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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2309.03249 | Surajit Ghosh | Surajit Ghosh, Archita Mallick, Anuva Chowdhury, Kounik De Sarkar | Graph Theory Applications in Advanced Geospatial Research | null | null | null | null | cs.LG cs.CE cs.CY physics.geo-ph | http://creativecommons.org/licenses/by/4.0/ | Geospatial sciences include a wide range of applications, from environmental
monitoring transportation to infrastructure planning, as well as location-based
analysis and services. Graph theory algorithms in mathematics have emerged as
indispensable tools in these domains due to their capability to model and
analyse s... | [
{
"created": "Wed, 6 Sep 2023 15:47:18 GMT",
"version": "v1"
},
{
"created": "Mon, 9 Oct 2023 16:20:33 GMT",
"version": "v2"
}
] | 2023-10-10 | [
[
"Ghosh",
"Surajit",
""
],
[
"Mallick",
"Archita",
""
],
[
"Chowdhury",
"Anuva",
""
],
[
"De Sarkar",
"Kounik",
""
]
] | Geospatial sciences include a wide range of applications, from environmental monitoring transportation to infrastructure planning, as well as location-based analysis and services. Graph theory algorithms in mathematics have emerged as indispensable tools in these domains due to their capability to model and analyse spa... |
2302.06185 | Jianyun Xu | Shihao Su, Jianyun Xu, Huanyu Wang, Zhenwei Miao, Xin Zhan, Dayang
Hao, Xi Li | PUPS: Point Cloud Unified Panoptic Segmentation | accepted by AAAI2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Point cloud panoptic segmentation is a challenging task that seeks a holistic
solution for both semantic and instance segmentation to predict groupings of
coherent points. Previous approaches treat semantic and instance segmentation
as surrogate tasks, and they either use clustering methods or bounding boxes to
gathe... | [
{
"created": "Mon, 13 Feb 2023 08:42:41 GMT",
"version": "v1"
},
{
"created": "Tue, 28 Feb 2023 03:19:18 GMT",
"version": "v2"
}
] | 2023-03-01 | [
[
"Su",
"Shihao",
""
],
[
"Xu",
"Jianyun",
""
],
[
"Wang",
"Huanyu",
""
],
[
"Miao",
"Zhenwei",
""
],
[
"Zhan",
"Xin",
""
],
[
"Hao",
"Dayang",
""
],
[
"Li",
"Xi",
""
]
] | Point cloud panoptic segmentation is a challenging task that seeks a holistic solution for both semantic and instance segmentation to predict groupings of coherent points. Previous approaches treat semantic and instance segmentation as surrogate tasks, and they either use clustering methods or bounding boxes to gather ... |
2111.07608 | Yufei Chen | Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang | Property Inference Attacks Against GANs | To Appear in NDSS 2022 | null | null | null | cs.CR cs.AI cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | While machine learning (ML) has made tremendous progress during the past
decade, recent research has shown that ML models are vulnerable to various
security and privacy attacks. So far, most of the attacks in this field focus
on discriminative models, represented by classifiers. Meanwhile, little
attention has been p... | [
{
"created": "Mon, 15 Nov 2021 08:57:00 GMT",
"version": "v1"
}
] | 2021-11-16 | [
[
"Zhou",
"Junhao",
""
],
[
"Chen",
"Yufei",
""
],
[
"Shen",
"Chao",
""
],
[
"Zhang",
"Yang",
""
]
] | While machine learning (ML) has made tremendous progress during the past decade, recent research has shown that ML models are vulnerable to various security and privacy attacks. So far, most of the attacks in this field focus on discriminative models, represented by classifiers. Meanwhile, little attention has been pai... |
1905.06626 | Frances Cooper | Frances Cooper and David Manlove | Two-sided profile-based optimality in the stable marriage problem | 40 pages including appendix, 16 figures, 6 tables | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | We study the problem of finding "fair" stable matchings in the Stable
Marriage problem with Incomplete lists (SMI). In particular, we seek stable
matchings that are optimal with respect to profile, which is a vector that
indicates the number of agents who have their first-, second-, third-choice
partner, etc. In a ra... | [
{
"created": "Thu, 16 May 2019 09:53:23 GMT",
"version": "v1"
},
{
"created": "Wed, 12 Feb 2020 15:49:09 GMT",
"version": "v2"
},
{
"created": "Fri, 11 Sep 2020 07:03:23 GMT",
"version": "v3"
}
] | 2020-09-14 | [
[
"Cooper",
"Frances",
""
],
[
"Manlove",
"David",
""
]
] | We study the problem of finding "fair" stable matchings in the Stable Marriage problem with Incomplete lists (SMI). In particular, we seek stable matchings that are optimal with respect to profile, which is a vector that indicates the number of agents who have their first-, second-, third-choice partner, etc. In a rank... |
1912.07497 | Michael Mirkin | Michael Mirkin, Yan Ji, Jonathan Pang, Ariah Klages-Mundt, Ittay Eyal
and Ari Juels | BDoS: Blockchain Denial of Service | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Proof-of-work (PoW) cryptocurrency blockchains like Bitcoin secure vast
amounts of money. Their operators, called miners, expend resources to generate
blocks and receive monetary rewards for their effort. Blockchains are, in
principle, attractive targets for Denial-of-Service (DoS) attacks: There is
fierce competitio... | [
{
"created": "Mon, 16 Dec 2019 16:55:14 GMT",
"version": "v1"
},
{
"created": "Wed, 18 Dec 2019 21:23:34 GMT",
"version": "v2"
},
{
"created": "Thu, 30 Jan 2020 14:05:32 GMT",
"version": "v3"
},
{
"created": "Wed, 4 Nov 2020 21:48:52 GMT",
"version": "v4"
}
] | 2020-11-06 | [
[
"Mirkin",
"Michael",
""
],
[
"Ji",
"Yan",
""
],
[
"Pang",
"Jonathan",
""
],
[
"Klages-Mundt",
"Ariah",
""
],
[
"Eyal",
"Ittay",
""
],
[
"Juels",
"Ari",
""
]
] | Proof-of-work (PoW) cryptocurrency blockchains like Bitcoin secure vast amounts of money. Their operators, called miners, expend resources to generate blocks and receive monetary rewards for their effort. Blockchains are, in principle, attractive targets for Denial-of-Service (DoS) attacks: There is fierce competition ... |
1908.09788 | Farid Ghareh Mohammadi | Farid Ghareh Mohammadi, M. Hadi Amini, and Hamid R. Arabnia | An Introduction to Advanced Machine Learning : Meta Learning Algorithms,
Applications and Promises | 17 pages, 9 figures. arXiv admin note: text overlap with
arXiv:1902.08438 by other authors | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | In [1, 2], we have explored the theoretical aspects of feature extraction
optimization processes for solving largescale problems and overcoming machine
learning limitations. Majority of optimization algorithms that have been
introduced in [1, 2] guarantee the optimal performance of supervised learning,
given offline ... | [
{
"created": "Mon, 26 Aug 2019 16:42:33 GMT",
"version": "v1"
}
] | 2019-08-28 | [
[
"Mohammadi",
"Farid Ghareh",
""
],
[
"Amini",
"M. Hadi",
""
],
[
"Arabnia",
"Hamid R.",
""
]
] | In [1, 2], we have explored the theoretical aspects of feature extraction optimization processes for solving largescale problems and overcoming machine learning limitations. Majority of optimization algorithms that have been introduced in [1, 2] guarantee the optimal performance of supervised learning, given offline an... |
1301.0775 | Mohammad Nozari Zarmehri | Mohammad Nozari Zarmehri and Ana Aguiar | Supporting Sensing Application in Vehicular Networks | 7 pages, 9 figures, 2 tables | ACM MobiCom Workshop on Challenged Networks, 2012 | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This research aims at using vehicular ad-hoc networks as infra-structure for
an urban cyber-physical system in order to gather data about a city. In this
scenario, all nodes are data sources and there is a gateway as ultimate
destination for all packets. Because of the volatility of the network
connections and uncert... | [
{
"created": "Fri, 4 Jan 2013 17:25:01 GMT",
"version": "v1"
}
] | 2013-01-07 | [
[
"Zarmehri",
"Mohammad Nozari",
""
],
[
"Aguiar",
"Ana",
""
]
] | This research aims at using vehicular ad-hoc networks as infra-structure for an urban cyber-physical system in order to gather data about a city. In this scenario, all nodes are data sources and there is a gateway as ultimate destination for all packets. Because of the volatility of the network connections and uncertai... |
2111.11525 | Geoffrey Driessel | Geoffrey van Driessel, Vincent Francois-Lavet | Component Transfer Learning for Deep RL Based on Abstract
Representations | Workshop paper NeurIPS 2021 | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this work we investigate a specific transfer learning approach for deep
reinforcement learning in the context where the internal dynamics between two
tasks are the same but the visual representations differ. We learn a
low-dimensional encoding of the environment, meant to capture summarizing
abstractions, from whi... | [
{
"created": "Mon, 22 Nov 2021 20:48:38 GMT",
"version": "v1"
}
] | 2021-11-24 | [
[
"van Driessel",
"Geoffrey",
""
],
[
"Francois-Lavet",
"Vincent",
""
]
] | In this work we investigate a specific transfer learning approach for deep reinforcement learning in the context where the internal dynamics between two tasks are the same but the visual representations differ. We learn a low-dimensional encoding of the environment, meant to capture summarizing abstractions, from which... |
1910.11637 | Daniele Giunchi | Daniele Giunchi, Stuart james, Donald Degraen, Anthony Steed | Mixing realities for sketch retrieval in Virtual Reality | 10 pages | null | null | null | cs.HC cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Drawing tools for Virtual Reality (VR) enable users to model 3D designs from
within the virtual environment itself. These tools employ sketching and
sculpting techniques known from desktop-based interfaces and apply them to
hand-based controller interaction. While these techniques allow for mid-air
sketching of basic... | [
{
"created": "Fri, 25 Oct 2019 11:52:25 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Nov 2019 09:58:24 GMT",
"version": "v2"
}
] | 2019-11-06 | [
[
"Giunchi",
"Daniele",
""
],
[
"james",
"Stuart",
""
],
[
"Degraen",
"Donald",
""
],
[
"Steed",
"Anthony",
""
]
] | Drawing tools for Virtual Reality (VR) enable users to model 3D designs from within the virtual environment itself. These tools employ sketching and sculpting techniques known from desktop-based interfaces and apply them to hand-based controller interaction. While these techniques allow for mid-air sketching of basic s... |
2011.01710 | Guang Lin | Guang Lin, Jianhai Zhang, Yuxi Liu, Tianyang Gao, Wanzeng Kong, Xu
Lei, Tao Qiu | BCGGAN: Ballistocardiogram artifact removal in simultaneous EEG-fMRI
using generative adversarial network | null | Journal of Neuroscience Methods, Volume 371, 2022, 109498 | 10.1016/j.jneumeth.2022.109498 | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Due to its advantages of high temporal and spatial resolution, the technology
of simultaneous electroencephalogram-functional magnetic resonance imaging
(EEG-fMRI) acquisition and analysis has attracted much attention, and has been
widely used in various research fields of brain science. However, during the
fMRI of t... | [
{
"created": "Tue, 3 Nov 2020 13:54:01 GMT",
"version": "v1"
},
{
"created": "Wed, 4 Nov 2020 01:39:34 GMT",
"version": "v2"
},
{
"created": "Tue, 29 Aug 2023 06:39:04 GMT",
"version": "v3"
},
{
"created": "Wed, 30 Aug 2023 05:08:47 GMT",
"version": "v4"
}
] | 2023-09-01 | [
[
"Lin",
"Guang",
""
],
[
"Zhang",
"Jianhai",
""
],
[
"Liu",
"Yuxi",
""
],
[
"Gao",
"Tianyang",
""
],
[
"Kong",
"Wanzeng",
""
],
[
"Lei",
"Xu",
""
],
[
"Qiu",
"Tao",
""
]
] | Due to its advantages of high temporal and spatial resolution, the technology of simultaneous electroencephalogram-functional magnetic resonance imaging (EEG-fMRI) acquisition and analysis has attracted much attention, and has been widely used in various research fields of brain science. However, during the fMRI of the... |
2405.02466 | Heng Jin | Heng Jin and Chaoyu Zhang and Shanghao Shi and Wenjing Lou and Y.
