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1104.0824
Deepesh Ranka
Deepesh Ranka, Ashwani K. Rana, Rakesh Kumar Yadav, Kamalesh Yadav, Devendra Giri
Performance evaluation of FD-SOI Mosfets for different metal gate work function
14 pages,12 figures,International Journal of VLSI design & Communication Systems (VLSICS) Vol.2, No.1, March 2011
International Journal of VLSI design & Communication Systems (VLSICS) Vol.2, No.1, March 2011
null
null
cs.OH
http://creativecommons.org/licenses/by/3.0/
Fully depleted (FD) Silicon on Insulator (SOI) metal oxide Field Effect Transistor (MOSFET) Is the Leading Contender for Sun 65nm Regime. This paper presents a study of effects of work functions of metal gate on the performance of FD-SOI MOSFET. Sentaurus TCAD simulation tool is used to investigate the effect of work...
[ { "created": "Mon, 4 Apr 2011 07:09:22 GMT", "version": "v1" } ]
2011-04-06
[ [ "Ranka", "Deepesh", "" ], [ "Rana", "Ashwani K.", "" ], [ "Yadav", "Rakesh Kumar", "" ], [ "Yadav", "Kamalesh", "" ], [ "Giri", "Devendra", "" ] ]
Fully depleted (FD) Silicon on Insulator (SOI) metal oxide Field Effect Transistor (MOSFET) Is the Leading Contender for Sun 65nm Regime. This paper presents a study of effects of work functions of metal gate on the performance of FD-SOI MOSFET. Sentaurus TCAD simulation tool is used to investigate the effect of work f...
2112.11689
Yuhang Wu
Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
Accepted by AAAI2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, many approaches tackle the Unsupervised Domain Adaptive person re-identification (UDA re-ID) problem through pseudo-label-based contrastive learning. During training, a uni-centroid representation is obtained by simply averaging all the instance features from a cluster with the same pseudo label. However, a...
[ { "created": "Wed, 22 Dec 2021 06:40:21 GMT", "version": "v1" } ]
2021-12-23
[ [ "Wu", "Yuhang", "" ], [ "Huang", "Tengteng", "" ], [ "Yao", "Haotian", "" ], [ "Zhang", "Chi", "" ], [ "Shao", "Yuanjie", "" ], [ "Han", "Chuchu", "" ], [ "Gao", "Changxin", "" ], [ "Sang", "Non...
Recently, many approaches tackle the Unsupervised Domain Adaptive person re-identification (UDA re-ID) problem through pseudo-label-based contrastive learning. During training, a uni-centroid representation is obtained by simply averaging all the instance features from a cluster with the same pseudo label. However, a c...
2210.07991
Shimian Zhang
Shimian Zhang, Skanda Bharadwaj, Keaton Kraiger, Yashasvi Asthana, Hong Zhang, Robert Collins, Yanxi Liu
Novel 3D Scene Understanding Applications From Recurrence in a Single Image
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We demonstrate the utility of recurring pattern discovery from a single image for spatial understanding of a 3D scene in terms of (1) vanishing point detection, (2) hypothesizing 3D translation symmetry and (3) counting the number of RP instances in the image. Furthermore, we illustrate the feasibility of leveragin...
[ { "created": "Fri, 14 Oct 2022 17:45:05 GMT", "version": "v1" } ]
2022-10-17
[ [ "Zhang", "Shimian", "" ], [ "Bharadwaj", "Skanda", "" ], [ "Kraiger", "Keaton", "" ], [ "Asthana", "Yashasvi", "" ], [ "Zhang", "Hong", "" ], [ "Collins", "Robert", "" ], [ "Liu", "Yanxi", "" ] ]
We demonstrate the utility of recurring pattern discovery from a single image for spatial understanding of a 3D scene in terms of (1) vanishing point detection, (2) hypothesizing 3D translation symmetry and (3) counting the number of RP instances in the image. Furthermore, we illustrate the feasibility of leveraging RP...
1609.07370
Yi Ren
Yi Ren, Yaniv Romano, Michael Elad
Example-Based Image Synthesis via Randomized Patch-Matching
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image and texture synthesis is a challenging task that has long been drawing attention in the fields of image processing, graphics, and machine learning. This problem consists of modelling the desired type of images, either through training examples or via a parametric modeling, and then generating images that belong...
[ { "created": "Fri, 23 Sep 2016 14:08:30 GMT", "version": "v1" } ]
2016-09-26
[ [ "Ren", "Yi", "" ], [ "Romano", "Yaniv", "" ], [ "Elad", "Michael", "" ] ]
Image and texture synthesis is a challenging task that has long been drawing attention in the fields of image processing, graphics, and machine learning. This problem consists of modelling the desired type of images, either through training examples or via a parametric modeling, and then generating images that belong t...
1602.02899
F. Ozgur Catak
Ferhat \"Ozg\"ur \c{C}atak
Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data
22nd International Conference, ICONIP 2015
null
10.1007/978-3-319-26535-3_39
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Especially in the Big Data era, the usage of different classification methods is increasing day by day. The success of these classification methods depends on the effectiveness of learning methods. Extreme learning machine (ELM) classification algorithm is a relatively new learning method built on feed-forward neural...
[ { "created": "Tue, 9 Feb 2016 08:37:26 GMT", "version": "v1" } ]
2016-02-10
[ [ "Çatak", "Ferhat Özgür", "" ] ]
Especially in the Big Data era, the usage of different classification methods is increasing day by day. The success of these classification methods depends on the effectiveness of learning methods. Extreme learning machine (ELM) classification algorithm is a relatively new learning method built on feed-forward neural-n...
