead of operating directly on the
claim and evidence sentences, decomposes them into semantic triples augmented
using extern... | [
{
"created": "Tue, 19 Dec 2023 01:48:31 GMT",
"version": "v1"
}
] | 2023-12-20 | [
[
"Yuan",
"Zhangdie",
""
],
[
"Vlachos",
"Andreas",
""
]
] | Despite progress in automated fact-checking, most systems require a significant amount of labeled training data, which is expensive. In this paper, we propose a novel zero-shot method, which instead of operating directly on the claim and evidence sentences, decomposes them into semantic triples augmented using external... |
2101.06802 | Liu Yang | Liu Yang, Tingwei Meng, George Em Karniadakis | Measure-conditional Discriminator with Stationary Optimum for GANs and
Statistical Distance Surrogates | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We propose a simple but effective modification of the discriminators, namely
measure-conditional discriminators, as a plug-and-play module for different
GANs. By taking the generated distributions as part of input so that the target
optimum for the discriminator is stationary, the proposed discriminator is more
robus... | [
{
"created": "Sun, 17 Jan 2021 23:18:10 GMT",
"version": "v1"
}
] | 2021-01-19 | [
[
"Yang",
"Liu",
""
],
[
"Meng",
"Tingwei",
""
],
[
"Karniadakis",
"George Em",
""
]
] | We propose a simple but effective modification of the discriminators, namely measure-conditional discriminators, as a plug-and-play module for different GANs. By taking the generated distributions as part of input so that the target optimum for the discriminator is stationary, the proposed discriminator is more robust ... |
1906.04980 | Patrick Lewis | Patrick Lewis, Ludovic Denoyer, Sebastian Riedel | Unsupervised Question Answering by Cloze Translation | To appear in ACL 2019 | Proceedings of the 57th Annual Meeting of the Association for
Computational Linguistics, 2019 | 10.18653/v1/P19-1484 | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Obtaining training data for Question Answering (QA) is time-consuming and
resource-intensive, and existing QA datasets are only available for limited
domains and languages. In this work, we explore to what extent high quality
training data is actually required for Extractive QA, and investigate the
possibility of uns... | [
{
"created": "Wed, 12 Jun 2019 07:30:32 GMT",
"version": "v1"
},
{
"created": "Thu, 27 Jun 2019 09:43:46 GMT",
"version": "v2"
}
] | 2020-05-05 | [
[
"Lewis",
"Patrick",
""
],
[
"Denoyer",
"Ludovic",
""
],
[
"Riedel",
"Sebastian",
""
]
] | Obtaining training data for Question Answering (QA) is time-consuming and resource-intensive, and existing QA datasets are only available for limited domains and languages. In this work, we explore to what extent high quality training data is actually required for Extractive QA, and investigate the possibility of unsup... |
0904.2027 | Jelani Nelson | Jelani Nelson, David P. Woodruff | A Near-Optimal Algorithm for L1-Difference | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We give the first L_1-sketching algorithm for integer vectors which produces
nearly optimal sized sketches in nearly linear time. This answers the first
open problem in the list of open problems from the 2006 IITK Workshop on
Algorithms for Data Streams. Specifically, suppose Alice receives a vector x in
{-M,...,M}^n... | [
{
"created": "Mon, 13 Apr 2009 22:54:26 GMT",
"version": "v1"
}
] | 2009-04-15 | [
[
"Nelson",
"Jelani",
""
],
[
"Woodruff",
"David P.",
""
]
] | We give the first L_1-sketching algorithm for integer vectors which produces nearly optimal sized sketches in nearly linear time. This answers the first open problem in the list of open problems from the 2006 IITK Workshop on Algorithms for Data Streams. Specifically, suppose Alice receives a vector x in {-M,...,M}^n a... |
1801.07546 | John Warwicker | Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker | Simple Hyper-heuristics Control the Neighbourhood Size of Randomised
Local Search Optimally for LeadingOnes | This work is accepted in Evolutionary Computation Journal. Abstract
shortened for ArXiv | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Selection HHs are randomised search methodologies which choose and execute
heuristics during the optimisation process from a set of low-level heuristics.