Thomas Hou | ProFLingo: A Fingerprinting-based Intellectual Property Protection
Scheme for Large Language Models | This is the author's pre-print version of the work. It is posted here
for your personal use. Not for redistribution | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) have attracted significant attention in recent
years. Due to their "Large" nature, training LLMs from scratch consumes immense
computational resources. Since several major players in the artificial
intelligence (AI) field have open-sourced their original LLMs, an increasing
number of indi... | [
{
"created": "Fri, 3 May 2024 20:00:40 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Jun 2024 16:22:43 GMT",
"version": "v2"
}
] | 2024-06-27 | [
[
"Jin",
"Heng",
""
],
[
"Zhang",
"Chaoyu",
""
],
[
"Shi",
"Shanghao",
""
],
[
"Lou",
"Wenjing",
""
],
[
"Hou",
"Y. Thomas",
""
]
] | Large language models (LLMs) have attracted significant attention in recent years. Due to their "Large" nature, training LLMs from scratch consumes immense computational resources. Since several major players in the artificial intelligence (AI) field have open-sourced their original LLMs, an increasing number of indivi... |
2112.15329 | Sung Min Park | Sung Min Park, Kuo-An Wei, Kai Xiao, Jerry Li, Aleksander Madry | On Distinctive Properties of Universal Perturbations | null | null | null | null | cs.LG cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We identify properties of universal adversarial perturbations (UAPs) that
distinguish them from standard adversarial perturbations. Specifically, we show
that targeted UAPs generated by projected gradient descent exhibit two
human-aligned properties: semantic locality and spatial invariance, which
standard targeted a... | [
{
"created": "Fri, 31 Dec 2021 07:35:04 GMT",
"version": "v1"
}
] | 2022-01-03 | [
[
"Park",
"Sung Min",
""
],
[
"Wei",
"Kuo-An",
""
],
[
"Xiao",
"Kai",
""
],
[
"Li",
"Jerry",
""
],
[
"Madry",
"Aleksander",
""
]
] | We identify properties of universal adversarial perturbations (UAPs) that distinguish them from standard adversarial perturbations. Specifically, we show that targeted UAPs generated by projected gradient descent exhibit two human-aligned properties: semantic locality and spatial invariance, which standard targeted adv... |
1708.00308 | Igor Melnyk | Ramesh Nallapati, Igor Melnyk, Abhishek Kumar and Bowen Zhou | SenGen: Sentence Generating Neural Variational Topic Model | null | null | null | null | cs.CL cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new topic model that generates documents by sampling a topic for
one whole sentence at a time, and generating the words in the sentence using an
RNN decoder that is conditioned on the topic of the sentence. We argue that
this novel formalism will help us not only visualize and model the topical
discourse... | [
{
"created": "Tue, 1 Aug 2017 13:31:24 GMT",
"version": "v1"
}
] | 2017-08-03 | [
[
"Nallapati",
"Ramesh",
""
],
[
"Melnyk",
"Igor",
""
],
[
"Kumar",
"Abhishek",
""
],
[
"Zhou",
"Bowen",
""
]
] | We present a new topic model that generates documents by sampling a topic for one whole sentence at a time, and generating the words in the sentence using an RNN decoder that is conditioned on the topic of the sentence. We argue that this novel formalism will help us not only visualize and model the topical discourse s... |
2207.11900 | Jiang Li | Jiang Li, Xiaoping Wang, Guoqing Lv, Zhigang Zeng | GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information
Fusion for Conversational Emotion Detection | Accepted by IEEE Transactions on Affective Computing | null | 10.1109/TAFFC.2023.3261279 | null | cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multimodal Emotion Recognition in Conversation (ERC) plays an influential
role in the field of human-computer interaction and conversational robotics
since it can motivate machines to provide empathetic services. Multimodal data
modeling is an up-and-coming research area in recent years, which is inspired
by human ca... | [
{
"created": "Mon, 25 Jul 2022 04:22:41 GMT",
"version": "v1"
},
{
"created": "Sat, 6 Aug 2022 21:53:02 GMT",
"version": "v2"
},
{
"created": "Mon, 12 Sep 2022 13:11:17 GMT",
"version": "v3"
},
{
"created": "Wed, 22 Mar 2023 02:51:19 GMT",
"version": "v4"
},
{
"cr... | 2023-11-23 | [
[
"Li",
"Jiang",
""
],
[
"Wang",
"Xiaoping",
""
],
[
"Lv",
"Guoqing",
""
],
[
"Zeng",
"Zhigang",
""
]
] | Multimodal Emotion Recognition in Conversation (ERC) plays an influential role in the field of human-computer interaction and conversational robotics since it can motivate machines to provide empathetic services. Multimodal data modeling is an up-and-coming research area in recent years, which is inspired by human capa... |
2404.10454 | Meriam Zribi | Meriam Zribi, Paolo Pagliuca, Francesca Pitolli | A Computer Vision-Based Quality Assessment Technique for the automatic
control of consumables for analytical laboratories | 31 pages, 13 figures, 10 tables | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rapid growth of the Industry 4.0 paradigm is increasing the pressure to
develop effective automated monitoring systems. Artificial Intelligence (AI) is
a convenient tool to improve the efficiency of industrial processes while
reducing errors and waste. In fact, it allows the use of real-time data to
increase the ... | [
{
"created": "Tue, 16 Apr 2024 10:50:16 GMT",
"version": "v1"
}
] | 2024-04-17 | [
[
"Zribi",
"Meriam",
""
],
[
"Pagliuca",
"Paolo",
""
],
[
"Pitolli",
"Francesca",
""
]
] | The rapid growth of the Industry 4.0 paradigm is increasing the pressure to develop effective automated monitoring systems. Artificial Intelligence (AI) is a convenient tool to improve the efficiency of industrial processes while reducing errors and waste. In fact, it allows the use of real-time data to increase the ef... |
1411.2577 | Ilya Razenshteyn | Alexandr Andoni, Robert Krauthgamer, Ilya Razenshteyn | Sketching and Embedding are Equivalent for Norms | 33 pages, an extended abstract appeared in the proceedings of the
47th ACM Symposium on Theory of Computing (STOC 2015); changes in v2: added
quantitative bounds for the main results, preliminaries section with
necessary definitions and facts has been added; v3: several clarifications,
including a section on th... | null | null | null | cs.DS cs.CC math.FA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An outstanding open question posed by Guha and Indyk in 2006 asks to
characterize metric spaces in which distances can be estimated using efficient
sketches. Specifically, we say that a sketching algorithm is efficient if it
achieves constant approximation using constant sketch size. A well-known result
of Indyk (J. ... | [
{
"created": "Mon, 10 Nov 2014 20:42:51 GMT",
"version": "v1"
},
{
"created": "Mon, 20 Apr 2015 13:02:08 GMT",
"version": "v2"
},
{
"created": "Wed, 15 Feb 2017 15:03:49 GMT",
"version": "v3"
}
] | 2017-02-16 | [
[
"Andoni",
"Alexandr",
""
],
[
"Krauthgamer",
"Robert",
""
],
[
"Razenshteyn",
"Ilya",
""
]
] | An outstanding open question posed by Guha and Indyk in 2006 asks to characterize metric spaces in which distances can be estimated using efficient sketches. Specifically, we say that a sketching algorithm is efficient if it achieves constant approximation using constant sketch size. A well-known result of Indyk (J. AC... |
1805.06298 | Hidetoshi Furukawa | Hidetoshi Furukawa | SAVERS: SAR ATR with Verification Support Based on Convolutional Neural
Network | Technical Report, 6 pages, 8 figures, 5 tables, Copyright(C)2018
IEICE. arXiv admin note: substantial text overlap with arXiv:1801.08558 | IEICE Technical Report, vol.118, no.28, SANE2018-5, pp.23-28, May
2018 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new convolutional neural network (CNN) which performs coarse and
fine segmentation for end-to-end synthetic aperture radar (SAR) automatic
target recognition (ATR) system. In recent years, many CNNs for SAR ATR using
deep learning have been proposed, but most of them classify target classes from
fixed si... | [
{
"created": "Mon, 14 May 2018 18:03:35 GMT",
"version": "v1"
}
] | 2018-05-17 | [
[
"Furukawa",
"Hidetoshi",
""
]
] | We propose a new convolutional neural network (CNN) which performs coarse and fine segmentation for end-to-end synthetic aperture radar (SAR) automatic target recognition (ATR) system. In recent years, many CNNs for SAR ATR using deep learning have been proposed, but most of them classify target classes from fixed size... |
2405.05398 | Rafael Orozco | Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann | ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse
Problems | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Due to their uncertainty quantification, Bayesian solutions to inverse
problems are the framework of choice in applications that are risk averse.
These benefits come at the cost of computations that are in general,
intractable. New advances in machine learning and variational inference (VI)
have lowered the computati... | [
{
"created": "Wed, 8 May 2024 20:03:12 GMT",
"version": "v1"
}
] | 2024-05-10 | [
[
"Orozco",
"Rafael",
""
],
[
"Siahkoohi",
"Ali",
""
],
[
"Louboutin",
"Mathias",
""
],
[
"Herrmann",
"Felix J.",
""
]
] | Due to their uncertainty quantification, Bayesian solutions to inverse problems are the framework of choice in applications that are risk averse. These benefits come at the cost of computations that are in general, intractable. New advances in machine learning and variational inference (VI) have lowered the computation... |
2012.13635 | Samy Badreddine | Samy Badreddine and Artur d'Avila Garcez and Luciano Serafini and
Michael Spranger | Logic Tensor Networks | 68 pages, 28 figures, 6 tables | Artificial Intelligence, Volume 303, February 2022, 103649 | 10.1016/j.artint.2021.103649 | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Artificial Intelligence agents are required to learn from their surroundings
and to reason about the knowledge that has been learned in order to make
decisions. While state-of-the-art learning from data typically uses
sub-symbolic distributed representations, reasoning is normally useful at a
higher level of abstract... | [
{
"created": "Fri, 25 Dec 2020 22:30:18 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Jan 2021 07:37:47 GMT",
"version": "v2"
},
{
"created": "Sun, 17 Jan 2021 01:28:44 GMT",
"version": "v3"
},
{
"created": "Thu, 23 Dec 2021 04:14:25 GMT",
"version": "v4"
}
] | 2021-12-24 | [
[
"Badreddine",
"Samy",
""
],
[
"Garcez",
"Artur d'Avila",
""
],
[
"Serafini",
"Luciano",
""
],
[
"Spranger",
"Michael",
""
]
] | Artificial Intelligence agents are required to learn from their surroundings and to reason about the knowledge that has been learned in order to make decisions. While state-of-the-art learning from data typically uses sub-symbolic distributed representations, reasoning is normally useful at a higher level of abstractio... |
2403.13289 | Han-Hung Lee | Han-Hung Lee, Manolis Savva, Angel X. Chang | Text-to-3D Shape Generation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recent years have seen an explosion of work and interest in text-to-3D shape
generation. Much of the progress is driven by advances in 3D representations,
large-scale pretraining and representation learning for text and image data
enabling generative AI models, and differentiable rendering. Computational
systems that... | [
{
"created": "Wed, 20 Mar 2024 04:03:44 GMT",
"version": "v1"
}
] | 2024-03-21 | [
[
"Lee",
"Han-Hung",
""
],
[
"Savva",
"Manolis",
""
],
[
"Chang",
"Angel X.",
""
]
] | Recent years have seen an explosion of work and interest in text-to-3D shape generation. Much of the progress is driven by advances in 3D representations, large-scale pretraining and representation learning for text and image data enabling generative AI models, and differentiable rendering. Computational systems that c... |
2005.13681 | Elizabeth Salesky | Elizabeth Salesky and Alan W Black | Phone Features Improve Speech Translation | Accepted to ACL2020 | null | null | null | cs.CL cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | End-to-end models for speech translation (ST) more tightly couple speech
recognition (ASR) and machine translation (MT) than a traditional cascade of
separate ASR and MT models, with simpler model architectures and the potential
for reduced error propagation. Their performance is often assumed to be
superior, though ... | [
{
"created": "Wed, 27 May 2020 22:05:10 GMT",
"version": "v1"
}
] | 2020-05-29 | [
[
"Salesky",
"Elizabeth",
""
],
[
"Black",
"Alan W",
""
]
] | End-to-end models for speech translation (ST) more tightly couple speech recognition (ASR) and machine translation (MT) than a traditional cascade of separate ASR and MT models, with simpler model architectures and the potential for reduced error propagation. Their performance is often assumed to be superior, though in... |
2005.10463 | Haoneng Luo | Haoneng Luo, Shiliang Zhang, Ming Lei, Lei Xie | Simplified Self-Attention for Transformer-based End-to-End Speech
Recognition | Accepted to SLT 2021 | null | null | null | cs.SD cs.CL eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Transformer models have been introduced into end-to-end speech recognition
with state-of-the-art performance on various tasks owing to their superiority
in modeling long-term dependencies. However, such improvements are usually
obtained through the use of very large neural networks. Transformer models
mainly include ... | [
{
"created": "Thu, 21 May 2020 04:55:59 GMT",
"version": "v1"
},
{
"created": "Tue, 17 Nov 2020 09:58:44 GMT",
"version": "v2"
}
] | 2020-11-18 | [
[
"Luo",
"Haoneng",
""
],
[
"Zhang",
"Shiliang",
""
],
[
"Lei",
"Ming",
""
],
[
"Xie",
"Lei",
""
]
] | Transformer models have been introduced into end-to-end speech recognition with state-of-the-art performance on various tasks owing to their superiority in modeling long-term dependencies. However, such improvements are usually obtained through the use of very large neural networks. Transformer models mainly include tw... |
1104.1905 | Carsten Lemmen | Carsten Lemmen and Detlef Gronenborn and Kai W. Wirtz | A simulation of the Neolithic transition in Western Eurasia | Accepted Author Manuscript version accepted for publication in
Journal of Archaeological Science. A definitive version will be subsequently
published in the Journal of Archaological Science | Journal of Archaeological Science Vol 38 (12), pp. 3459-3470, 2011 | 10.1016/j.jas.2011.08.008 | null | cs.MA q-bio.PE | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Farming and herding were introduced to Europe from the Near East and
Anatolia; there are, however, considerable arguments about the mechanisms of
this transition. Were it people who moved and outplaced the indigenous hunter-
gatherer groups or admixed with them? Or was it just material and information
that moved-the ... | [
{
"created": "Mon, 11 Apr 2011 11:15:04 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Aug 2011 08:14:41 GMT",
"version": "v2"
}
] | 2011-11-08 | [
[
"Lemmen",
"Carsten",
""
],
[
"Gronenborn",
"Detlef",
""
],
[
"Wirtz",