1505.05502
Ricardo Gon\c{c}alves
Ricardo Gon\c{c}alves and Matthias Knorr and Jo\~ao Leite
Towards Efficient Evolving Multi-Context Systems (Preliminary Report)
International Workshop on Reactive Concepts in Knowledge Representation (ReactKnow 2014), co-located with the 21st European Conference on Artificial Intelligence (ECAI 2014). Proceedings of the International Workshop on Reactive Concepts in Knowledge Representation (ReactKnow 2014), pages 39-45, technical repor...
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Managed Multi-Context Systems (mMCSs) provide a general framework for integrating knowledge represented in heterogeneous KR formalisms. Recently, evolving Multi-Context Systems (eMCSs) have been introduced as an extension of mMCSs that add the ability to both react to, and reason in the presence of commonly temporary...
[ { "created": "Wed, 20 May 2015 13:33:52 GMT", "version": "v1" } ]
2015-05-22
[ [ "Gonçalves", "Ricardo", "" ], [ "Knorr", "Matthias", "" ], [ "Leite", "João", "" ] ]
Managed Multi-Context Systems (mMCSs) provide a general framework for integrating knowledge represented in heterogeneous KR formalisms. Recently, evolving Multi-Context Systems (eMCSs) have been introduced as an extension of mMCSs that add the ability to both react to, and reason in the presence of commonly temporary d...
1901.01062
Xueliang Li
Xueliang Li, Yuming Yang, Yepang liu, John P. Gallagher, Kaishun Wu
Detecting and Diagnosing Energy Issues for Mobile Applications
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Energy efficiency is an important criterion to judge the quality of mobile apps, but one third of our randomly sampled apps suffer from energy issues that can quickly drain battery power. To understand these issues, we conducted an empirical study on 27 well-maintained apps such as Chrome and Firefox, whose issue tra...
[ { "created": "Fri, 4 Jan 2019 11:43:55 GMT", "version": "v1" }, { "created": "Fri, 22 Mar 2019 11:47:45 GMT", "version": "v2" } ]
2019-04-02
[ [ "Li", "Xueliang", "" ], [ "Yang", "Yuming", "" ], [ "liu", "Yepang", "" ], [ "Gallagher", "John P.", "" ], [ "Wu", "Kaishun", "" ] ]
Energy efficiency is an important criterion to judge the quality of mobile apps, but one third of our randomly sampled apps suffer from energy issues that can quickly drain battery power. To understand these issues, we conducted an empirical study on 27 well-maintained apps such as Chrome and Firefox, whose issue track...
2401.06204
Qilei Zhang
Qilei Zhang and John H. Mott
An Exploratory Assessment of LLM's Potential Toward Flight Trajectory Reconstruction Analysis
6 pages
null
null
null
cs.LG cs.AI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large Language Models (LLMs) hold transformative potential in aviation, particularly in reconstructing flight trajectories. This paper investigates this potential, grounded in the notion that LLMs excel at processing sequential data and deciphering complex data structures. Utilizing the LLaMA 2 model, a pre-trained o...
[ { "created": "Thu, 11 Jan 2024 17:59:18 GMT", "version": "v1" } ]
2024-01-15
[ [ "Zhang", "Qilei", "" ], [ "Mott", "John H.", "" ] ]
Large Language Models (LLMs) hold transformative potential in aviation, particularly in reconstructing flight trajectories. This paper investigates this potential, grounded in the notion that LLMs excel at processing sequential data and deciphering complex data structures. Utilizing the LLaMA 2 model, a pre-trained ope...
2106.12700
Cheng Jie
Cheng Jie, Da Xu, Zigeng Wang, Lu Wang, Wei Shen
An Efficient Group-based Search Engine Marketing System for E-Commerce
null
null
null
null
cs.CL
http://creativecommons.org/publicdomain/zero/1.0/
With the increasing scale of search engine marketing, designing an efficient bidding system is becoming paramount for the success of e-commerce companies. The critical challenges faced by a modern industrial-level bidding system include: 1. the catalog is enormous, and the relevant bidding features are of high sparsi...
[ { "created": "Thu, 24 Jun 2021 00:12:07 GMT", "version": "v1" }, { "created": "Fri, 25 Jun 2021 01:27:47 GMT", "version": "v2" }, { "created": "Sat, 17 Jul 2021 22:39:56 GMT", "version": "v3" }, { "created": "Fri, 6 Aug 2021 05:04:34 GMT", "version": "v4" } ]
2021-08-09
[ [ "Jie", "Cheng", "" ], [ "Xu", "Da", "" ], [ "Wang", "Zigeng", "" ], [ "Wang", "Lu", "" ], [ "Shen", "Wei", "" ] ]
With the increasing scale of search engine marketing, designing an efficient bidding system is becoming paramount for the success of e-commerce companies. The critical challenges faced by a modern industrial-level bidding system include: 1. the catalog is enormous, and the relevant bidding features are of high sparsity...
1003.5787
Niharjyoti Sarangi
Rakesh Mohanty, Niharjyoti Sarangi, Sukant kumar Bishi
A secured Cryptographic Hashing Algorithm
4 pages,2 figures, 1 tabular data set
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cryptographic hash functions for calculating the message digest of a message has been in practical use as an effective measure to maintain message integrity since a few decades. This message digest is unique, irreversible and avoids all types of collisions for any given input string. The message digest calculated fro...
[ { "created": "Tue, 30 Mar 2010 10:43:48 GMT", "version": "v1" } ]
2010-03-31
[ [ "Mohanty", "Rakesh", "" ], [ "Sarangi", "Niharjyoti", "" ], [ "Bishi", "Sukant kumar", "" ] ]
Cryptographic hash functions for calculating the message digest of a message has been in practical use as an effective measure to maintain message integrity since a few decades. This message digest is unique, irreversible and avoids all types of collisions for any given input string. The message digest calculated from ...