A machine learning mechanism is generally used to decide which low-level
heuristic should be applied in each decision step. In this paper we analyse
whether sophist... | [
{
"created": "Tue, 23 Jan 2018 14:13:53 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Nov 2018 17:49:26 GMT",
"version": "v2"
},
{
"created": "Thu, 6 Dec 2018 11:13:13 GMT",
"version": "v3"
},
{
"created": "Fri, 3 May 2019 12:45:51 GMT",
"version": "v4"
},
{
"cre... | 2019-05-16 | [
[
"Lissovoi",
"Andrei",
""
],
[
"Oliveto",
"Pietro S.",
""
],
[
"Warwicker",
"John Alasdair",
""
]
] | Selection HHs are randomised search methodologies which choose and execute heuristics during the optimisation process from a set of low-level heuristics. A machine learning mechanism is generally used to decide which low-level heuristic should be applied in each decision step. In this paper we analyse whether sophistic... |
2107.07268 | Jing Yi | Jing Yi and Yaochen Zhu and Jiayi Xie and Zhenzhong Chen | Cross-modal Variational Auto-encoder for Content-based Micro-video
Background Music Recommendation | null | null | 10.1109/TMM.2021.3128254 | null | cs.MM cs.IR | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose a cross-modal variational auto-encoder (CMVAE) for
content-based micro-video background music recommendation. CMVAE is a
hierarchical Bayesian generative model that matches relevant background music
to a micro-video by projecting these two multimodal inputs into a shared
low-dimensional late... | [
{
"created": "Thu, 15 Jul 2021 11:47:43 GMT",
"version": "v1"
},
{
"created": "Sun, 11 Dec 2022 15:07:42 GMT",
"version": "v2"
}
] | 2022-12-13 | [
[
"Yi",
"Jing",
""
],
[
"Zhu",
"Yaochen",
""
],
[
"Xie",
"Jiayi",
""
],
[
"Chen",
"Zhenzhong",
""
]
] | In this paper, we propose a cross-modal variational auto-encoder (CMVAE) for content-based micro-video background music recommendation. CMVAE is a hierarchical Bayesian generative model that matches relevant background music to a micro-video by projecting these two multimodal inputs into a shared low-dimensional latent... |
2402.01166 | Jian Liu | Jian Liu, Xiaoshui Huang, Tianyu Huang, Lu Chen, Yuenan Hou, Shixiang
Tang, Ziwei Liu, Wanli Ouyang, Wangmeng Zuo, Junjun Jiang, Xianming Liu | A Comprehensive Survey on 3D Content Generation | under review | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent years have witnessed remarkable advances in artificial intelligence
generated content(AIGC), with diverse input modalities, e.g., text, image,
video, audio and 3D. The 3D is the most close visual modality to real-world 3D
environment and carries enormous knowledge. The 3D content generation shows
both academic... | [
{
"created": "Fri, 2 Feb 2024 06:20:44 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Mar 2024 08:22:42 GMT",
"version": "v2"
}
] | 2024-03-20 | [
[
"Liu",
"Jian",
""
],
[
"Huang",
"Xiaoshui",
""
],
[
"Huang",
"Tianyu",
""
],
[
"Chen",
"Lu",
""
],
[
"Hou",
"Yuenan",
""
],
[
"Tang",
"Shixiang",
""
],
[
"Liu",
"Ziwei",
""
],
[
"Ouyang",
"Wanli... | Recent years have witnessed remarkable advances in artificial intelligence generated content(AIGC), with diverse input modalities, e.g., text, image, video, audio and 3D. The 3D is the most close visual modality to real-world 3D environment and carries enormous knowledge. The 3D content generation shows both academic a... |
1701.07208 | Lars Rohwedder | Klaus Jansen and Lars Rohwedder | A Quasi-Polynomial Approximation for the Restricted Assignment Problem | This article is an extended joint version of conference articles "On
the configuration-LP of the restricted assignment problem" [Jansen, Rohwedder
SODA'17] and "A quasi-polynomial approximation for the restricted assignment
problem" [Jansen, Rohwedder IPCO'17] | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Restricted Assignment Problem is a prominent special case of Scheduling
on Parallel Unrelated Machines. For the strongest known linear programming
relaxation, the configuration LP, we improve the non-constructive bound on its
integrality gap from 1.9142 to 1.8334 and significantly simplify the proof.