"Kai W.",
""
]
] | Farming and herding were introduced to Europe from the Near East and Anatolia; there are, however, considerable arguments about the mechanisms of this transition. Were it people who moved and outplaced the indigenous hunter- gatherer groups or admixed with them? Or was it just material and information that moved-the Ne... |
2304.13681 | Eric Ming Chen | Eric Ming Chen, Sidhanth Holalkere, Ruyu Yan, Kai Zhang, Abe Davis | Ray Conditioning: Trading Photo-consistency for Photo-realism in
Multi-view Image Generation | ICCV 2023 paper. Project page at https://ray-cond.github.io/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Multi-view image generation attracts particular attention these days due to
its promising 3D-related applications, e.g., image viewpoint editing. Most
existing methods follow a paradigm where a 3D representation is first
synthesized, and then rendered into 2D images to ensure photo-consistency
across viewpoints. Howe... | [
{
"created": "Wed, 26 Apr 2023 16:54:10 GMT",
"version": "v1"
},
{
"created": "Mon, 4 Sep 2023 23:02:18 GMT",
"version": "v2"
}
] | 2023-09-06 | [
[
"Chen",
"Eric Ming",
""
],
[
"Holalkere",
"Sidhanth",
""
],
[
"Yan",
"Ruyu",
""
],
[
"Zhang",
"Kai",
""
],
[
"Davis",
"Abe",
""
]
] | Multi-view image generation attracts particular attention these days due to its promising 3D-related applications, e.g., image viewpoint editing. Most existing methods follow a paradigm where a 3D representation is first synthesized, and then rendered into 2D images to ensure photo-consistency across viewpoints. Howeve... |
2206.07344 | Pitchayagan Temniranrat | Kantip Kiratiratanapruk, Pitchayagan Temniranrat, Wasin Sinthupinyo,
Sanparith Marukatat, and Sujin Patarapuwadol | Automatic Detection of Rice Disease in Images of Various Leaf Sizes | 28 pages, 13 figures | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Fast, accurate and affordable rice disease detection method is required to
assist rice farmers tackling equipment and expertise shortages problems. In
this paper, we focused on the solution using computer vision technique to
detect rice diseases from rice field photograph images. Dealing with images
took in real-usag... | [
{
"created": "Wed, 15 Jun 2022 07:56:41 GMT",
"version": "v1"
}
] | 2022-06-16 | [
[
"Kiratiratanapruk",
"Kantip",
""
],
[
"Temniranrat",
"Pitchayagan",
""
],
[
"Sinthupinyo",
"Wasin",
""
],
[
"Marukatat",
"Sanparith",
""
],
[
"Patarapuwadol",
"Sujin",
""
]
] | Fast, accurate and affordable rice disease detection method is required to assist rice farmers tackling equipment and expertise shortages problems. In this paper, we focused on the solution using computer vision technique to detect rice diseases from rice field photograph images. Dealing with images took in real-usage ... |
1708.02531 | Yuming Shen | Yuming Shen, Li Liu, Ling Shao, Jingkuan Song | Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual
Cross Retrieval | Accepted by ICCV 2017 as a conference paper | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cross-modal hashing is usually regarded as an effective technique for
large-scale textual-visual cross retrieval, where data from different
modalities are mapped into a shared Hamming space for matching. Most of the
traditional textual-visual binary encoding methods only consider holistic image
representations and fa... | [
{
"created": "Tue, 8 Aug 2017 15:46:16 GMT",
"version": "v1"
}
] | 2017-08-09 | [
[
"Shen",
"Yuming",
""
],
[
"Liu",
"Li",
""
],
[
"Shao",
"Ling",
""
],
[
"Song",
"Jingkuan",
""
]
] | Cross-modal hashing is usually regarded as an effective technique for large-scale textual-visual cross retrieval, where data from different modalities are mapped into a shared Hamming space for matching. Most of the traditional textual-visual binary encoding methods only consider holistic image representations and fail... |
1107.1676 | Riccardo Albertoni | Monica De Martino, Riccardo Albertoni | A multilingual/multicultural semantic-based approach to improve Data
Sharing in an SDI for Nature Conservation | null | International Journal of Spatial Data Infrastructures Research,
2011, Vol.6, 206-233 | 10.2902/1725-0463.2011.06.art10 | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper proposes an approach to transcend multicultural and multilingual
barriers in the use and reuse of geographical data at the European level. The
approach aims at sharing scientific terms in the field of nature conservation
with the goal of assisting different user communities with metadata compilation
and inf... | [
{
"created": "Fri, 8 Jul 2011 16:50:38 GMT",
"version": "v1"
}
] | 2011-07-11 | [
[
"De Martino",
"Monica",
""
],
[
"Albertoni",
"Riccardo",
""
]
] | The paper proposes an approach to transcend multicultural and multilingual barriers in the use and reuse of geographical data at the European level. The approach aims at sharing scientific terms in the field of nature conservation with the goal of assisting different user communities with metadata compilation and infor... |
2112.04812 | Jung-Su Ha | Jung-Su Ha, Danny Driess, Marc Toussaint | Deep Visual Constraints: Neural Implicit Models for Manipulation
Planning from Visual Input | IEEE Robotics and Automation Letters (RA-L) 2022 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Manipulation planning is the problem of finding a sequence of robot
configurations that involves interactions with objects in the scene, e.g.,
grasping and placing an object, or more general tool-use. To achieve such
interactions, traditional approaches require hand-engineering of object
representations and interacti... | [
{
"created": "Thu, 9 Dec 2021 10:14:13 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Jan 2022 23:57:14 GMT",
"version": "v2"
},
{
"created": "Thu, 28 Jul 2022 20:59:34 GMT",
"version": "v3"
}
] | 2022-08-01 | [
[
"Ha",
"Jung-Su",
""
],
[
"Driess",
"Danny",
""
],
[
"Toussaint",
"Marc",
""
]
] | Manipulation planning is the problem of finding a sequence of robot configurations that involves interactions with objects in the scene, e.g., grasping and placing an object, or more general tool-use. To achieve such interactions, traditional approaches require hand-engineering of object representations and interaction... |
1303.1829 | Fernand Meyer | Fernand Meyer | Watersheds on edge or node weighted graphs "par l'exemple" | 21 pages | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Watersheds have been defined both for node and edge weighted graphs. We show
that they are identical: for each edge (resp.\ node) weighted graph exists a
node (resp. edge) weighted graph with the same minima and catchment basin.
| [
{
"created": "Thu, 7 Mar 2013 21:15:29 GMT",
"version": "v1"
}
] | 2013-03-11 | [
[
"Meyer",
"Fernand",
""
]
] | Watersheds have been defined both for node and edge weighted graphs. We show that they are identical: for each edge (resp.\ node) weighted graph exists a node (resp. edge) weighted graph with the same minima and catchment basin. |
2311.17124 | Corneliu Cofaru | Corneliu Cofaru and Johan Loeckx | A knowledge-driven AutoML architecture | null | null | null | null | cs.LG cs.AI cs.SE | http://creativecommons.org/licenses/by-sa/4.0/ | This paper proposes a knowledge-driven AutoML architecture for pipeline and
deep feature synthesis. The main goal is to render the AutoML process
explainable and to leverage domain knowledge in the synthesis of pipelines and
features. The architecture explores several novel ideas: first, the
construction of pipelines... | [
{
"created": "Tue, 28 Nov 2023 14:31:38 GMT",
"version": "v1"
}
] | 2023-11-30 | [
[
"Cofaru",
"Corneliu",
""
],
[
"Loeckx",
"Johan",
""
]
] | This paper proposes a knowledge-driven AutoML architecture for pipeline and deep feature synthesis. The main goal is to render the AutoML process explainable and to leverage domain knowledge in the synthesis of pipelines and features. The architecture explores several novel ideas: first, the construction of pipelines a... |
1208.3001 | Zhili Chen Dr. | Zhili Chen, Liusheng Huang, Wei Yang, Peng Meng, and Haibo Miao | More than Word Frequencies: Authorship Attribution via Natural Frequency
Zoned Word Distribution Analysis | 27pages, 7figures, submited to Artificial Intelligence | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With such increasing popularity and availability of digital text data,
authorships of digital texts can not be taken for granted due to the ease of
copying and parsing. This paper presents a new text style analysis called
natural frequency zoned word distribution analysis (NFZ-WDA), and then a basic
authorship attrib... | [
{
"created": "Wed, 15 Aug 2012 00:53:39 GMT",
"version": "v1"
}
] | 2012-08-16 | [
[
"Chen",
"Zhili",
""
],
[
"Huang",
"Liusheng",
""
],
[
"Yang",
"Wei",
""
],
[
"Meng",
"Peng",
""
],
[
"Miao",
"Haibo",
""
]
] | With such increasing popularity and availability of digital text data, authorships of digital texts can not be taken for granted due to the ease of copying and parsing. This paper presents a new text style analysis called natural frequency zoned word distribution analysis (NFZ-WDA), and then a basic authorship attribut... |
2103.00657 | Eric Pryzant | E. Pryzant, Q. Deng, B. Mei, E. Shrestha | Achieving Competitive Play Through Bottom-Up Approach in Semantic
Segmentation | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | With the renaissance of neural networks, object detection has slowly shifted
from a bottom-up recognition problem to a top-down approach. Best in class
algorithms enumerate a near-complete list of objects and classify each into
object/not object. In this paper, we show that strong performance can still be
achieved us... | [
{
"created": "Sun, 28 Feb 2021 23:14:13 GMT",
"version": "v1"
}
] | 2021-03-02 | [
[
"Pryzant",
"E.",
""
],
[
"Deng",
"Q.",
""
],
[
"Mei",
"B.",
""
],
[
"Shrestha",
"E.",
""
]
] | With the renaissance of neural networks, object detection has slowly shifted from a bottom-up recognition problem to a top-down approach. Best in class algorithms enumerate a near-complete list of objects and classify each into object/not object. In this paper, we show that strong performance can still be achieved usin... |
1311.4703 | Tuvi Etzion | Michal Horovitz and Tuvi Etzion | Constructions of Snake-in-the-Box Codes for Rank Modulation | IEEE Transactions on Information Theory | null | null | null | cs.IT math.CO math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Snake-in-the-box code is a Gray code which is capable of detecting a single
error. Gray codes are important in the context of the rank modulation scheme
which was suggested recently for representing information in flash memories.
For a Gray code in this scheme the codewords are permutations, two consecutive
codewords... | [
{
"created": "Tue, 19 Nov 2013 11:37:16 GMT",
"version": "v1"
},
{
"created": "Wed, 26 Feb 2014 13:32:24 GMT",
"version": "v2"
},
{
"created": "Sun, 13 Jul 2014 13:44:15 GMT",
"version": "v3"
},
{
"created": "Sun, 14 Sep 2014 17:40:56 GMT",
"version": "v4"
}
] | 2014-09-16 | [
[
"Horovitz",
"Michal",
""
],
[
"Etzion",
"Tuvi",
""
]
] | Snake-in-the-box code is a Gray code which is capable of detecting a single error. Gray codes are important in the context of the rank modulation scheme which was suggested recently for representing information in flash memories. For a Gray code in this scheme the codewords are permutations, two consecutive codewords a... |
2111.05392 | Minyoung Kim | Minyoung Kim, Timothy Hospedales | Gaussian Process Meta Few-shot Classifier Learning via Linear
Discriminant Laplace Approximation | Rev1 | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | The meta learning few-shot classification is an emerging problem in machine
learning that received enormous attention recently, where the goal is to learn
a model that can quickly adapt to a new task with only a few labeled data. We
consider the Bayesian Gaussian process (GP) approach, in which we meta-learn
the GP p... | [
{
"created": "Tue, 9 Nov 2021 20:00:16 GMT",
"version": "v1"
},
{
"created": "Mon, 13 Dec 2021 10:30:59 GMT",
"version": "v2"
}
] | 2021-12-14 | [
[
"Kim",
"Minyoung",
""
],
[
"Hospedales",
"Timothy",
""
]
] | The meta learning few-shot classification is an emerging problem in machine learning that received enormous attention recently, where the goal is to learn a model that can quickly adapt to a new task with only a few labeled data. We consider the Bayesian Gaussian process (GP) approach, in which we meta-learn the GP pri... |
2107.09388 | Parthasaarathy Sudarsanam | Parthasaarathy Sudarsanam, Archontis Politis, Konstantinos Drossos | Assessment of Self-Attention on Learned Features For Sound Event
Localization and Detection | null | null | null | null | cs.SD eess.AS | http://creativecommons.org/licenses/by/4.0/ | Joint sound event localization and detection (SELD) is an emerging audio
signal processing task adding spatial dimensions to acoustic scene analysis and
sound event detection. A popular approach to modeling SELD jointly is using
convolutional recurrent neural network (CRNN) models, where CNNs learn
high-level feature... | [
{
"created": "Tue, 20 Jul 2021 10:12:39 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Sep 2021 09:32:34 GMT",
"version": "v2"
}
] | 2021-09-28 | [
[
"Sudarsanam",
"Parthasaarathy",
""
],
[
"Politis",
"Archontis",
""
],
[
"Drossos",
"Konstantinos",
""
]
] | Joint sound event localization and detection (SELD) is an emerging audio signal processing task adding spatial dimensions to acoustic scene analysis and sound event detection. A popular approach to modeling SELD jointly is using convolutional recurrent neural network (CRNN) models, where CNNs learn high-level features ... |
2405.03151 | Xinye Sha | Xinye Sha | Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long
Short-Term Memory Network (LSTM) Optimization | null | null | null | null | cs.CE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, a time series algorithm based on Genetic Algorithm (GA) and
Long Short-Term Memory Network (LSTM) optimization is used to forecast stock
prices effectively, taking into account the trend of the big data era. The data
are first analyzed by descriptive statistics, and then the model is built and
trained ... | [
{
"created": "Mon, 6 May 2024 04:04:27 GMT",
"version": "v1"
}
] | 2024-05-07 | [
[
"Sha",
"Xinye",
""
]
] | In this paper, a time series algorithm based on Genetic Algorithm (GA) and Long Short-Term Memory Network (LSTM) optimization is used to forecast stock prices effectively, taking into account the trend of the big data era. The data are first analyzed by descriptive statistics, and then the model is built and trained an... |
1605.02156 | Massimo Cairo | Massimo Cairo and Romeo Rizzi | The Complexity of Simulation and Matrix Multiplication | Submitted. Changed in v2: This is a major rewrite of the paper. The
introduction has been expanded considerably, some notation has been
simplified, proofs of general results on reachability games have been moved
to the appendix, more intuitive arguments for proofs have been provided,