1307.1024
Abdelhakim Herrouz
Abdelhakim Herrouz, Chabane Khentout and Mahieddine Djoudi
Overview of Web Content Mining Tools
06 pages
The International Journal of Engineering And Science (IJES), Vol.2, Issue 6, June 2013, pp. 106-110, 2013
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, the Web has become one of the most widespread platforms for information change and retrieval. As it becomes easier to publish documents, as the number of users, and thus publishers, increases and as the number of documents grows, searching for information is turning into a cumbersome and time-consuming oper...
[ { "created": "Tue, 2 Jul 2013 19:57:29 GMT", "version": "v1" } ]
2013-07-04
[ [ "Herrouz", "Abdelhakim", "" ], [ "Khentout", "Chabane", "" ], [ "Djoudi", "Mahieddine", "" ] ]
Nowadays, the Web has become one of the most widespread platforms for information change and retrieval. As it becomes easier to publish documents, as the number of users, and thus publishers, increases and as the number of documents grows, searching for information is turning into a cumbersome and time-consuming operat...
2211.14552
Jilan Xu
Junlin Hou, Jilan Xu, Fan Xiao, Rui-Wei Zhao, Yuejie Zhang, Haidong Zou, Lina Lu, Wenwen Xue, Rui Feng
Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images
BIBM 2022
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Automatic diabetic retinopathy (DR) grading based on fundus photography has been widely explored to benefit the routine screening and early treatment. Existing researches generally focus on single-field fundus images, which have limited field of view for precise eye examinations. In clinical applications, ophthalmolo...
[ { "created": "Sat, 26 Nov 2022 12:39:57 GMT", "version": "v1" }, { "created": "Thu, 1 Dec 2022 08:10:27 GMT", "version": "v2" } ]
2022-12-02
[ [ "Hou", "Junlin", "" ], [ "Xu", "Jilan", "" ], [ "Xiao", "Fan", "" ], [ "Zhao", "Rui-Wei", "" ], [ "Zhang", "Yuejie", "" ], [ "Zou", "Haidong", "" ], [ "Lu", "Lina", "" ], [ "Xue", "Wenwen", ...
Automatic diabetic retinopathy (DR) grading based on fundus photography has been widely explored to benefit the routine screening and early treatment. Existing researches generally focus on single-field fundus images, which have limited field of view for precise eye examinations. In clinical applications, ophthalmologi...
1501.02573
Robert Koenighofer
Roderick Bloem and Bettina Koenighofer and Robert Koenighofer and Chao Wang
Shield Synthesis: Runtime Enforcement for Reactive Systems
This is an extended version of [5], featuring an additional appendix
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scalability issues may prevent users from verifying critical properties of a complex hardware design. In this situation, we propose to synthesize a "safety shield" that is attached to the design to enforce the properties at run time. Shield synthesis can succeed where model checking and reactive synthesis fail, becau...
[ { "created": "Mon, 12 Jan 2015 09:04:57 GMT", "version": "v1" }, { "created": "Fri, 16 Jan 2015 15:58:47 GMT", "version": "v2" } ]
2015-01-19
[ [ "Bloem", "Roderick", "" ], [ "Koenighofer", "Bettina", "" ], [ "Koenighofer", "Robert", "" ], [ "Wang", "Chao", "" ] ]
Scalability issues may prevent users from verifying critical properties of a complex hardware design. In this situation, we propose to synthesize a "safety shield" that is attached to the design to enforce the properties at run time. Shield synthesis can succeed where model checking and reactive synthesis fail, because...
1708.00129
Andy Kitchen
Andy Kitchen, Jarrel Seah
Deep Generative Adversarial Neural Networks for Realistic Prostate Lesion MRI Synthesis
8 pages, 5 figures, 2 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative Adversarial Neural Networks (GANs) are applied to the synthetic generation of prostate lesion MRI images. GANs have been applied to a variety of natural images, is shown show that the same techniques can be used in the medical domain to create realistic looking synthetic lesion images. 16mm x 16mm patches ...
[ { "created": "Tue, 1 Aug 2017 02:09:12 GMT", "version": "v1" } ]
2017-08-02
[ [ "Kitchen", "Andy", "" ], [ "Seah", "Jarrel", "" ] ]
Generative Adversarial Neural Networks (GANs) are applied to the synthetic generation of prostate lesion MRI images. GANs have been applied to a variety of natural images, is shown show that the same techniques can be used in the medical domain to create realistic looking synthetic lesion images. 16mm x 16mm patches ar...
cs/0509063
Krzysztof R. Apt
Krzysztof R. Apt
Order Independence and Rationalizability
Appeared in: Proc. of the 10th conference on Theoretical Aspects of Rationality and Knowledge (TARK X), pp. 22-38 (2005)
null
null
null
cs.GT
null
Two natural strategy elimination procedures have been studied for strategic games. The first one involves the notion of (strict, weak, etc) dominance and the second the notion of rationalizability. In the case of dominance the criterion of order independence allowed us to clarify which notions and under what circumst...
[ { "created": "Tue, 20 Sep 2005 08:27:26 GMT", "version": "v1" } ]
2007-05-23
[ [ "Apt", "Krzysztof R.", "" ] ]
Two natural strategy elimination procedures have been studied for strategic games. The first one involves the notion of (strict, weak, etc) dominance and the second the notion of rationalizability. In the case of dominance the criterion of order independence allowed us to clarify which notions and under what circumstan...
2210.14210
Sudharshan Suresh
Sudharshan Suresh, Zilin Si, Stuart Anderson, Michael Kaess, Mustafa Mukadam
MidasTouch: Monte-Carlo inference over distributions across sliding touch
Accepted at CoRL 2022 (Oral). Project website: https://suddhu.github.io/midastouch-tactile/
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present MidasTouch, a tactile perception system for online global localization of a vision-based touch sensor sliding on an object surface. This framework takes in posed tactile images over time, and outputs an evolving distribution of sensor pose on the object's surface, without the need for visual priors. Our ke...