Then we give... | [
{
"created": "Wed, 25 Jan 2017 08:55:14 GMT",
"version": "v1"
},
{
"created": "Tue, 20 Aug 2019 11:04:42 GMT",
"version": "v2"
}
] | 2019-08-21 | [
[
"Jansen",
"Klaus",
""
],
[
"Rohwedder",
"Lars",
""
]
] | The Restricted Assignment Problem is a prominent special case of Scheduling on Parallel Unrelated Machines. For the strongest known linear programming relaxation, the configuration LP, we improve the non-constructive bound on its integrality gap from 1.9142 to 1.8334 and significantly simplify the proof. Then we give a... |
1810.09951 | Yujie Zhong | Yujie Zhong, Relja Arandjelovi\'c, Andrew Zisserman | GhostVLAD for set-based face recognition | Accepted by ACCV 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The objective of this paper is to learn a compact representation of image
sets for template-based face recognition. We make the following contributions:
first, we propose a network architecture which aggregates and embeds the face
descriptors produced by deep convolutional neural networks into a compact
fixed-length ... | [
{
"created": "Tue, 23 Oct 2018 16:31:10 GMT",
"version": "v1"
}
] | 2018-10-24 | [
[
"Zhong",
"Yujie",
""
],
[
"Arandjelović",
"Relja",
""
],
[
"Zisserman",
"Andrew",
""
]
] | The objective of this paper is to learn a compact representation of image sets for template-based face recognition. We make the following contributions: first, we propose a network architecture which aggregates and embeds the face descriptors produced by deep convolutional neural networks into a compact fixed-length re... |
2109.09180 | Annie Xie | Annie Xie, Chelsea Finn | Lifelong Robotic Reinforcement Learning by Retaining Experiences | Supplementary website at
https://sites.google.com/view/retain-experience/ | null | null | null | cs.LG cs.AI cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multi-task learning ideally allows robots to acquire a diverse repertoire of
useful skills. However, many multi-task reinforcement learning efforts assume
the robot can collect data from all tasks at all times. In reality, the tasks
that the robot learns arrive sequentially, depending on the user and the
robot's curr... | [
{
"created": "Sun, 19 Sep 2021 18:00:51 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Apr 2022 05:42:16 GMT",
"version": "v2"
}
] | 2022-04-07 | [
[
"Xie",
"Annie",
""
],
[
"Finn",
"Chelsea",
""
]
] | Multi-task learning ideally allows robots to acquire a diverse repertoire of useful skills. However, many multi-task reinforcement learning efforts assume the robot can collect data from all tasks at all times. In reality, the tasks that the robot learns arrive sequentially, depending on the user and the robot's curren... |
1610.02091 | Dmitri Strukov B | F. Merrikh Bayat, X. Guo, M. Klachko, M. Prezioso, K. K. Likharev, and
D. B. Strukov | Sub-1-us, Sub-20-nJ Pattern Classification in a Mixed-Signal Circuit
Based on Embedded 180-nm Floating-Gate Memory Cell Arrays | 4 pages, 10 figures | null | null | null | cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We have designed, fabricated, and successfully tested a prototype
mixed-signal, 28x28-binary-input, 10-output, 3-layer neuromorphic network ("MLP
perceptron"). It is based on embedded nonvolatile floating-gate cell arrays
redesigned from a commercial 180-nm NOR flash memory. The arrays allow precise
(~1%) individual ... | [
{
"created": "Thu, 6 Oct 2016 22:50:47 GMT",
"version": "v1"
},
{
"created": "Mon, 10 Oct 2016 23:27:06 GMT",
"version": "v2"
}
] | 2016-10-12 | [
[
"Bayat",
"F. Merrikh",
""
],
[
"Guo",
"X.",
""
],
[
"Klachko",
"M.",
""
],
[
"Prezioso",
"M.",
""
],
[
"Likharev",
"K. K.",
""
],
[