moving the formal arguments... | null | null | null | cs.CC cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Computing the simulation preorder of a given Kripke structure (i.e., a
directed graph with $n$ labeled vertices) has crucial applications in model
checking of temporal logic. It amounts to solving a specific two-players
reachability game, called simulation game. We offer the first conditional lower
bounds for this pr... | [
{
"created": "Sat, 7 May 2016 08:18:31 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Aug 2016 15:51:14 GMT",
"version": "v2"
}
] | 2016-08-31 | [
[
"Cairo",
"Massimo",
""
],
[
"Rizzi",
"Romeo",
""
]
] | Computing the simulation preorder of a given Kripke structure (i.e., a directed graph with $n$ labeled vertices) has crucial applications in model checking of temporal logic. It amounts to solving a specific two-players reachability game, called simulation game. We offer the first conditional lower bounds for this prob... |
2109.09057 | Yohan Jo | Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard Hovy | Knowledge-Enhanced Evidence Retrieval for Counterargument Generation | To appear in Findings of EMNLP 2021 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Finding counterevidence to statements is key to many tasks, including
counterargument generation. We build a system that, given a statement,
retrieves counterevidence from diverse sources on the Web. At the core of this
system is a natural language inference (NLI) model that determines whether a
candidate sentence is... | [
{
"created": "Sun, 19 Sep 2021 04:31:21 GMT",
"version": "v1"
}
] | 2021-09-21 | [
[
"Jo",
"Yohan",
""
],
[
"Yoo",
"Haneul",
""
],
[
"Bak",
"JinYeong",
""
],
[
"Oh",
"Alice",
""
],
[
"Reed",
"Chris",
""
],
[
"Hovy",
"Eduard",
""
]
] | Finding counterevidence to statements is key to many tasks, including counterargument generation. We build a system that, given a statement, retrieves counterevidence from diverse sources on the Web. At the core of this system is a natural language inference (NLI) model that determines whether a candidate sentence is v... |
1009.4898 | Sanat Sarangi | Sanat Sarangi and Subrat Kar | Location Estimation with Reactive Routing in Resource Constrained Sensor
Networks | 6 pages, 6 figures | International Conference on Sensors and Related Networks
(SENNET'09), VIT University, Vellore, India, Dec. 08-10, 2009, pp.563-567 | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Routing algorithms for wireless sensor networks can be broadly divided into
two classes - proactive and reactive. Proactive routing is suitable for a
network with a fixed topology. On the other hand, reactive routing is more
suitable for a set of mobile nodes where routes are created on demand and there
is not much t... | [
{
"created": "Fri, 24 Sep 2010 17:30:56 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Aug 2012 14:28:01 GMT",
"version": "v2"
}
] | 2012-08-02 | [
[
"Sarangi",
"Sanat",
""
],
[
"Kar",
"Subrat",
""
]
] | Routing algorithms for wireless sensor networks can be broadly divided into two classes - proactive and reactive. Proactive routing is suitable for a network with a fixed topology. On the other hand, reactive routing is more suitable for a set of mobile nodes where routes are created on demand and there is not much tim... |
1011.2644 | Anna Rimoldi | Anna Rimoldi and Massimiliano Sala and Enrico Bertolazzi | Do AES encryptions act randomly? | 15 pages | null | null | null | cs.IT cs.CR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Advanced Encryption Standard (AES) is widely recognized as the most
important block cipher in common use nowadays. This high assurance in AES is
given by its resistance to ten years of extensive cryptanalysis, that has shown
no weakness, not even any deviation from the statistical behaviour expected
from a random... | [
{
"created": "Thu, 11 Nov 2010 13:17:15 GMT",
"version": "v1"
}
] | 2010-11-12 | [
[
"Rimoldi",
"Anna",
""
],
[
"Sala",
"Massimiliano",
""
],
[
"Bertolazzi",
"Enrico",
""
]
] | The Advanced Encryption Standard (AES) is widely recognized as the most important block cipher in common use nowadays. This high assurance in AES is given by its resistance to ten years of extensive cryptanalysis, that has shown no weakness, not even any deviation from the statistical behaviour expected from a random p... |
1901.00754 | Stanislav Zivny | Silvia Butti and Stanislav Zivny | Sparsification of Binary CSPs | Full version of a STACS'19 paper | SIAM Journal on Discrete Mathematics 34(1) (2020) 825-842 | 10.1137/19M1242446 | null | cs.DS cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A cut $\varepsilon$-sparsifier of a weighted graph $G$ is a re-weighted
subgraph of $G$ of (quasi)linear size that preserves the size of all cuts up to
a multiplicative factor of $\varepsilon$. Since their introduction by Bencz\'ur
and Karger [STOC'96], cut sparsifiers have proved extremely influential and
found vari... | [
{
"created": "Thu, 3 Jan 2019 14:15:10 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Dec 2019 16:19:38 GMT",
"version": "v2"
}
] | 2020-03-25 | [
[
"Butti",
"Silvia",
""
],
[
"Zivny",
"Stanislav",
""
]
] | A cut $\varepsilon$-sparsifier of a weighted graph $G$ is a re-weighted subgraph of $G$ of (quasi)linear size that preserves the size of all cuts up to a multiplicative factor of $\varepsilon$. Since their introduction by Bencz\'ur and Karger [STOC'96], cut sparsifiers have proved extremely influential and found variou... |
2007.01189 | Avinash Madasu | Avinash Madasu and Vijjini Anvesh Rao | Sequential Domain Adaptation through Elastic Weight Consolidation for
Sentiment Analysis | Accepted at 25th International Conference on Pattern Recognition,
January 2021, Milan, Italy | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Elastic Weight Consolidation (EWC) is a technique used in overcoming
catastrophic forgetting between successive tasks trained on a neural network.
We use this phenomenon of information sharing between tasks for domain
adaptation. Training data for tasks such as sentiment analysis (SA) may not be
fairly represented ac... | [
{
"created": "Thu, 2 Jul 2020 15:21:56 GMT",
"version": "v1"
},
{
"created": "Sat, 4 Jul 2020 11:06:07 GMT",
"version": "v2"
},
{
"created": "Sun, 19 Jul 2020 08:50:19 GMT",
"version": "v3"
}
] | 2020-07-21 | [
[
"Madasu",
"Avinash",
""
],
[
"Rao",
"Vijjini Anvesh",
""
]
] | Elastic Weight Consolidation (EWC) is a technique used in overcoming catastrophic forgetting between successive tasks trained on a neural network. We use this phenomenon of information sharing between tasks for domain adaptation. Training data for tasks such as sentiment analysis (SA) may not be fairly represented acro... |
2302.07399 | Turgay Pamuklu | Anne Catherine Nguyen, Turgay Pamuklu, Aisha Syed, W. Sean Kennedy,
Melike Erol-Kantarci | To Risk or Not to Risk: Learning with Risk Quantification for IoT Task
Offloading in UAVs | Accepted for ICC2023 | null | null | null | cs.NI cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A deep reinforcement learning technique is presented for task offloading
decision-making algorithms for a multi-access edge computing (MEC) assisted
unmanned aerial vehicle (UAV) network in a smart farm Internet of Things (IoT)
environment. The task offloading technique uses financial concepts such as cost
functions ... | [
{
"created": "Tue, 14 Feb 2023 23:50:37 GMT",
"version": "v1"
}
] | 2023-02-16 | [
[
"Nguyen",
"Anne Catherine",
""
],
[
"Pamuklu",
"Turgay",
""
],
[
"Syed",
"Aisha",
""
],
[
"Kennedy",
"W. Sean",
""
],
[
"Erol-Kantarci",
"Melike",
""
]
] | A deep reinforcement learning technique is presented for task offloading decision-making algorithms for a multi-access edge computing (MEC) assisted unmanned aerial vehicle (UAV) network in a smart farm Internet of Things (IoT) environment. The task offloading technique uses financial concepts such as cost functions an... |
2312.05975 | Ravidu Suien Rammuni Silva | Ravidu Suien Rammuni Silva, Jordan J. Bird | FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision | null | null | null | null | cs.CV cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Explainability is an aspect of modern AI that is vital for impact and
usability in the real world. The main objective of this paper is to emphasise
the need to understand the predictions of Computer Vision models, specifically
Convolutional Neural Network (CNN) based models. Existing methods of explaining
CNN predict... | [
{
"created": "Sun, 10 Dec 2023 19:33:40 GMT",
"version": "v1"
},
{
"created": "Sat, 13 Apr 2024 10:45:47 GMT",
"version": "v2"
}
] | 2024-04-16 | [
[
"Silva",
"Ravidu Suien Rammuni",
""
],
[
"Bird",
"Jordan J.",
""
]
] | Explainability is an aspect of modern AI that is vital for impact and usability in the real world. The main objective of this paper is to emphasise the need to understand the predictions of Computer Vision models, specifically Convolutional Neural Network (CNN) based models. Existing methods of explaining CNN predictio... |
2010.02415 | Alexander Tong | Alexander Tong, Frederik Wenkel, Kincaid MacDonald, Smita
Krishnaswamy, Guy Wolf | Data-Driven Learning of Geometric Scattering Networks | 6 pages, 2 figures, 3 tables, Presented at IEEE MLSP 2021 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a new graph neural network (GNN) module, based on relaxations of
recently proposed geometric scattering transforms, which consist of a cascade
of graph wavelet filters. Our learnable geometric scattering (LEGS) module
enables adaptive tuning of the wavelets to encourage band-pass features to
emerge in lear... | [
{
"created": "Tue, 6 Oct 2020 01:20:27 GMT",
"version": "v1"
},
{
"created": "Mon, 22 Feb 2021 13:03:54 GMT",
"version": "v2"
},
{
"created": "Mon, 28 Mar 2022 16:17:03 GMT",
"version": "v3"
}
] | 2022-03-29 | [
[
"Tong",
"Alexander",
""
],
[
"Wenkel",
"Frederik",
""
],
[
"MacDonald",
"Kincaid",
""
],
[
"Krishnaswamy",
"Smita",
""
],
[
"Wolf",
"Guy",
""
]
] | We propose a new graph neural network (GNN) module, based on relaxations of recently proposed geometric scattering transforms, which consist of a cascade of graph wavelet filters. Our learnable geometric scattering (LEGS) module enables adaptive tuning of the wavelets to encourage band-pass features to emerge in learne... |
2310.18724 | Naman Goel | Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun | WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit
Courts | (Forthcoming) Proceedings of the 37th Conference on Neural
Information Processing Systems (NeurIPS 2023) Track on Datasets and
Benchmarks | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | Machine learning based decision-support tools in criminal justice systems are
subjects of intense discussions and academic research. There are important open
questions about the utility and fairness of such tools. Academic researchers
often rely on a few small datasets that are not sufficient to empirically study
var... | [
{
"created": "Sat, 28 Oct 2023 15:04:29 GMT",
"version": "v1"
}
] | 2023-10-31 | [
[
"Ash",
"Elliott",
""
],
[
"Goel",
"Naman",
""
],
[
"Li",
"Nianyun",
""
],
[
"Marangon",
"Claudia",
""
],
[
"Sun",
"Peiyao",
""
]
] | Machine learning based decision-support tools in criminal justice systems are subjects of intense discussions and academic research. There are important open questions about the utility and fairness of such tools. Academic researchers often rely on a few small datasets that are not sufficient to empirically study vario... |
1501.06140 | Moti Medina | Guy Even and Moti Medina and Boaz Patt-Shamir | Better Online Deterministic Packet Routing on Grids | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the following fundamental routing problem. An adversary inputs
packets arbitrarily at sources, each packet with an arbitrary destination.
Traffic is constrained by link capacities and buffer sizes, and packets may be
dropped at any time. The goal of the routing algorithm is to maximize
throughput, i.e., r... | [
{
"created": "Sun, 25 Jan 2015 11:22:58 GMT",
"version": "v1"
}
] | 2015-01-27 | [
[
"Even",
"Guy",
""
],
[
"Medina",
"Moti",
""
],
[
"Patt-Shamir",
"Boaz",
""
]
] | We consider the following fundamental routing problem. An adversary inputs packets arbitrarily at sources, each packet with an arbitrary destination. Traffic is constrained by link capacities and buffer sizes, and packets may be dropped at any time. The goal of the routing algorithm is to maximize throughput, i.e., rou... |
1712.07487 | Sebastian Sudholt | Sebastian Sudholt and Gernot Fink | Attribute CNNs for Word Spotting in Handwritten Documents | under review at IJDAR | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Word spotting has become a field of strong research interest in document
image analysis over the last years. Recently, AttributeSVMs were proposed which
predict a binary attribute representation. At their time, this influential
method defined the state-of-the-art in segmentation-based word spotting. In
this work, we ... | [
{
"created": "Wed, 20 Dec 2017 14:11:27 GMT",
"version": "v1"
}
] | 2017-12-21 | [
[
"Sudholt",
"Sebastian",
""
],
[
"Fink",
"Gernot",
""
]
] | Word spotting has become a field of strong research interest in document image analysis over the last years. Recently, AttributeSVMs were proposed which predict a binary attribute representation. At their time, this influential method defined the state-of-the-art in segmentation-based word spotting. In this work, we pr... |
2106.02566 | Tristan Gomez | Tristan Gomez, Suiyi Ling, Thomas Fr\'eour, Harold Mouch\`ere | BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the
Interpretability of Attention | null | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The prevalence of employing attention mechanisms has brought along concerns
on the interpretability of attention distributions. Although it provides
insights about how a model is operating, utilizing attention as the explanation
of model predictions is still highly dubious. The community is still seeking
more interpr... | [
{
"created": "Fri, 4 Jun 2021 15:57:37 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Jun 2021 10:25:01 GMT",
"version": "v2"
},
{
"created": "Mon, 31 Jan 2022 14:50:41 GMT",
"version": "v3"
},
{
"created": "Thu, 19 May 2022 07:19:38 GMT",
"version": "v4"
},
{
"cre... | 2022-09-16 | [
[
"Gomez",
"Tristan",
""
],
[
"Ling",
"Suiyi",
""
],
[
"Fréour",
"Thomas",
""
],
[
"Mouchère",
"Harold",
""
]
] | The prevalence of employing attention mechanisms has brought along concerns on the interpretability of attention distributions. Although it provides insights about how a model is operating, utilizing attention as the explanation of model predictions is still highly dubious. The community is still seeking more interpret... |
2301.01379 | Sanjeevan Ahilan | Sanjeevan Ahilan | A Succinct Summary of Reinforcement Learning | null | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | This document is a concise summary of many key results in single-agent
reinforcement learning (RL). The intended audience are those who already have
some familiarity with RL and are looking to review, reference and/or remind
themselves of important ideas in the field.