[ { "created": "Tue, 25 Oct 2022 17:55:09 GMT", "version": "v1" } ]
2022-10-26
[ [ "Suresh", "Sudharshan", "" ], [ "Si", "Zilin", "" ], [ "Anderson", "Stuart", "" ], [ "Kaess", "Michael", "" ], [ "Mukadam", "Mustafa", "" ] ]
We present MidasTouch, a tactile perception system for online global localization of a vision-based touch sensor sliding on an object surface. This framework takes in posed tactile images over time, and outputs an evolving distribution of sensor pose on the object's surface, without the need for visual priors. Our key ...
2112.05598
Sverker Rasmuson
Sverker Rasmuson, Erik Sintorn, Ulf Assarsson
PERF: Performant, Explicit Radiance Fields
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel way of approaching image-based 3D reconstruction based on radiance fields. The problem of volumetric reconstruction is formulated as a non-linear least-squares problem and solved explicitly without the use of neural networks. This enables the use of solvers with a higher rate of convergence than wh...
[ { "created": "Fri, 10 Dec 2021 15:29:00 GMT", "version": "v1" } ]
2021-12-13
[ [ "Rasmuson", "Sverker", "" ], [ "Sintorn", "Erik", "" ], [ "Assarsson", "Ulf", "" ] ]
We present a novel way of approaching image-based 3D reconstruction based on radiance fields. The problem of volumetric reconstruction is formulated as a non-linear least-squares problem and solved explicitly without the use of neural networks. This enables the use of solvers with a higher rate of convergence than what...
1509.07040
Yuheng Bu
Yuheng Bu, Shaofeng Zou, Yingbin Liang and Venugopal V. Veeravalli
Universal Outlying sequence detection For Continuous Observations
null
null
null
null
cs.IT math.IT math.ST stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The following detection problem is studied, in which there are $M$ sequences of samples out of which one outlier sequence needs to be detected. Each typical sequence contains $n$ independent and identically distributed (i.i.d.) continuous observations from a known distribution $\pi$, and the outlier sequence contains...
[ { "created": "Wed, 23 Sep 2015 15:56:59 GMT", "version": "v1" }, { "created": "Wed, 7 Oct 2015 19:02:48 GMT", "version": "v2" } ]
2015-10-08
[ [ "Bu", "Yuheng", "" ], [ "Zou", "Shaofeng", "" ], [ "Liang", "Yingbin", "" ], [ "Veeravalli", "Venugopal V.", "" ] ]
The following detection problem is studied, in which there are $M$ sequences of samples out of which one outlier sequence needs to be detected. Each typical sequence contains $n$ independent and identically distributed (i.i.d.) continuous observations from a known distribution $\pi$, and the outlier sequence contains $...
2102.13519
Stefan Bl\"ucher
Stefan Bl\"ucher, Johanna Vielhaben and Nils Strodthoff
PredDiff: Explanations and Interactions from Conditional Expectations
35 pages, 20 Figures, accepted journal version, code available at https://github.com/AI4HealthUOL/preddiff-interactions
Artificial Intelligence 312 (2022) 103774
10.1016/j.artint.2022.103774
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by-nc-nd/4.0/
PredDiff is a model-agnostic, local attribution method that is firmly rooted in probability theory. Its simple intuition is to measure prediction changes while marginalizing features. In this work, we clarify properties of PredDiff and its close connection to Shapley values. We stress important differences between cl...
[ { "created": "Fri, 26 Feb 2021 14:46:47 GMT", "version": "v1" }, { "created": "Mon, 26 Apr 2021 14:27:07 GMT", "version": "v2" }, { "created": "Wed, 20 Oct 2021 08:54:14 GMT", "version": "v3" }, { "created": "Thu, 8 Sep 2022 14:18:50 GMT", "version": "v4" } ]
2023-07-12
[ [ "Blücher", "Stefan", "" ], [ "Vielhaben", "Johanna", "" ], [ "Strodthoff", "Nils", "" ] ]
PredDiff is a model-agnostic, local attribution method that is firmly rooted in probability theory. Its simple intuition is to measure prediction changes while marginalizing features. In this work, we clarify properties of PredDiff and its close connection to Shapley values. We stress important differences between clas...
2310.06397
Kaiming Huang
Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger
Top of the Heap: Efficient Memory Error Protection for Many Heap Objects
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Exploits against heap memory errors continue to be a major concern. Although many defenses have been proposed, heap data are not protected from attacks that exploit memory errors systematically. Research defenses focus on complete coverage of heap objects, often giving up on comprehensive memory safety protection and...
[ { "created": "Tue, 10 Oct 2023 08:04:08 GMT", "version": "v1" } ]
2023-10-11
[ [ "Huang", "Kaiming", "" ], [ "Payer", "Mathias", "" ], [ "Qian", "Zhiyun", "" ], [ "Sampson", "Jack", "" ], [ "Tan", "Gang", "" ], [ "Jaeger", "Trent", "" ] ]
Exploits against heap memory errors continue to be a major concern. Although many defenses have been proposed, heap data are not protected from attacks that exploit memory errors systematically. Research defenses focus on complete coverage of heap objects, often giving up on comprehensive memory safety protection and/o...
2407.11033
Yuyan Chen
Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
Accepted to CIKM 2023 (Long Paper)
null
null
null
cs.LG cs.CL
http://creativecommons.org/licenses/by/4.0/
Recent years, Pre-trained Language models (PLMs) have swept into various fields of artificial intelligence and achieved great success. However, most PLMs, such as T5 and GPT3, have a huge amount of parameters, fine-tuning them is often expensive and time consuming, and storing them takes up a lot of space. Therefore,...