"Strukov",
"D. B.",
""
]
] | We have designed, fabricated, and successfully tested a prototype mixed-signal, 28x28-binary-input, 10-output, 3-layer neuromorphic network ("MLP perceptron"). It is based on embedded nonvolatile floating-gate cell arrays redesigned from a commercial 180-nm NOR flash memory. The arrays allow precise (~1%) individual tu... |
1305.6012 | Yi Gong | Sheng-Ming Cai, Yi Gong | Cognitive Beamforming for Multiple Secondary Data Streams With
Individual SNR Constraints | This is the longer version of a paper to appear in the IEEE
Transactions on Signal Processing | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we consider cognitive beamforming for multiple secondary data
streams subject to individual signal-to-noise ratio (SNR) requirements for each
secondary data stream. In such a cognitive radio system, the secondary user is
permitted to use the spectrum allocated to the primary user as long as the
caused ... | [
{
"created": "Sun, 26 May 2013 10:15:00 GMT",
"version": "v1"
}
] | 2013-05-28 | [
[
"Cai",
"Sheng-Ming",
""
],
[
"Gong",
"Yi",
""
]
] | In this paper, we consider cognitive beamforming for multiple secondary data streams subject to individual signal-to-noise ratio (SNR) requirements for each secondary data stream. In such a cognitive radio system, the secondary user is permitted to use the spectrum allocated to the primary user as long as the caused in... |
1809.05745 | Guohui Lin | Longcheng Liu, Yong Chen, Jianming Dong, Randy Goebel, Guohui Lin, Yue
Luo, Guanqun Ni, Bing Su, and An Zhang | Approximation algorithms for the three-machine proportionate mixed shop
scheduling | An extended abstract containing a subset of results has been accepted
by AAIM 2018. This is the full version with 20 pages, 14 figures | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A mixed shop is a manufacturing infrastructure designed to process a mixture
of a set of flow-shop jobs and a set of open-shop jobs. Mixed shops are in
general much more complex to schedule than flow-shops and open-shops, and have
been studied since the 1980's. We consider the three machine proportionate
mixed shop p... | [
{
"created": "Sat, 15 Sep 2018 17:16:26 GMT",
"version": "v1"
}
] | 2018-09-18 | [
[
"Liu",
"Longcheng",
""
],
[
"Chen",
"Yong",
""
],
[
"Dong",
"Jianming",
""
],
[
"Goebel",
"Randy",
""
],
[
"Lin",
"Guohui",
""
],
[
"Luo",
"Yue",
""
],
[
"Ni",
"Guanqun",
""
],
[
"Su",
"Bing",
... | A mixed shop is a manufacturing infrastructure designed to process a mixture of a set of flow-shop jobs and a set of open-shop jobs. Mixed shops are in general much more complex to schedule than flow-shops and open-shops, and have been studied since the 1980's. We consider the three machine proportionate mixed shop pro... |
2403.11397 | Yujia Liu | Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang | Defense Against Adversarial Attacks on No-Reference Image Quality Models
with Gradient Norm Regularization | accepted by CVPR 2024 | null | null | null | cs.CV eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The task of No-Reference Image Quality Assessment (NR-IQA) is to estimate the
quality score of an input image without additional information. NR-IQA models
play a crucial role in the media industry, aiding in performance evaluation and
optimization guidance. However, these models are found to be vulnerable to
adversa... | [
{
"created": "Mon, 18 Mar 2024 01:11:53 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Liu",
"Yujia",
""
],
[
"Yang",
"Chenxi",
""
],
[
"Li",
"Dingquan",
""
],
[
"Ding",
"Jianhao",
""
],
[
"Jiang",
"Tingting",
""
]