| [
{
"created": "Tue, 3 Jan 2023 22:17:55 GMT",
"version": "v1"
}
] | 2023-01-05 | [
[
"Ahilan",
"Sanjeevan",
""
]
] | This document is a concise summary of many key results in single-agent reinforcement learning (RL). The intended audience are those who already have some familiarity with RL and are looking to review, reference and/or remind themselves of important ideas in the field. |
2004.07623 | Ankur Mali | Ankur Mali, Alexander Ororbia, Daniel Kifer, Clyde Lee Giles | Recognizing Long Grammatical Sequences Using Recurrent Networks
Augmented With An External Differentiable Stack | 14 pages, 10 tables | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Recurrent neural networks (RNNs) are a widely used deep architecture for
sequence modeling, generation, and prediction. Despite success in applications
such as machine translation and voice recognition, these stateful models have
several critical shortcomings. Specifically, RNNs generalize poorly over very
long seque... | [
{
"created": "Sat, 4 Apr 2020 14:19:15 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Apr 2020 15:36:26 GMT",
"version": "v2"
}
] | 2020-04-23 | [
[
"Mali",
"Ankur",
""
],
[
"Ororbia",
"Alexander",
""
],
[
"Kifer",
"Daniel",
""
],
[
"Giles",
"Clyde Lee",
""
]
] | Recurrent neural networks (RNNs) are a widely used deep architecture for sequence modeling, generation, and prediction. Despite success in applications such as machine translation and voice recognition, these stateful models have several critical shortcomings. Specifically, RNNs generalize poorly over very long sequenc... |
1210.2462 | EPTCS | Alex Kruckman (Berkeley University), Sasha Rubin (TU Vienna and IST
Austria), John Sheridan, Ben Zax | A Myhill-Nerode theorem for automata with advice | In Proceedings GandALF 2012, arXiv:1210.2028 | EPTCS 96, 2012, pp. 238-246 | 10.4204/EPTCS.96.18 | null | cs.FL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An automaton with advice is a finite state automaton which has access to an
additional fixed infinite string called an advice tape. We refine the
Myhill-Nerode theorem to characterize the languages of finite strings that are
accepted by automata with advice. We do the same for tree automata with advice.
| [
{
"created": "Tue, 9 Oct 2012 00:55:28 GMT",
"version": "v1"
}
] | 2012-10-10 | [
[
"Kruckman",
"Alex",
"",
"Berkeley University"
],
[
"Rubin",
"Sasha",
"",
"TU Vienna and IST\n Austria"
],
[
"Sheridan",
"John",
""
],
[
"Zax",
"Ben",
""
]
] | An automaton with advice is a finite state automaton which has access to an additional fixed infinite string called an advice tape. We refine the Myhill-Nerode theorem to characterize the languages of finite strings that are accepted by automata with advice. We do the same for tree automata with advice. |
1906.01502 | Telmo Pires | Telmo Pires, Eva Schlinger and Dan Garrette | How multilingual is Multilingual BERT? | null | null | null | null | cs.CL cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we show that Multilingual BERT (M-BERT), released by Devlin et
al. (2018) as a single language model pre-trained from monolingual corpora in
104 languages, is surprisingly good at zero-shot cross-lingual model transfer,
in which task-specific annotations in one language are used to fine-tune the
model ... | [
{
"created": "Tue, 4 Jun 2019 15:12:47 GMT",
"version": "v1"
}
] | 2019-06-05 | [
[
"Pires",
"Telmo",
""
],
[
"Schlinger",
"Eva",
""
],
[
"Garrette",
"Dan",
""
]
] | In this paper, we show that Multilingual BERT (M-BERT), released by Devlin et al. (2018) as a single language model pre-trained from monolingual corpora in 104 languages, is surprisingly good at zero-shot cross-lingual model transfer, in which task-specific annotations in one language are used to fine-tune the model fo... |
2010.13676 | Radu P Horaud | Zhiqi Kang, Mostafa Sadeghi and Radu Horaud | Face Frontalization Based on Robustly Fitting a Deformable Shape Model
to 3D Landmarks | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Face frontalization consists of synthesizing a frontally-viewed face from an
arbitrarily-viewed one. The main contribution of this paper is a robust face
alignment method that enables pixel-to-pixel warping. The method simultaneously
estimates the rigid transformation (scale, rotation, and translation) and the
non-ri... | [
{
"created": "Mon, 26 Oct 2020 15:52:50 GMT",
"version": "v1"
},
{
"created": "Wed, 10 Mar 2021 10:45:41 GMT",
"version": "v2"
}
] | 2021-03-11 | [
[
"Kang",
"Zhiqi",
""
],
[
"Sadeghi",
"Mostafa",
""
],
[
"Horaud",
"Radu",
""
]
] | Face frontalization consists of synthesizing a frontally-viewed face from an arbitrarily-viewed one. The main contribution of this paper is a robust face alignment method that enables pixel-to-pixel warping. The method simultaneously estimates the rigid transformation (scale, rotation, and translation) and the non-rigi... |
2303.17580 | Yongliang Shen | Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting
Zhuang | HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging
Face | null | null | null | null | cs.CL cs.AI cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Solving complicated AI tasks with different domains and modalities is a key
step toward artificial general intelligence. While there are numerous AI models
available for various domains and modalities, they cannot handle complicated AI
tasks autonomously. Considering large language models (LLMs) have exhibited
except... | [
{
"created": "Thu, 30 Mar 2023 17:48:28 GMT",
"version": "v1"
},
{
"created": "Sun, 2 Apr 2023 17:24:47 GMT",
"version": "v2"
},
{
"created": "Thu, 25 May 2023 15:50:20 GMT",
"version": "v3"
},
{
"created": "Sun, 3 Dec 2023 18:17:21 GMT",
"version": "v4"
}
] | 2023-12-05 | [
[
"Shen",
"Yongliang",
""
],
[
"Song",
"Kaitao",
""
],
[
"Tan",
"Xu",
""
],
[
"Li",
"Dongsheng",
""
],
[
"Lu",
"Weiming",
""
],
[
"Zhuang",
"Yueting",
""
]
] | Solving complicated AI tasks with different domains and modalities is a key step toward artificial general intelligence. While there are numerous AI models available for various domains and modalities, they cannot handle complicated AI tasks autonomously. Considering large language models (LLMs) have exhibited exceptio... |
1606.07502 | Biljana Risteska Stojkoska Dr | Biljana Stojkoska, Ilinka Ivanoska and Danco Davcev | Wireless Sensor Networks Localization Methods: Multidimensional Scaling
vs. Semidefinite Programming Approach | 12 pages | ICT Innovations 2009, Ohrid, Macedonia, pp.145-155, Print ISBN
978-3-642-10780-1, Online ISBN 978-3-642-10781-8 | 10.1007/978-3-642-10781-8_16 | null | cs.DC cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the recent development of technology, wireless sensor networks are
becoming an important part of many applications such as health and medical
applications, military applications, agriculture monitoring, home and office
applications, environmental monitoring, etc. Knowing the location of a sensor
is important, bu... | [
{
"created": "Thu, 23 Jun 2016 22:46:52 GMT",
"version": "v1"
}
] | 2016-06-27 | [
[
"Stojkoska",
"Biljana",
""
],
[
"Ivanoska",
"Ilinka",
""
],
[
"Davcev",
"Danco",
""
]
] | With the recent development of technology, wireless sensor networks are becoming an important part of many applications such as health and medical applications, military applications, agriculture monitoring, home and office applications, environmental monitoring, etc. Knowing the location of a sensor is important, but ... |
2306.15597 | Ruilong Zhang | Christoph Damerius, Peter Kling, Minming Li, Chenyang Xu, Ruilong
Zhang | Scheduling with a Limited Testing Budget | To appear in ESA 2023 | null | null | null | cs.DS | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Scheduling with testing falls under the umbrella of the research on
optimization with explorable uncertainty. In this model, each job has an upper
limit on its processing time that can be decreased to a lower limit (possibly
unknown) by some preliminary action (testing). Recently, D{\"{u}}rr et al.
\cite{DBLP:journal... | [
{
"created": "Tue, 27 Jun 2023 16:34:15 GMT",
"version": "v1"
}
] | 2023-06-28 | [
[
"Damerius",
"Christoph",
""
],
[
"Kling",
"Peter",
""
],
[
"Li",
"Minming",
""
],
[
"Xu",
"Chenyang",
""
],
[
"Zhang",
"Ruilong",
""
]
] | Scheduling with testing falls under the umbrella of the research on optimization with explorable uncertainty. In this model, each job has an upper limit on its processing time that can be decreased to a lower limit (possibly unknown) by some preliminary action (testing). Recently, D{\"{u}}rr et al. \cite{DBLP:journals/... |
2204.02341 | Jonathan Grizou | Jonathan Grizou | IFTT-PIN: Demonstrating the Self-Calibration Paradigm on a PIN-Entry
Task | null | null | null | null | cs.HC cs.AI cs.LG | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We demonstrate IFTT-PIN, a self-calibrating version of the PIN-entry method
introduced in Roth et al. (2004) [1]. In [1], digits are split into two sets
and assigned a color respectively. To communicate their digit, users press the
button with the same color that is assigned to their digit, which can be
identified by... | [
{
"created": "Tue, 5 Apr 2022 16:56:40 GMT",
"version": "v1"
}
] | 2022-04-06 | [
[
"Grizou",
"Jonathan",
""
]
] | We demonstrate IFTT-PIN, a self-calibrating version of the PIN-entry method introduced in Roth et al. (2004) [1]. In [1], digits are split into two sets and assigned a color respectively. To communicate their digit, users press the button with the same color that is assigned to their digit, which can be identified by e... |
2101.09601 | Renaud-Alexandre Pitaval | Renaud-Alexandre Pitaval | A note on simplified SINR expressions for OFDM with insufficient CP | null | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | This note provides derivation details of simplified OFDM transmission
equation and resulting signal-to-interference plus noise ratio (SINR) for the
case of an insufficient CP. Each channel component after demodulation is
expressed as a single sum which can be interpreted a weighted Fourier transform
of the channel im... | [
{
"created": "Sat, 23 Jan 2021 22:52:41 GMT",
"version": "v1"
}
] | 2021-01-26 | [
[
"Pitaval",
"Renaud-Alexandre",
""
]
] | This note provides derivation details of simplified OFDM transmission equation and resulting signal-to-interference plus noise ratio (SINR) for the case of an insufficient CP. Each channel component after demodulation is expressed as a single sum which can be interpreted a weighted Fourier transform of the channel impu... |
1106.4569 | D. V. Pynadath | D. V. Pynadath, M. Tambe | The Communicative Multiagent Team Decision Problem: Analyzing Teamwork
Theories and Models | null | Journal Of Artificial Intelligence Research, Volume 16, pages
389-423, 2002 | 10.1613/jair.1024 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the significant progress in multiagent teamwork, existing research
does not address the optimality of its prescriptions nor the complexity of the
teamwork problem. Without a characterization of the optimality-complexity
tradeoffs, it is impossible to determine whether the assumptions and
approximations made b... | [
{
"created": "Wed, 22 Jun 2011 20:55:38 GMT",
"version": "v1"
}
] | 2011-06-24 | [
[
"Pynadath",
"D. V.",
""
],
[
"Tambe",
"M.",
""
]
] | Despite the significant progress in multiagent teamwork, existing research does not address the optimality of its prescriptions nor the complexity of the teamwork problem. Without a characterization of the optimality-complexity tradeoffs, it is impossible to determine whether the assumptions and approximations made by ... |
2104.05072 | Furkan K{\i}nl{\i} | Furkan K{\i}nl{\i}, Bar{\i}\c{s} \"Ozcan, Furkan K{\i}ra\c{c} | Instagram Filter Removal on Fashionable Images | 10 pages, 7 figures, Accepted to New Trends in Image Restoration and
Enhancement workshop and challenges on image and video processing in
conjunction with CVPR 2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Social media images are generally transformed by filtering to obtain
aesthetically more pleasing appearances. However, CNNs generally fail to
interpret both the image and its filtered version as the same in the visual
analysis of social media images. We introduce Instagram Filter Removal Network
(IFRNet) to mitigate ... | [
{
"created": "Sun, 11 Apr 2021 18:44:43 GMT",
"version": "v1"
}
] | 2021-04-13 | [
[
"Kınlı",
"Furkan",
""
],
[
"Özcan",
"Barış",
""
],
[
"Kıraç",
"Furkan",
""
]
] | Social media images are generally transformed by filtering to obtain aesthetically more pleasing appearances. However, CNNs generally fail to interpret both the image and its filtered version as the same in the visual analysis of social media images. We introduce Instagram Filter Removal Network (IFRNet) to mitigate th... |
2207.00526 | Matthew Earnshaw | Matthew Earnshaw, Pawe{\l} Soboci\'nski | Regular Monoidal Languages | Full version of a paper accepted for MFCS 2022 | null | null | null | cs.FL math.CT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce regular languages of morphisms in free monoidal categories, with
their associated grammars and automata. These subsume the classical theory of
regular languages of words and trees, but also open up a much wider class of
languages over string diagrams. We use the algebra of monoidal and cartesian
restrict... | [
{
"created": "Fri, 1 Jul 2022 16:18:52 GMT",
"version": "v1"
}
] | 2022-07-04 | [
[
"Earnshaw",
"Matthew",
""
],
[
"Sobociński",
"Paweł",
""
]
] | We introduce regular languages of morphisms in free monoidal categories, with their associated grammars and automata. These subsume the classical theory of regular languages of words and trees, but also open up a much wider class of languages over string diagrams. We use the algebra of monoidal and cartesian restrictio... |
1812.05815 | Anna Bosman | Kevin Louis de Jong and Anna Sergeevna Bosman | Unsupervised Change Detection in Satellite Images Using Convolutional
Neural Networks | Paper accepted to IJCNN 2019 | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes an efficient unsupervised method for detecting relevant
changes between two temporally different images of the same scene. A
convolutional neural network (CNN) for semantic segmentation is implemented to
extract compressed image features, as well as to classify the detected changes
into the correc... | [
{
"created": "Fri, 14 Dec 2018 08:15:15 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Mar 2019 10:37:16 GMT",
"version": "v2"
}
] | 2019-03-22 | [
[
"de Jong",
"Kevin Louis",
""
],
[
"Bosman",
"Anna Sergeevna",
""
]
] | This paper proposes an efficient unsupervised method for detecting relevant changes between two temporally different images of the same scene. A convolutional neural network (CNN) for semantic segmentation is implemented to extract compressed image features, as well as to classify the detected changes into the correct ... |
1509.06767 | Jason McEwen | Jason D. McEwen, Claudio Durastanti, Yves Wiaux | Localisation of directional scale-discretised wavelets on the sphere | 28 pages, 8 figures, minor changes to match version accepted for
publication by ACHA | null | 10.1016/j.acha.2016.03.009 | null | cs.IT astro-ph.IM math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Scale-discretised wavelets yield a directional wavelet framework on the
sphere where a signal can be probed not only in scale and position but also in
orientation. Furthermore, a signal can be synthesised from its wavelet
coefficients exactly, in theory and practice (to machine precision).