[ { "created": "Thu, 4 Jul 2024 18:21:28 GMT", "version": "v1" } ]
2024-07-17
[ [ "Chen", "Yuyan", "" ], [ "Fu", "Qiang", "" ], [ "Fan", "Ge", "" ], [ "Du", "Lun", "" ], [ "Lou", "Jian-Guang", "" ], [ "Han", "Shi", "" ], [ "Zhang", "Dongmei", "" ], [ "Li", "Zhixu", "" ]...
Recent years, Pre-trained Language models (PLMs) have swept into various fields of artificial intelligence and achieved great success. However, most PLMs, such as T5 and GPT3, have a huge amount of parameters, fine-tuning them is often expensive and time consuming, and storing them takes up a lot of space. Therefore, i...
1803.08069
Jaime Fentanes
Jaime Pulido Fentanes, Iain Gould, Tom Duckett, Simon Pearson and Grzegorz Cielniak
3D Soil Compaction Mapping through Kriging-based Exploration with a Mobile Robot
Submitted paper, to IEEE Robotics and Automation Letters (RA-L) special issue on Precision Agricultural Robotics and Autonomous Farming Technologies. Not reviewed
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an automated method for creating spatial maps of soil condition with an outdoor mobile robot. Effective soil mapping on farms can enhance yields, reduce inputs and help protect the environment. Traditionally, data are collected manually at an arbitrary set of locations, then soil maps are construc...
[ { "created": "Wed, 21 Mar 2018 18:05:13 GMT", "version": "v1" } ]
2018-03-23
[ [ "Fentanes", "Jaime Pulido", "" ], [ "Gould", "Iain", "" ], [ "Duckett", "Tom", "" ], [ "Pearson", "Simon", "" ], [ "Cielniak", "Grzegorz", "" ] ]
This paper presents an automated method for creating spatial maps of soil condition with an outdoor mobile robot. Effective soil mapping on farms can enhance yields, reduce inputs and help protect the environment. Traditionally, data are collected manually at an arbitrary set of locations, then soil maps are constructe...
1905.01591
Hoang Nguyen Thai
Hoang NT, Choong Jun Jin, Tsuyoshi Murata
Learning Graph Neural Networks with Noisy Labels
5 pages, 4 figures, 3 tables; Appeared as a poster presentation at Limited Labeled Data (LLD) Workshop, ICLR 2019
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the robustness to symmetric label noise of GNNs training procedures. By combining the nonlinear neural message-passing models (e.g. Graph Isomorphism Networks, GraphSAGE, etc.) with loss correction methods, we present a noise-tolerant approach for the graph classification task. Our experiments show that test...
[ { "created": "Sun, 5 May 2019 03:27:50 GMT", "version": "v1" } ]
2019-05-07
[ [ "NT", "Hoang", "" ], [ "Jin", "Choong Jun", "" ], [ "Murata", "Tsuyoshi", "" ] ]
We study the robustness to symmetric label noise of GNNs training procedures. By combining the nonlinear neural message-passing models (e.g. Graph Isomorphism Networks, GraphSAGE, etc.) with loss correction methods, we present a noise-tolerant approach for the graph classification task. Our experiments show that test a...
1904.04428
Hao Peng
Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan Dhingra, Dipanjan Das
Text Generation with Exemplar-based Adaptive Decoding
NAACL 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel conditioned text generation model. It draws inspiration from traditional template-based text generation techniques, where the source provides the content (i.e., what to say), and the template influences how to say it. Building on the successful encoder-decoder paradigm, it first encodes the content...
[ { "created": "Tue, 9 Apr 2019 02:34:30 GMT", "version": "v1" }, { "created": "Wed, 10 Apr 2019 22:03:53 GMT", "version": "v2" } ]
2019-04-12
[ [ "Peng", "Hao", "" ], [ "Parikh", "Ankur P.", "" ], [ "Faruqui", "Manaal", "" ], [ "Dhingra", "Bhuwan", "" ], [ "Das", "Dipanjan", "" ] ]
We propose a novel conditioned text generation model. It draws inspiration from traditional template-based text generation techniques, where the source provides the content (i.e., what to say), and the template influences how to say it. Building on the successful encoder-decoder paradigm, it first encodes the content r...
1411.7883
Luca Del Pero
Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari
Articulated motion discovery using pairs of trajectories
10 pages, 5 figures, 2 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an unsupervised approach for discovering characteristic motion patterns in videos of highly articulated objects performing natural, unscripted behaviors, such as tigers in the wild. We discover consistent patterns in a bottom-up manner by analyzing the relative displacements of large numbers of ordered tra...
[ { "created": "Fri, 28 Nov 2014 14:43:03 GMT", "version": "v1" }, { "created": "Tue, 16 Dec 2014 13:56:07 GMT", "version": "v2" }, { "created": "Fri, 24 Apr 2015 15:29:06 GMT", "version": "v3" } ]
2015-04-27
[ [ "Del Pero", "Luca", "" ], [ "Ricco", "Susanna", "" ], [ "Sukthankar", "Rahul", "" ], [ "Ferrari", "Vittorio", "" ] ]
We propose an unsupervised approach for discovering characteristic motion patterns in videos of highly articulated objects performing natural, unscripted behaviors, such as tigers in the wild. We discover consistent patterns in a bottom-up manner by analyzing the relative displacements of large numbers of ordered traje...
2303.14219
EPTCS
Clemens Grabmayer (GSSI)
Proceedings Twelfth International Workshop on Computing with Terms and Graphs
null
EPTCS 377, 2023
10.4204/EPTCS.377
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
The workshop TERMGRAPH 2022 took place at Technion in Haifa, Israel, on August 1, 2022, in the Pre-FLoC workshop block (July 31-August 1) of FLoC 2022 (Federated Logic Conference 2022, July 31-August 12). As such, TERMGRAPH 2022 was a one-day satellite event of the conference FSCD 2022 (Formal Structures of Computati...