] | The task of No-Reference Image Quality Assessment (NR-IQA) is to estimate the quality score of an input image without additional information. NR-IQA models play a crucial role in the media industry, aiding in performance evaluation and optimization guidance. However, these models are found to be vulnerable to adversari... |
2304.06906 | Yang Liu | Yu-Qi Yang, Yu-Xiao Guo, Jian-Yu Xiong, Yang Liu, Hao Pan, Peng-Shuai
Wang, Xin Tong, Baining Guo | Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene
Understanding | Project page: https://yukichiii.github.io/project/swin3D/swin3D.html | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | The use of pretrained backbones with fine-tuning has been successful for 2D
vision and natural language processing tasks, showing advantages over
task-specific networks. In this work, we introduce a pretrained 3D backbone,
called {\SST}, for 3D indoor scene understanding. We design a 3D Swin
transformer as our backbo... | [
{
"created": "Fri, 14 Apr 2023 02:49:08 GMT",
"version": "v1"
},
{
"created": "Mon, 24 Apr 2023 02:46:34 GMT",
"version": "v2"
},
{
"created": "Wed, 16 Aug 2023 01:53:02 GMT",
"version": "v3"
}
] | 2023-08-17 | [
[
"Yang",
"Yu-Qi",
""
],
[
"Guo",
"Yu-Xiao",
""
],
[
"Xiong",
"Jian-Yu",
""
],
[
"Liu",
"Yang",
""
],
[
"Pan",
"Hao",
""
],
[
"Wang",
"Peng-Shuai",
""
],
[
"Tong",
"Xin",
""
],
[
"Guo",
"Baining",... | The use of pretrained backbones with fine-tuning has been successful for 2D vision and natural language processing tasks, showing advantages over task-specific networks. In this work, we introduce a pretrained 3D backbone, called {\SST}, for 3D indoor scene understanding. We design a 3D Swin transformer as our backbone... |
1510.00726 | Yoav Goldberg | Yoav Goldberg | A Primer on Neural Network Models for Natural Language Processing | null | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Over the past few years, neural networks have re-emerged as powerful
machine-learning models, yielding state-of-the-art results in fields such as
image recognition and speech processing. More recently, neural network models
started to be applied also to textual natural language signals, again with very
promising resu... | [
{
"created": "Fri, 2 Oct 2015 20:17:33 GMT",
"version": "v1"
}
] | 2015-10-06 | [
[
"Goldberg",
"Yoav",
""
]
] | Over the past few years, neural networks have re-emerged as powerful machine-learning models, yielding state-of-the-art results in fields such as image recognition and speech processing. More recently, neural network models started to be applied also to textual natural language signals, again with very promising result... |
2310.09347 | Yufei Liu | Yufei Liu, Manzhou Li, Qin Ma | Efficient Apple Maturity and Damage Assessment: A Lightweight Detection
Model with GAN and Attention Mechanism | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This study proposes a method based on lightweight convolutional neural
networks (CNN) and generative adversarial networks (GAN) for apple ripeness and
damage level detection tasks. Initially, a lightweight CNN model is designed by
optimizing the model's depth and width, as well as employing advanced model
compression... | [
{
"created": "Fri, 13 Oct 2023 18:22:30 GMT",
"version": "v1"
}
] | 2023-10-17 | [
[
"Liu",
"Yufei",
""
],
[
"Li",
"Manzhou",
""
],
[
"Ma",
"Qin",
""
]
] | This study proposes a method based on lightweight convolutional neural networks (CNN) and generative adversarial networks (GAN) for apple ripeness and damage level detection tasks. Initially, a lightweight CNN model is designed by optimizing the model's depth and width, as well as employing advanced model compression t... |
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