Scale-discretised wavelets ... | [
{
"created": "Tue, 22 Sep 2015 20:27:17 GMT",
"version": "v1"
},
{
"created": "Tue, 5 Apr 2016 16:08:12 GMT",
"version": "v2"
}
] | 2017-08-17 | [
[
"McEwen",
"Jason D.",
""
],
[
"Durastanti",
"Claudio",
""
],
[
"Wiaux",
"Yves",
""
]
] | Scale-discretised wavelets yield a directional wavelet framework on the sphere where a signal can be probed not only in scale and position but also in orientation. Furthermore, a signal can be synthesised from its wavelet coefficients exactly, in theory and practice (to machine precision). Scale-discretised wavelets ar... |
2305.02728 | Alex Iacob | Alex Iacob, Pedro P. B. Gusm\~ao, Nicholas D. Lane | Can Fair Federated Learning reduce the need for Personalisation? | In 3rd Workshop on Machine Learning and Systems (EuroMLSys 2023), 9
pages | null | 10.1145/3578356.3592592 | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Federated Learning (FL) enables training ML models on edge clients without
sharing data. However, the federated model's performance on local data varies,
disincentivising the participation of clients who benefit little from FL. Fair
FL reduces accuracy disparity by focusing on clients with higher losses while
persona... | [
{
"created": "Thu, 4 May 2023 11:03:33 GMT",
"version": "v1"
}
] | 2023-05-05 | [
[
"Iacob",
"Alex",
""
],
[
"Gusmão",
"Pedro P. B.",
""
],
[
"Lane",
"Nicholas D.",
""
]
] | Federated Learning (FL) enables training ML models on edge clients without sharing data. However, the federated model's performance on local data varies, disincentivising the participation of clients who benefit little from FL. Fair FL reduces accuracy disparity by focusing on clients with higher losses while personali... |
2404.19311 | Yazhou Yao | Wang Zhang, Tingting Li, Yuntian Zhang, Gensheng Pei, Xiruo Jiang,
Yazhou Yao | A Light-weight Transformer-based Self-supervised Matching Network for
Heterogeneous Images | accepted by Information Fusion | null | null | null | cs.CV cs.MM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Matching visible and near-infrared (NIR) images remains a significant
challenge in remote sensing image fusion. The nonlinear radiometric differences
between heterogeneous remote sensing images make the image matching task even
more difficult. Deep learning has gained substantial attention in computer
vision tasks in... | [
{
"created": "Tue, 30 Apr 2024 07:30:33 GMT",
"version": "v1"
}
] | 2024-05-01 | [
[
"Zhang",
"Wang",
""
],
[
"Li",
"Tingting",
""
],
[
"Zhang",
"Yuntian",
""
],
[
"Pei",
"Gensheng",
""
],
[
"Jiang",
"Xiruo",
""
],
[
"Yao",
"Yazhou",
""
]
] | Matching visible and near-infrared (NIR) images remains a significant challenge in remote sensing image fusion. The nonlinear radiometric differences between heterogeneous remote sensing images make the image matching task even more difficult. Deep learning has gained substantial attention in computer vision tasks in r... |
2305.14288 | Chenxi Whitehouse | Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji | LLM-powered Data Augmentation for Enhanced Cross-lingual Performance | EMNLP 2023 Main Conference | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | This paper explores the potential of leveraging Large Language Models (LLMs)
for data augmentation in multilingual commonsense reasoning datasets where the
available training data is extremely limited. To achieve this, we utilise
several LLMs, namely Dolly-v2, StableVicuna, ChatGPT, and GPT-4, to augment
three datase... | [
{
"created": "Tue, 23 May 2023 17:33:27 GMT",
"version": "v1"
},
{
"created": "Sun, 22 Oct 2023 22:57:00 GMT",
"version": "v2"
}
] | 2023-10-24 | [
[
"Whitehouse",
"Chenxi",
""
],
[
"Choudhury",
"Monojit",
""
],
[
"Aji",
"Alham Fikri",
""
]
] | This paper explores the potential of leveraging Large Language Models (LLMs) for data augmentation in multilingual commonsense reasoning datasets where the available training data is extremely limited. To achieve this, we utilise several LLMs, namely Dolly-v2, StableVicuna, ChatGPT, and GPT-4, to augment three datasets... |
2011.00574 | Omid Taheri | Omid Taheri, Hassan Salarieh, Aria Alasty | Human Leg Motion Tracking by Fusing IMUs and RGB Camera Data Using
Extended Kalman Filter | This paper results from O. Taheri's MSc Thesis (2017) at the Sharif
University of Technology | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human motion capture is frequently used to study rehabilitation and clinical
problems, as well as to provide realistic animation for the entertainment
industry. IMU-based systems, as well as Marker-based motion tracking systems,
are the most popular methods to track movement due to their low cost of
implementation an... | [
{
"created": "Sun, 1 Nov 2020 17:54:53 GMT",
"version": "v1"
},
{
"created": "Mon, 7 Dec 2020 22:20:27 GMT",
"version": "v2"
}
] | 2020-12-09 | [
[
"Taheri",
"Omid",
""
],
[
"Salarieh",
"Hassan",
""
],
[
"Alasty",
"Aria",
""
]
] | Human motion capture is frequently used to study rehabilitation and clinical problems, as well as to provide realistic animation for the entertainment industry. IMU-based systems, as well as Marker-based motion tracking systems, are the most popular methods to track movement due to their low cost of implementation and ... |
2305.17710 | Wentao Chao | Wentao Chao, Fuqing Duan, Xuechun Wang, Yingqian Wang, Guanghui Wang | OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth
Estimation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Light field (LF) depth estimation is a crucial task with numerous practical
applications. However, mainstream methods based on the multi-view stereo (MVS)
are resource-intensive and time-consuming as they need to construct a finer
cost volume. To address this issue and achieve a better trade-off between
accuracy and ... | [
{
"created": "Sun, 28 May 2023 12:31:27 GMT",
"version": "v1"
}
] | 2023-05-30 | [
[
"Chao",
"Wentao",
""
],
[
"Duan",
"Fuqing",
""
],
[
"Wang",
"Xuechun",
""
],
[
"Wang",
"Yingqian",
""
],
[
"Wang",
"Guanghui",
""
]
] | Light field (LF) depth estimation is a crucial task with numerous practical applications. However, mainstream methods based on the multi-view stereo (MVS) are resource-intensive and time-consuming as they need to construct a finer cost volume. To address this issue and achieve a better trade-off between accuracy and ef... |
2304.10596 | Akhil K | Akhil Kuniyil, Avinash Kshitij, and Kasturi Mandal | Enhancing Artificial intelligence Policies with Fusion and Forecasting:
Insights from Indian Patents Using Network Analysis | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | This paper presents a study of the interconnectivity and interdependence of
various Artificial intelligence (AI) technologies through the use of centrality
measures, clustering coefficients, and degree of fusion measures. By analyzing
the technologies through different time windows and quantifying their
importance, w... | [
{
"created": "Thu, 20 Apr 2023 18:37:11 GMT",
"version": "v1"
}
] | 2023-04-24 | [
[
"Kuniyil",
"Akhil",
""
],
[
"Kshitij",
"Avinash",
""
],
[
"Mandal",
"Kasturi",
""
]
] | This paper presents a study of the interconnectivity and interdependence of various Artificial intelligence (AI) technologies through the use of centrality measures, clustering coefficients, and degree of fusion measures. By analyzing the technologies through different time windows and quantifying their importance, we ... |
2107.13600 | Michael Jones | Sai Saketh Rambhatla, Michael Jones, Rama Chellappa | To Boost or not to Boost: On the Limits of Boosted Neural Networks | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Boosting is a method for finding a highly accurate hypothesis by linearly
combining many ``weak" hypotheses, each of which may be only moderately
accurate. Thus, boosting is a method for learning an ensemble of classifiers.
While boosting has been shown to be very effective for decision trees, its
impact on neural ne... | [
{
"created": "Wed, 28 Jul 2021 19:10:03 GMT",
"version": "v1"
}
] | 2021-07-30 | [
[
"Rambhatla",
"Sai Saketh",
""
],
[
"Jones",
"Michael",
""
],
[
"Chellappa",
"Rama",
""
]
] | Boosting is a method for finding a highly accurate hypothesis by linearly combining many ``weak" hypotheses, each of which may be only moderately accurate. Thus, boosting is a method for learning an ensemble of classifiers. While boosting has been shown to be very effective for decision trees, its impact on neural netw... |
1602.08721 | Oren Kalinsky | Oren Kalinsky, Yoav Etsion, Benny Kimelfeld | Flexible Caching in Trie Joins | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditional algorithms for multiway join computation are based on rewriting
the order of joins and combining results of intermediate subqueries. Recently,
several approaches have been proposed for algorithms that are "worst-case
optimal" wherein all relations are scanned simultaneously. An example is
Veldhuizen's Lea... | [
{
"created": "Sun, 28 Feb 2016 14:26:08 GMT",
"version": "v1"
}
] | 2016-03-01 | [
[
"Kalinsky",
"Oren",
""
],
[
"Etsion",
"Yoav",
""
],
[
"Kimelfeld",
"Benny",
""
]
] | Traditional algorithms for multiway join computation are based on rewriting the order of joins and combining results of intermediate subqueries. Recently, several approaches have been proposed for algorithms that are "worst-case optimal" wherein all relations are scanned simultaneously. An example is Veldhuizen's Leapf... |
2303.03642 | Xinhang Lu | Haris Aziz, Xinhang Lu, Mashbat Suzuki, Jeremy Vollen, Toby Walsh | Best-of-Both-Worlds Fairness in Committee Voting | Appears in the 19th Conference on Web and Internet Economics (WINE),
2023 | null | null | null | cs.GT econ.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The best-of-both-worlds paradigm advocates an approach that achieves
desirable properties both ex-ante and ex-post. We launch a best-of-both-worlds
fairness perspective for the important social choice setting of approval-based
committee voting. To this end, we initiate work on ex-ante proportional
representation prop... | [
{
"created": "Tue, 7 Mar 2023 04:19:47 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Jul 2023 06:46:16 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Dec 2023 13:23:33 GMT",
"version": "v3"
}
] | 2023-12-27 | [
[
"Aziz",
"Haris",
""
],
[
"Lu",
"Xinhang",
""
],
[
"Suzuki",
"Mashbat",
""
],
[
"Vollen",
"Jeremy",
""
],
[
"Walsh",
"Toby",
""
]
] | The best-of-both-worlds paradigm advocates an approach that achieves desirable properties both ex-ante and ex-post. We launch a best-of-both-worlds fairness perspective for the important social choice setting of approval-based committee voting. To this end, we initiate work on ex-ante proportional representation proper... |
2308.08495 | Ciaran Eising | Ciar\'an Hogan, Ganesh Sistu, Ciar\'an Eising | Self-Supervised Online Camera Calibration for Automated Driving and
Parking Applications | null | Proceedings of the Irish Machine Vision and Image Processing
Conference 2023 | null | null | cs.CV cs.RO | http://creativecommons.org/licenses/by/4.0/ | Camera-based perception systems play a central role in modern autonomous
vehicles. These camera based perception algorithms require an accurate
calibration to map the real world distances to image pixels. In practice,
calibration is a laborious procedure requiring specialised data collection and
careful tuning. This ... | [
{
"created": "Wed, 16 Aug 2023 16:49:50 GMT",
"version": "v1"
}
] | 2023-08-17 | [
[
"Hogan",
"Ciarán",
""
],
[
"Sistu",
"Ganesh",
""
],
[
"Eising",
"Ciarán",
""
]
] | Camera-based perception systems play a central role in modern autonomous vehicles. These camera based perception algorithms require an accurate calibration to map the real world distances to image pixels. In practice, calibration is a laborious procedure requiring specialised data collection and careful tuning. This pr... |
1311.6677 | Alexandr Klimchik | Alexandr Klimchik (IRCCyN), Yier Wu (IRCCyN), St\'ephane Caro
(IRCCyN), Beno\^it Furet (IRCCyN), Anatol Pashkevich (IRCCyN) | Advanced robot calibration using partial pose measurements | null | 18th International Conference on Methods and Models in Automation
and Robotics (MMAR 2013), Mi{\ke}dzyzdroje : Poland (2013) | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The paper focuses on the calibration of serial industrial robots using
partial pose measurements. In contrast to other works, the developed advanced
robot calibration technique is suitable for geometrical and elastostatic
calibration. The main attention is paid to the model parameters identification
accuracy. To redu... | [
{
"created": "Tue, 26 Nov 2013 14:02:58 GMT",
"version": "v1"
}
] | 2013-11-27 | [
[
"Klimchik",
"Alexandr",
"",
"IRCCyN"
],
[
"Wu",
"Yier",
"",
"IRCCyN"
],
[
"Caro",
"Stéphane",
"",
"IRCCyN"
],
[
"Furet",
"Benoît",
"",
"IRCCyN"
],
[
"Pashkevich",
"Anatol",
"",
"IRCCyN"
]
] | The paper focuses on the calibration of serial industrial robots using partial pose measurements. In contrast to other works, the developed advanced robot calibration technique is suitable for geometrical and elastostatic calibration. The main attention is paid to the model parameters identification accuracy. To reduce... |
2405.14394 | Zhengxiang Shi | Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz,
Aldo Lipani | Instruction Tuning With Loss Over Instructions | Code is available at
https://github.com/ZhengxiangShi/InstructionModelling | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Instruction tuning plays a crucial role in shaping the outputs of language
models (LMs) to desired styles. In this work, we propose a simple yet effective
method, Instruction Modelling (IM), which trains LMs by applying a loss
function to the instruction and prompt part rather than solely to the output
part. Through ... | [
{
"created": "Thu, 23 May 2024 10:12:03 GMT",
"version": "v1"
}
] | 2024-05-24 | [
[
"Shi",
"Zhengyan",
""
],
[
"Yang",
"Adam X.",
""
],
[
"Wu",
"Bin",
""
],
[
"Aitchison",
"Laurence",
""
],
[
"Yilmaz",
"Emine",
""
],
[
"Lipani",
"Aldo",
""
]
] | Instruction tuning plays a crucial role in shaping the outputs of language models (LMs) to desired styles. In this work, we propose a simple yet effective method, Instruction Modelling (IM), which trains LMs by applying a loss function to the instruction and prompt part rather than solely to the output part. Through ex... |
1705.02397 | Nikhil Mande | Arkadev Chattopadhyay and Nikhil S. Mande | Weights at the Bottom Matter When the Top is Heavy | null | null | null | null | cs.CC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Proving super-polynomial lower bounds against depth-2 threshold circuits of
the form THR of THR is a well-known open problem that represents a frontier of
our understanding in boolean circuit complexity. By contrast, exponential lower
bounds on the size of THR of MAJ circuits were shown by Razborov and Sherstov
(SIAM... | [
{
"created": "Fri, 5 May 2017 21:08:31 GMT",
"version": "v1"
}
] | 2017-05-09 | [
[
"Chattopadhyay",
"Arkadev",
""
],
[
"Mande",
"Nikhil S.",
""
]
] | Proving super-polynomial lower bounds against depth-2 threshold circuits of the form THR of THR is a well-known open problem that represents a frontier of our understanding in boolean circuit complexity. By contrast, exponential lower bounds on the size of THR of MAJ circuits were shown by Razborov and Sherstov (SIAM J... |
1603.08293 | Feiping Nie | Feiping Nie and Heng Huang | Non-Greedy L21-Norm Maximization for Principal Component Analysis | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Principal Component Analysis (PCA) is one of the most important unsupervised
methods to handle high-dimensional data. However, due to the high computational
complexity of its eigen decomposition solution, it hard to apply PCA to the
large-scale data with high dimensionality. Meanwhile, the squared L2-norm based
objec... | [
{
"created": "Mon, 28 Mar 2016 03:37:26 GMT",
"version": "v1"
}
] | 2016-03-29 | [
[
"Nie",
"Feiping",
""
],
[
"Huang",
"Heng",
""
]
] | Principal Component Analysis (PCA) is one of the most important unsupervised methods to handle high-dimensional data. However, due to the high computational complexity of its eigen decomposition solution, it hard to apply PCA to the large-scale data with high dimensionality. Meanwhile, the squared L2-norm based objecti... |
1705.06264 | Stanislav Filippov | Stanislav Filippov, Arsenii Moiseev and Andronenko Andrey | Deep Diagnostics: Applying Convolutional Neural Networks for Vessels
Defects Detection | Complaint to the article due to low research quality | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Coronary angiography is considered to be a safe tool for the evaluation of
coronary artery disease and perform in approximately 12 million patients each
year worldwide. [1] In most cases, angiograms are manually analyzed by a
cardiologist. Actually, there are no clinical practice algorithms which could
improve and au... | [
{
"created": "Wed, 17 May 2017 17:17:07 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Jun 2017 16:56:23 GMT",
"version": "v2"
}
] | 2017-06-07 | [
[
"Filippov",
"Stanislav",
""
],
[
"Moiseev",
"Arsenii",
""
],
[
"Andrey",
"Andronenko",
""
]
] | Coronary angiography is considered to be a safe tool for the evaluation of coronary artery disease and perform in approximately 12 million patients each year worldwide. [1] In most cases, angiograms are manually analyzed by a cardiologist. Actually, there are no clinical practice algorithms which could improve and auto... |
1509.08979 | Diego Calvanese | Diego Calvanese, Giuseppe De Giacomo, Maurizio Lenzerini, Moshe Y.