[ { "created": "Fri, 24 Mar 2023 18:26:26 GMT", "version": "v1" }, { "created": "Sun, 2 Apr 2023 20:10:28 GMT", "version": "v2" } ]
2023-04-04
[ [ "Grabmayer", "Clemens", "", "GSSI" ] ]
The workshop TERMGRAPH 2022 took place at Technion in Haifa, Israel, on August 1, 2022, in the Pre-FLoC workshop block (July 31-August 1) of FLoC 2022 (Federated Logic Conference 2022, July 31-August 12). As such, TERMGRAPH 2022 was a one-day satellite event of the conference FSCD 2022 (Formal Structures of Computation...
1403.3034
Phillip James
Phillip James, Markus Roggenbach
Encapsulating Formal Methods within Domain Specific Languages: A Solution for Verifying Railway Scheme Plans
null
null
null
null
cs.SE cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The development and application of formal methods is a long standing research topic within the field of computer science. One particular challenge that remains is the uptake of formal methods into industrial practices. This paper introduces a methodology for developing domain specific languages for modelling and veri...
[ { "created": "Sun, 9 Mar 2014 21:42:56 GMT", "version": "v1" }, { "created": "Sun, 23 Mar 2014 15:20:51 GMT", "version": "v2" } ]
2014-03-25
[ [ "James", "Phillip", "" ], [ "Roggenbach", "Markus", "" ] ]
The development and application of formal methods is a long standing research topic within the field of computer science. One particular challenge that remains is the uptake of formal methods into industrial practices. This paper introduces a methodology for developing domain specific languages for modelling and verifi...
2010.12607
Ra\'ul Nozal
Ra\'ul Nozal, Jose Luis Bosque and Ramon Beivide
Towards Co-execution on Commodity Heterogeneous Systems: Optimizations for Time-Constrained Scenarios
8 pages, 6 figures, conference
2019 International Conference on High Performance Computing & Simulation (HPCS), pp. 628-635
10.1109/HPCS48598.2019.9188188
null
cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Heterogeneous systems are present from powerful supercomputers, to mobile devices, including desktop computers, thanks to their excellent performance and energy consumption. The ubiquity of these architectures in both desktop systems and medium-sized service servers allow enough variability to exploit a wide range of...
[ { "created": "Fri, 23 Oct 2020 18:32:27 GMT", "version": "v1" } ]
2020-10-27
[ [ "Nozal", "Raúl", "" ], [ "Bosque", "Jose Luis", "" ], [ "Beivide", "Ramon", "" ] ]
Heterogeneous systems are present from powerful supercomputers, to mobile devices, including desktop computers, thanks to their excellent performance and energy consumption. The ubiquity of these architectures in both desktop systems and medium-sized service servers allow enough variability to exploit a wide range of p...
2005.07954
Izumi Haruta
Izumi Haruta, Koji Mineshima, Daisuke Bekki
Logical Inferences with Comparatives and Generalized Quantifiers
To appear in the Proceedings of the Association for Computational Linguistics: Student Research Workshop (ACL-SRW 2020)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Comparative constructions pose a challenge in Natural Language Inference (NLI), which is the task of determining whether a text entails a hypothesis. Comparatives are structurally complex in that they interact with other linguistic phenomena such as quantifiers, numerals, and lexical antonyms. In formal semantics, th...
[ { "created": "Sat, 16 May 2020 11:11:48 GMT", "version": "v1" } ]
2020-05-19
[ [ "Haruta", "Izumi", "" ], [ "Mineshima", "Koji", "" ], [ "Bekki", "Daisuke", "" ] ]
Comparative constructions pose a challenge in Natural Language Inference (NLI), which is the task of determining whether a text entails a hypothesis. Comparatives are structurally complex in that they interact with other linguistic phenomena such as quantifiers, numerals, and lexical antonyms. In formal semantics, ther...
2212.05786
Chao Hu
Chao Hu, Shengxin Lai
Multi-scale Feature Imitation for Unsupervised Anomaly Localization
International Joint Conference on Neural Networks 2023
International Joint Conference on Neural Networks 2023
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The unsupervised anomaly localization task faces the challenge of missing anomaly sample training, detecting multiple types of anomalies, and dealing with the proportion of the area of multiple anomalies. A separate teacher-student feature imitation network structure and a multi-scale processing strategy combining an...
[ { "created": "Mon, 12 Dec 2022 09:21:24 GMT", "version": "v1" }, { "created": "Tue, 13 Dec 2022 02:40:13 GMT", "version": "v2" } ]
2022-12-14
[ [ "Hu", "Chao", "" ], [ "Lai", "Shengxin", "" ] ]
The unsupervised anomaly localization task faces the challenge of missing anomaly sample training, detecting multiple types of anomalies, and dealing with the proportion of the area of multiple anomalies. A separate teacher-student feature imitation network structure and a multi-scale processing strategy combining an i...
2101.11282
Wei Chen
Wei Chen, Yu Liu, Weiping Wang, Erwin Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, and Michael S. Lew
Deep Learning for Instance Retrieval: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, particularly that of searching databases for similar content-Content Based Image ...
[ { "created": "Wed, 27 Jan 2021 09:32:58 GMT", "version": "v1" }, { "created": "Wed, 3 Feb 2021 00:33:32 GMT", "version": "v2" }, { "created": "Sat, 8 Jan 2022 11:35:01 GMT", "version": "v3" }, { "created": "Sun, 30 Oct 2022 05:39:12 GMT", "version": "v4" } ]
2022-11-01
[ [ "Chen", "Wei", "" ], [ "Liu", "Yu", "" ], [ "Wang", "Weiping", "" ], [ "Bakker", "Erwin", "" ], [ "Georgiou", "Theodoros", "" ], [ "Fieguth", "Paul", "" ], [ "Liu", "Li", "" ], [ "Lew", "Michael...