Vardi | Fixpoint Node Selection Query Languages for Trees | null | null | null | null | cs.DB cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The study of node selection query languages for (finite) trees has been a
major topic in the recent research on query languages for Web documents. On one
hand, there has been an extensive study of XPath and its various extensions. On
the other hand, query languages based on classical logics, such as first-order
logic... | [
{
"created": "Wed, 30 Sep 2015 00:12:55 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Nov 2018 17:48:36 GMT",
"version": "v2"
},
{
"created": "Wed, 14 Nov 2018 05:31:19 GMT",
"version": "v3"
}
] | 2018-11-15 | [
[
"Calvanese",
"Diego",
""
],
[
"De Giacomo",
"Giuseppe",
""
],
[
"Lenzerini",
"Maurizio",
""
],
[
"Vardi",
"Moshe Y.",
""
]
] | The study of node selection query languages for (finite) trees has been a major topic in the recent research on query languages for Web documents. On one hand, there has been an extensive study of XPath and its various extensions. On the other hand, query languages based on classical logics, such as first-order logic (... |
1906.07809 | Parisa Kordjamshidi | Parisa Kordjamshidi, Dan Roth, Kristian Kersting | Declarative Learning-Based Programming as an Interface to AI Systems | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data-driven approaches are becoming more common as problem-solving techniques
in many areas of research and industry. In most cases, machine learning models
are the key component of these solutions, but a solution involves multiple such
models, along with significant levels of reasoning with the models' output and
in... | [
{
"created": "Tue, 18 Jun 2019 20:57:51 GMT",
"version": "v1"
}
] | 2019-06-20 | [
[
"Kordjamshidi",
"Parisa",
""
],
[
"Roth",
"Dan",
""
],
[
"Kersting",
"Kristian",
""
]
] | Data-driven approaches are becoming more common as problem-solving techniques in many areas of research and industry. In most cases, machine learning models are the key component of these solutions, but a solution involves multiple such models, along with significant levels of reasoning with the models' output and inpu... |
2105.06004 | Debarnab Mitra | Debarnab Mitra, Lev Tauz and Lara Dolecek | Communication-Efficient LDPC Code Design for Data Availability Oracle in
Side Blockchains | 7 pages, 2 figures, 2 tables, To appear in Information Theory
Workshop (ITW) 2021 | null | null | null | cs.IT cs.CR math.IT | http://creativecommons.org/licenses/by/4.0/ | A popular method of improving the throughput of blockchain systems is by
running smaller side blockchains that push the hashes of their blocks onto a
trusted blockchain. Side blockchains are vulnerable to stalling attacks where a
side blockchain node pushes the hash of a block to the trusted blockchain but
makes the ... | [
{
"created": "Wed, 12 May 2021 23:57:42 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Aug 2021 03:34:26 GMT",
"version": "v2"
}
] | 2021-08-27 | [
[
"Mitra",
"Debarnab",
""
],
[
"Tauz",
"Lev",
""
],
[
"Dolecek",
"Lara",
""
]
] | A popular method of improving the throughput of blockchain systems is by running smaller side blockchains that push the hashes of their blocks onto a trusted blockchain. Side blockchains are vulnerable to stalling attacks where a side blockchain node pushes the hash of a block to the trusted blockchain but makes the bl... |
2402.11843 | Yan Hong | Yan Hong, Jianfu Zhang | WildFake: A Large-scale Challenging Dataset for AI-Generated Images
Detection | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | The extraordinary ability of generative models enabled the generation of
images with such high quality that human beings cannot distinguish Artificial
Intelligence (AI) generated images from real-life photographs. The development
of generation techniques opened up new opportunities but concurrently
introduced potenti... | [
{
"created": "Mon, 19 Feb 2024 05:13:39 GMT",
"version": "v1"
}
] | 2024-02-20 | [
[
"Hong",
"Yan",
""
],
[
"Zhang",
"Jianfu",
""
]
] | The extraordinary ability of generative models enabled the generation of images with such high quality that human beings cannot distinguish Artificial Intelligence (AI) generated images from real-life photographs. The development of generation techniques opened up new opportunities but concurrently introduced potential... |
2212.03550 | Aleksandr Grekov | Aleksandr N. Grekov (1) (2), Aleksei A. Kabanov (2), Sergei Yu.
Alekseev (1), ((1) Institute of Natural and Technical Systems, (2) Sevastopol
State University) | Support Vector Machine for Determining Euler Angles in an Inertial
Navigation System | 7 pages, 5 figures, 5 formulas | Monitoring systems of environment 4(46),2021: 134-142 | 10.33075/2220-5861-2021-4-134-142 | null | cs.RO cs.AI cs.SY eess.SP eess.SY physics.ins-det | http://creativecommons.org/licenses/by/4.0/ | The paper discusses the improvement of the accuracy of an inertial navigation
system created on the basis of MEMS sensors using machine learning (ML)
methods. As input data for the classifier, we used infor-mation obtained from a
developed laboratory setup with MEMS sensors on a sealed platform with the
ability to ad... | [
{
"created": "Wed, 7 Dec 2022 10:01:11 GMT",
"version": "v1"
}
] | 2022-12-08 | [
[
"Grekov",
"Aleksandr N.",
""
],
[
"Kabanov",
"Aleksei A.",
""
],
[
"Alekseev",
"Sergei Yu.",
""
]
] | The paper discusses the improvement of the accuracy of an inertial navigation system created on the basis of MEMS sensors using machine learning (ML) methods. As input data for the classifier, we used infor-mation obtained from a developed laboratory setup with MEMS sensors on a sealed platform with the ability to adju... |
1206.4632 | Julia Vogt | Julia Vogt (University of Basel), Volker Roth (University of Basel) | A Complete Analysis of the l_1,p Group-Lasso | ICML2012 | null | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Group-Lasso is a well-known tool for joint regularization in machine
learning methods. While the l_{1,2} and the l_{1,\infty} version have been
studied in detail and efficient algorithms exist, there are still open
questions regarding other l_{1,p} variants. We characterize conditions for
solutions of the l_{1,p}... | [
{
"created": "Mon, 18 Jun 2012 15:12:01 GMT",
"version": "v1"
}
] | 2012-06-22 | [
[
"Vogt",
"Julia",
"",
"University of Basel"
],
[
"Roth",
"Volker",
"",
"University of Basel"
]
] | The Group-Lasso is a well-known tool for joint regularization in machine learning methods. While the l_{1,2} and the l_{1,\infty} version have been studied in detail and efficient algorithms exist, there are still open questions regarding other l_{1,p} variants. We characterize conditions for solutions of the l_{1,p} G... |
2206.12896 | Kirk Pruhs | Marilena Leichter, Benjamin Moseley, Kirk Pruhs | On the Impossibility of Decomposing Binary Matroids | null | null | null | null | cs.DS math.CO | http://creativecommons.org/licenses/by/4.0/ | We show that there exist $k$-colorable matroids that are not
$(b,c)$-decomposable when $b$ and $c$ are constants. A matroid is
$(b,c)$-decomposable, if its ground set of elements can be partitioned into
sets $X_1, X_2, \ldots, X_l$ with the following two properties. Each set $X_i$
has size at most $ck$. Moreover, for... | [
{
"created": "Sun, 26 Jun 2022 15:06:20 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Jun 2022 14:15:36 GMT",
"version": "v2"
}
] | 2022-06-30 | [
[
"Leichter",
"Marilena",
""
],
[
"Moseley",
"Benjamin",
""
],
[
"Pruhs",
"Kirk",
""
]
] | We show that there exist $k$-colorable matroids that are not $(b,c)$-decomposable when $b$ and $c$ are constants. A matroid is $(b,c)$-decomposable, if its ground set of elements can be partitioned into sets $X_1, X_2, \ldots, X_l$ with the following two properties. Each set $X_i$ has size at most $ck$. Moreover, for a... |
2312.10418 | Lyudong Jin | Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang | Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge
Computing | null | null | null | null | cs.LG cs.NI eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Mobile edge computing (MEC) is a promising paradigm for real-time
applications with intensive computational needs (e.g., autonomous driving), as
it can reduce the processing delay. In this work, we focus on the timeliness of
computational-intensive updates, measured by Age-ofInformation (AoI), and study
how to jointl... | [
{
"created": "Sat, 16 Dec 2023 11:13:40 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Dec 2023 13:11:49 GMT",
"version": "v2"
}
] | 2023-12-20 | [
[
"Jin",
"Lyudong",
""
],
[
"Tang",
"Ming",
""
],
[
"Zhang",
"Meng",
""
],
[
"Wang",
"Hao",
""
]
] | Mobile edge computing (MEC) is a promising paradigm for real-time applications with intensive computational needs (e.g., autonomous driving), as it can reduce the processing delay. In this work, we focus on the timeliness of computational-intensive updates, measured by Age-ofInformation (AoI), and study how to jointly ... |
2406.15282 | Aadityan Ganesh | Matheus V. X. Ferreira, Aadityan Ganesh, Jack Hourigan, Hannah Huh, S.
Matthew Weinberg, Catherine Yu | Computing Optimal Manipulations in Cryptographic Self-Selection
Proof-of-Stake Protocols | Appeared in the 25th ACM Conference on Economics and Computation (EC
'24) | null | 10.1145/3670865.3673602 | null | cs.GT cs.CR econ.TH | http://creativecommons.org/licenses/by/4.0/ | Cryptographic Self-Selection is a paradigm employed by modern Proof-of-Stake
consensus protocols to select a block-proposing "leader." Algorand [Chen and
Micali, 2019] proposes a canonical protocol, and Ferreira et al. [2022]
establish bounds $f(\alpha,\beta)$ on the maximum fraction of rounds a
strategic player can ... | [
{
"created": "Fri, 21 Jun 2024 16:20:39 GMT",
"version": "v1"
}
] | 2024-06-24 | [
[
"Ferreira",
"Matheus V. X.",
""
],
[
"Ganesh",
"Aadityan",
""
],
[
"Hourigan",
"Jack",
""
],
[
"Huh",
"Hannah",
""
],
[
"Weinberg",
"S. Matthew",
""
],
[
"Yu",
"Catherine",
""
]
] | Cryptographic Self-Selection is a paradigm employed by modern Proof-of-Stake consensus protocols to select a block-proposing "leader." Algorand [Chen and Micali, 2019] proposes a canonical protocol, and Ferreira et al. [2022] establish bounds $f(\alpha,\beta)$ on the maximum fraction of rounds a strategic player can le... |
1207.1534 | Gol Kim | Gol Kim, Yunchol Jong, Sifeng Liu | Generalized Hybrid Grey Relation Method for Multiple Attribute Mixed
Type Decision Making | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The multiple attribute mixed type decision making is performed by four
methods, that is, the relative approach degree of grey TOPSIS method, the
relative approach degree of grey incidence, the relative membership degree of
grey incidence and the grey relation relative approach degree method using the
maximum entropy ... | [
{
"created": "Fri, 6 Jul 2012 06:44:08 GMT",
"version": "v1"
}
] | 2012-07-12 | [
[
"Kim",
"Gol",
""
],
[
"Jong",
"Yunchol",
""
],
[
"Liu",
"Sifeng",
""
]
] | The multiple attribute mixed type decision making is performed by four methods, that is, the relative approach degree of grey TOPSIS method, the relative approach degree of grey incidence, the relative membership degree of grey incidence and the grey relation relative approach degree method using the maximum entropy es... |
2010.14580 | Joao Ramos | Joao Ramos, Yanran Ding, Young-woo Sim, Kevin Murphy, and Daniel Block | HOPPY: An open-source and low-cost kit for dynamic robotics education | null | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This letter introduces HOPPY, an open-source, low-cost, robust, and modular
kit for robotics education. The robot dynamically hops around a rotating gantry
with a fixed base. The kit lowers the entry barrier for studying dynamic robots
and legged locomotion in real systems. The kit bridges the theoretical content
of ... | [
{
"created": "Tue, 27 Oct 2020 19:43:45 GMT",
"version": "v1"
}
] | 2020-10-29 | [
[
"Ramos",
"Joao",
""
],
[
"Ding",
"Yanran",
""
],
[
"Sim",
"Young-woo",
""
],
[
"Murphy",
"Kevin",
""
],
[
"Block",
"Daniel",
""
]
] | This letter introduces HOPPY, an open-source, low-cost, robust, and modular kit for robotics education. The robot dynamically hops around a rotating gantry with a fixed base. The kit lowers the entry barrier for studying dynamic robots and legged locomotion in real systems. The kit bridges the theoretical content of fu... |
1506.07097 | Andrej Gajduk | Andrej Gajduk, Vladimir Zdraveski, Lasko Basnarkov, Mirko Todorovski,
Ljupco Kocarev | A Strategy for Power System Stability Improvement via Controlled
Charge/Discharge of Plug-in Electric Vehicles | 18 pages, 7 figures, subbmited for review in Elsevier's International
Journal of Electrical Power & Energy Systems | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Plug-in electrical vehicles (PEV) are capable of both grid-to-vehicle (G2V)
and vehicle-to-grid (V2G) power transfer. The advantages of developing V2G
include an additional revenue stream for cleaner vehicles, increased stability
and reliability of the electric grid, lower electric system costs, and
eventually, inexp... | [
{
"created": "Mon, 22 Jun 2015 13:09:24 GMT",
"version": "v1"
}
] | 2015-06-24 | [
[
"Gajduk",
"Andrej",
""
],
[
"Zdraveski",
"Vladimir",
""
],
[
"Basnarkov",
"Lasko",
""
],
[
"Todorovski",
"Mirko",
""
],
[
"Kocarev",
"Ljupco",
""
]
] | Plug-in electrical vehicles (PEV) are capable of both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) power transfer. The advantages of developing V2G include an additional revenue stream for cleaner vehicles, increased stability and reliability of the electric grid, lower electric system costs, and eventually, inexpen... |
1611.00260 | Vanessa Volz M.Sc. | Vanessa Volz, G\"unter Rudolph, Boris Naujoks | Surrogate-Assisted Partial Order-based Evolutionary Optimisation | null | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose a novel approach (SAPEO) to support the survival
selection process in multi-objective evolutionary algorithms with surrogate
models - it dynamically chooses individuals to evaluate exactly based on the
model uncertainty and the distinctness of the population. We introduce variants
that diffe... | [
{
"created": "Tue, 1 Nov 2016 15:00:52 GMT",
"version": "v1"
}
] | 2016-11-02 | [
[
"Volz",
"Vanessa",
""
],
[
"Rudolph",
"Günter",
""
],
[
"Naujoks",
"Boris",
""
]
] | In this paper, we propose a novel approach (SAPEO) to support the survival selection process in multi-objective evolutionary algorithms with surrogate models - it dynamically chooses individuals to evaluate exactly based on the model uncertainty and the distinctness of the population. We introduce variants that differ ... |
2210.03580 | Lei Wang | Lei Wang, Rong Tong, Cheung Chi Leung, Sunil Sivadas, Chongjia Ni, Bin
Ma | Cloud-based Automatic Speech Recognition Systems for Southeast Asian
Languages | Published by the 2017 IEEE International Conference on Orange
Technologies (ICOT 2017) | null | 10.1109/ICOT.2017.8336109 | null | cs.CL eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper provides an overall introduction of our Automatic Speech
Recognition (ASR) systems for Southeast Asian languages. As not much existing
work has been carried out on such regional languages, a few difficulties should
be addressed before building the systems: limitation on speech and text
resources, lack of l... | [
{
"created": "Fri, 7 Oct 2022 14:28:40 GMT",
"version": "v1"
}
] | 2022-10-10 | [
[
"Wang",
"Lei",
""
],
[
"Tong",
"Rong",
""
],
[
"Leung",
"Cheung Chi",
""
],
[
"Sivadas",
"Sunil",
""
],
[
"Ni",
"Chongjia",
""
],
[
"Ma",
"Bin",
""
]
] | This paper provides an overall introduction of our Automatic Speech Recognition (ASR) systems for Southeast Asian languages. As not much existing work has been carried out on such regional languages, a few difficulties should be addressed before building the systems: limitation on speech and text resources, lack of lin... |
2203.16414 | Simon Dahan | Simon Dahan, Abdulah Fawaz, Logan Z. J. Williams, Chunhui Yang,
Timothy S. Coalson, Matthew F. Glasser, A. David Edwards, Daniel Rueckert,
Emma C. Robinson | Surface Vision Transformers: Attention-Based Modelling applied to
Cortical Analysis | 22 pages, 6 figures, Accepted to MIDL 2022, OpenReview link
https://openreview.net/forum?id=mpp843Bsf- | Proceedings of Machine Learning Research. 172 (2022) 282-303 | null | null | cs.CV eess.IV q-bio.NC | http://creativecommons.org/licenses/by/4.0/ | The extension of convolutional neural networks (CNNs) to non-Euclidean
geometries has led to multiple frameworks for studying manifolds. Many of those
methods have shown design limitations resulting in poor modelling of long-range
associations, as the generalisation of convolutions to irregular surfaces is
non-trivia... | [
{
"created": "Wed, 30 Mar 2022 15:56:11 GMT",
"version": "v1"
}
] | 2024-06-06 | [
[
"Dahan",
"Simon",
""
],
[
"Fawaz",
"Abdulah",
""
],
[
"Williams",
"Logan Z. J.",
""
],
[
"Yang",
"Chunhui",
""
],
[
"Coalson",
"Timothy S.",
""
],
[
"Glasser",
"Matthew F.",
""
],
[
"Edwards",
"A. David",
"... | The extension of convolutional neural networks (CNNs) to non-Euclidean geometries has led to multiple frameworks for studying manifolds. Many of those methods have shown design limitations resulting in poor modelling of long-range associations, as the generalisation of convolutions to irregular surfaces is non-trivial.... |
1810.10180 | Luke Metz | Luke Metz, Niru Maheswaranathan, Jeremy Nixon, C. Daniel Freeman,
Jascha Sohl-Dickstein | Understanding and correcting pathologies in the training of learned
optimizers | null | null | null | null | cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning has shown that learned functions can dramatically outperform
hand-designed functions on perceptual tasks. Analogously, this suggests that
learned optimizers may similarly outperform current hand-designed optimizers,
especially for specific problems. However, learned optimizers are notoriously
difficult ... | [
{
"created": "Wed, 24 Oct 2018 04:04:25 GMT",
"version": "v1"
},
{
"created": "Fri, 26 Oct 2018 17:41:54 GMT",
"version": "v2"
},
{
"created": "Thu, 28 Feb 2019 00:12:30 GMT",
"version": "v3"
},
{
"created": "Wed, 3 Apr 2019 23:14:02 GMT",
"version": "v4"
},
{
"cr... | 2019-06-11 | [
[
"Metz",
"Luke",
""
],
[
"Maheswaranathan",
"Niru",
""
],
[
"Nixon",
"Jeremy",
""
],
[
"Freeman",
"C. Daniel",
""
],
[
"Sohl-Dickstein",
"Jascha",
""
]
] | Deep learning has shown that learned functions can dramatically outperform hand-designed functions on perceptual tasks. Analogously, this suggests that learned optimizers may similarly outperform current hand-designed optimizers, especially for specific problems. However, learned optimizers are notoriously difficult to... |
2302.09973 | Simon Kirchgasser | Simon Kirchgasser, Christof Kauba, Georg Wimmer and Andreas Uhl | Advanced Image Quality Assessment for Hand- and Fingervein Biometrics | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Natural Scene Statistics commonly used in non-reference image quality
measures and a deep learning based quality assessment approach are proposed as
biometric quality indicators for vasculature images. While NIQE and BRISQUE if
trained on common images with usual distortions do not work well for assessing
vasculature... | [
{
"created": "Mon, 20 Feb 2023 13:35:28 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Feb 2023 10:55:57 GMT",
"version": "v2"
}
] | 2023-02-22 | [
[
"Kirchgasser",
"Simon",
""
],
[
"Kauba",
"Christof",
""
],
[
"Wimmer",
"Georg",
""
],
[
"Uhl",
"Andreas",
""
]
] | Natural Scene Statistics commonly used in non-reference image quality measures and a deep learning based quality assessment approach are proposed as biometric quality indicators for vasculature images. While NIQE and BRISQUE if trained on common images with usual distortions do not work well for assessing vasculature p... |
2006.11337 | Tianlang Chen | Tianlang Chen, Wei Xiong, Haitian Zheng, Jiebo Luo | Image Sentiment Transfer | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we introduce an important but still unexplored research task --
image sentiment transfer. Compared with other related tasks that have been
well-studied, such as image-to-image translation and image style transfer,
transferring the sentiment of an image is more challenging. Given an input
image, the rule... | [
{
"created": "Fri, 19 Jun 2020 19:28:08 GMT",
"version": "v1"
}
] | 2020-06-23 | [
[
"Chen",
"Tianlang",
""
],
[
"Xiong",
"Wei",
""
],
[
"Zheng",
"Haitian",
""
],
[
"Luo",
"Jiebo",
""
]
] | In this work, we introduce an important but still unexplored research task -- image sentiment transfer. Compared with other related tasks that have been well-studied, such as image-to-image translation and image style transfer, transferring the sentiment of an image is more challenging. Given an input image, the rule t... |
2402.01201 | Wenhao Jiang | Wenhao Jiang, Duo Li, Menghan Hu, Guangtao Zhai, Xiaokang Yang,
Xiao-Ping Zhang | Few-Shot Class-Incremental Learning with Prior Knowledge | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To tackle the issues of catastrophic forgetting and overfitting in few-shot
class-incremental learning (FSCIL), previous work has primarily concentrated on
preserving the memory of old knowledge during the incremental phase. The role
of pre-trained model in shaping the effectiveness of incremental learning is
frequen... | [
{
"created": "Fri, 2 Feb 2024 08:05:35 GMT",
"version": "v1"
}
] | 2024-02-05 | [
[
"Jiang",
"Wenhao",
""
],
[
"Li",
"Duo",
""
],
[
"Hu",
"Menghan",
""
],
[
"Zhai",
"Guangtao",
""
],
[
"Yang",
"Xiaokang",
""
],
[
"Zhang",
"Xiao-Ping",
""
]
] | To tackle the issues of catastrophic forgetting and overfitting in few-shot class-incremental learning (FSCIL), previous work has primarily concentrated on preserving the memory of old knowledge during the incremental phase. The role of pre-trained model in shaping the effectiveness of incremental learning is frequentl... |
2206.12733 | Christos Koutras | Christos Koutras, Rihan Hai, Kyriakos Psarakis, Marios Fragkoulis,
Asterios Katsifodimos | SiMa: Effective and Efficient Matching Across Data Silos Using Graph
Neural Networks | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | How can we leverage existing column relationships within silos, to predict
similar ones across silos? Can we do this efficiently and effectively? Existing
matching approaches do not exploit prior knowledge, relying on prohibitively
expensive similarity computations. In this paper we present the first technique
for ma... | [
{
"created": "Sat, 25 Jun 2022 21:18:08 GMT",
"version": "v1"
},
{
"created": "Sun, 3 Mar 2024 07:27:07 GMT",
"version": "v2"
}
] | 2024-03-05 | [
[
"Koutras",
"Christos",
""
],
[
"Hai",
"Rihan",
""
],
[
"Psarakis",
"Kyriakos",
""
],
[
"Fragkoulis",
"Marios",
""
],
[
"Katsifodimos",
"Asterios",
""
]
] | How can we leverage existing column relationships within silos, to predict similar ones across silos? Can we do this efficiently and effectively? Existing matching approaches do not exploit prior knowledge, relying on prohibitively expensive similarity computations. In this paper we present the first technique for matc... |
2406.15613 | Parikshit Solunke | Parikshit Solunke, Vitoria Guardieiro, Joao Rulff, Peter Xenopoulos,
Gromit Yeuk-Yin Chan, Brian Barr, Luis Gustavo Nonato, Claudio Silva | MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local
Explanations | Author version of article accepted to IEEE Transactions on
Visualization and Computer Graphics | null | null | null | cs.LG cs.GR math.AT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the increasing use of black-box Machine Learning (ML) techniques in
critical applications, there is a growing demand for methods that can provide
transparency and accountability for model predictions. As a result, a large
number of local explainability methods for black-box models have been developed
and popular... | [
{
"created": "Fri, 21 Jun 2024 19:28:50 GMT",
"version": "v1"
}
] | 2024-06-25 | [
[
"Solunke",
"Parikshit",
""
],
[
"Guardieiro",
"Vitoria",
""
],
[
"Rulff",
"Joao",
""
],
[
"Xenopoulos",
"Peter",
""
],
[
"Chan",
"Gromit Yeuk-Yin",
""
],
[
"Barr",
"Brian",
""
],
[
"Nonato",
"Luis Gustavo",
... | With the increasing use of black-box Machine Learning (ML) techniques in critical applications, there is a growing demand for methods that can provide transparency and accountability for model predictions. As a result, a large number of local explainability methods for black-box models have been developed and populariz... |
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