In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, particularly that of searching databases for similar content-Content Based Image Re...
2109.07788
Prasanth Sengadu Suresh
Prasanth Sengadu Suresh, Prashant Doshi
Marginal MAP Estimation for Inverse RL under Occlusion with Observer Noise
null
null
null
null
cs.RO cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
We consider the problem of learning the behavioral preferences of an expert engaged in a task from noisy and partially-observable demonstrations. This is motivated by real-world applications such as a line robot learning from observing a human worker, where some observations are occluded by environmental objects that...
[ { "created": "Thu, 16 Sep 2021 08:20:52 GMT", "version": "v1" } ]
2021-09-17
[ [ "Suresh", "Prasanth Sengadu", "" ], [ "Doshi", "Prashant", "" ] ]
We consider the problem of learning the behavioral preferences of an expert engaged in a task from noisy and partially-observable demonstrations. This is motivated by real-world applications such as a line robot learning from observing a human worker, where some observations are occluded by environmental objects that c...
1607.03257
Benjamin Elizalde
Benjamin Elizalde, Guan-Lin Chao, Ming Zeng, Ian Lane
City-Identification of Flickr Videos Using Semantic Acoustic Features
null
null
null
null
cs.MM cs.CV cs.SD
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
City-identification of videos aims to determine the likelihood of a video belonging to a set of cities. In this paper, we present an approach using only audio, thus we do not use any additional modality such as images, user-tags or geo-tags. In this manner, we show to what extent the city-location of videos correlate...
[ { "created": "Tue, 12 Jul 2016 08:30:45 GMT", "version": "v1" } ]
2016-07-13
[ [ "Elizalde", "Benjamin", "" ], [ "Chao", "Guan-Lin", "" ], [ "Zeng", "Ming", "" ], [ "Lane", "Ian", "" ] ]
City-identification of videos aims to determine the likelihood of a video belonging to a set of cities. In this paper, we present an approach using only audio, thus we do not use any additional modality such as images, user-tags or geo-tags. In this manner, we show to what extent the city-location of videos correlates ...
2406.10580
Xiaochen Ma
Xiaochen Ma, Xuekang Zhu, Lei Su, Bo Du, Zhuohang Jiang, Bingkui Tong, Zeyu Lei, Xinyu Yang, Chi-Man Pun, Jiancheng Lv, Jizhe Zhou
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
Technical report
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
A comprehensive benchmark is yet to be established in the Image Manipulation Detection \& Localization (IMDL) field. The absence of such a benchmark leads to insufficient and misleading model evaluations, severely undermining the development of this field. However, the scarcity of open-sourced baseline models and inc...
[ { "created": "Sat, 15 Jun 2024 09:44:54 GMT", "version": "v1" } ]
2024-06-18
[ [ "Ma", "Xiaochen", "" ], [ "Zhu", "Xuekang", "" ], [ "Su", "Lei", "" ], [ "Du", "Bo", "" ], [ "Jiang", "Zhuohang", "" ], [ "Tong", "Bingkui", "" ], [ "Lei", "Zeyu", "" ], [ "Yang", "Xinyu", "...
A comprehensive benchmark is yet to be established in the Image Manipulation Detection \& Localization (IMDL) field. The absence of such a benchmark leads to insufficient and misleading model evaluations, severely undermining the development of this field. However, the scarcity of open-sourced baseline models and incon...
2312.05401
Ergun Akleman
Sitong Deng and Ergun Akleman
A Digital Compositing Approach to obtain Animated Chinese Still-life Paintings with Global Effects
14 pages
null
null
null
cs.GR
http://creativecommons.org/licenses/by/4.0/
In this work, we present a method for turning Chinese still-life paintings with global illumination effects into dynamic paintings with moving lights. Our goal is to preserve the original look and feel of still-life paintings with moving lights and objects. We have developed a deceptively simple method that can be co...
[ { "created": "Fri, 8 Dec 2023 22:53:59 GMT", "version": "v1" } ]
2023-12-12
[ [ "Deng", "Sitong", "" ], [ "Akleman", "Ergun", "" ] ]
In this work, we present a method for turning Chinese still-life paintings with global illumination effects into dynamic paintings with moving lights. Our goal is to preserve the original look and feel of still-life paintings with moving lights and objects. We have developed a deceptively simple method that can be comp...
2003.00916
Bert Abrath
Bert Abrath, Bart Coppens, Jens Van den Broeck, Brecht Wyseur, Alessandro Cabutto, Paolo Falcarin, Bjorn De Sutter
Code Renewability for Native Software Protection
30 pages
null
10.1145/3404891
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software protection aims at safeguarding assets embedded in software by preventing and delaying reverse engineering and tampering attacks. This paper presents an architecture and supporting tool flow to renew parts of native applications dynamically. Renewed and diversified code and data belonging to either the origi...
[ { "created": "Mon, 2 Mar 2020 13:45:04 GMT", "version": "v1" } ]
2020-06-25
[ [ "Abrath", "Bert", "" ], [ "Coppens", "Bart", "" ], [ "Broeck", "Jens Van den", "" ], [ "Wyseur", "Brecht", "" ], [ "Cabutto", "Alessandro", "" ], [ "Falcarin", "Paolo", "" ], [ "De Sutter", "Bjorn", "" ] ...
Software protection aims at safeguarding assets embedded in software by preventing and delaying reverse engineering and tampering attacks. This paper presents an architecture and supporting tool flow to renew parts of native applications dynamically. Renewed and diversified code and data belonging to either the origina...
1705.09776
Xinfeng Zhang
Lingyu Duan, Wei Sun, Xinfeng Zhang, Shiqi Wang, Jie Chen, Jianxiong Yin, Simon See, Tiejun Huang, Alex C. Kot, Wen Gao
Fast MPEG-CDVS Encoder with GPU-CPU Hybrid Computing
null
null
10.1109/TIP.2018.2794203
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The compact descriptors for visual search (CDVS) standard from ISO/IEC moving pictures experts group (MPEG) has succeeded in enabling the interoperability for efficient and effective image retrieval by standardizing the bitstream syntax of compact feature descriptors. However, the intensive computation of CDVS encode...
[ { "created": "Sat, 27 May 2017 06:59:37 GMT", "version": "v1" }, { "created": "Fri, 9 Jun 2017 11:26:11 GMT", "version": "v2" } ]
2018-03-14
[ [ "Duan", "Lingyu", "" ], [ "Sun", "Wei", "" ], [ "Zhang", "Xinfeng", "" ], [ "Wang", "Shiqi", "" ], [ "Chen", "Jie", "" ], [ "Yin", "Jianxiong", "" ], [ "See", "Simon", "" ], [ "Huang", "Tiejun",...
The compact descriptors for visual search (CDVS) standard from ISO/IEC moving pictures experts group (MPEG) has succeeded in enabling the interoperability for efficient and effective image retrieval by standardizing the bitstream syntax of compact feature descriptors. However, the intensive computation of CDVS encoder ...
2208.00316
Guilherme Paulino-Passos
Guilherme Paulino-Passos and Francesca Toni
On Interactive Explanations as Non-Monotonic Reasoning
Corrected version for the XAI-IJCAI 2022 workshop, expands on the XLoKR-KR 2022 workshop
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work shows issues of consistency with explanations, with methods generating local explanations that seem reasonable instance-wise, but that are inconsistent across instances. This suggests not only that instance-wise explanations can be unreliable, but mainly that, when interacting with a system via multiple i...
[ { "created": "Sat, 30 Jul 2022 22:08:35 GMT", "version": "v1" } ]
2022-08-02
[ [ "Paulino-Passos", "Guilherme", "" ], [ "Toni", "Francesca", "" ] ]
Recent work shows issues of consistency with explanations, with methods generating local explanations that seem reasonable instance-wise, but that are inconsistent across instances. This suggests not only that instance-wise explanations can be unreliable, but mainly that, when interacting with a system via multiple inp...
2208.00536
J\k{e}drzej Ko{\l}odziejski
J\k{e}drzej Ko{\l}odziejski and Bartek Klin
Countdown $\mu$-calculus
30 pages, 1 figure
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
We introduce the countdown $\mu$-calculus, an extension of the modal $\mu$-calculus with ordinal approximations of fixpoint operators. In addition to properties definable in the classical calculus, it can express (un)boundedness properties such as the existence of arbitrarily long sequences of specific actions. The s...
[ { "created": "Sun, 31 Jul 2022 22:47:44 GMT", "version": "v1" } ]
2022-08-02
[ [ "Kołodziejski", "Jędrzej", "" ], [ "Klin", "Bartek", "" ] ]
We introduce the countdown $\mu$-calculus, an extension of the modal $\mu$-calculus with ordinal approximations of fixpoint operators. In addition to properties definable in the classical calculus, it can express (un)boundedness properties such as the existence of arbitrarily long sequences of specific actions. The sta...
1502.03951
Pascal Weil
Howard Straubing and Pascal Weil
Varieties
This is a chapter in an upcoming Handbook of Automata Theory
Chapter 16 in Handbook of Automata Theory (Jean-Eric Pin ed.), EMS Publishing, 2021
10.4171/Automata
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This text is devoted to the theory of varieties, which provides an important tool, based in universal algebra, for the classification of regular languages. In the introductory section, we present a number of examples that illustrate and motivate the fundamental concepts. We do this for the most part without proofs, a...
[ { "created": "Fri, 13 Feb 2015 11:40:06 GMT", "version": "v1" }, { "created": "Thu, 2 Jul 2015 07:45:02 GMT", "version": "v2" }, { "created": "Mon, 14 May 2018 16:18:44 GMT", "version": "v3" } ]
2021-11-19
[ [ "Straubing", "Howard", "" ], [ "Weil", "Pascal", "" ] ]
This text is devoted to the theory of varieties, which provides an important tool, based in universal algebra, for the classification of regular languages. In the introductory section, we present a number of examples that illustrate and motivate the fundamental concepts. We do this for the most part without proofs, and...
1308.5338
EPTCS
Andrea Ocone (School of Informatics, University of Edinburgh), Guido Sanguinetti (School of Informatics, University of Edinburgh)
A stochastic hybrid model of a biological filter
In Proceedings HAS 2013, arXiv:1308.4904
EPTCS 124, 2013, pp. 100-108
10.4204/EPTCS.124.10
null
cs.LG cs.CE q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a hybrid model of a biological filter, a genetic circuit which removes fast fluctuations in the cell's internal representation of the extra cellular environment. The model takes the classic feed-forward loop (FFL) motif and represents it as a network of continuous protein concentrations and binary, unobser...
[ { "created": "Sat, 24 Aug 2013 14:34:38 GMT", "version": "v1" } ]
2013-08-27
[ [ "Ocone", "Andrea", "", "School of Informatics, University of Edinburgh" ], [ "Sanguinetti", "Guido", "", "School of Informatics, University of Edinburgh" ] ]
We present a hybrid model of a biological filter, a genetic circuit which removes fast fluctuations in the cell's internal representation of the extra cellular environment. The model takes the classic feed-forward loop (FFL) motif and represents it as a network of continuous protein concentrations and binary, unobserve...
1712.08352
Edgard Marx
Edgard Marx (1 and 2), Tommaso Soru (1), Andr\'e Valdestilhas (1) ((1) University of Leipzig, (2) Leipzig University of Applied Sciences)
Triple Scoring Using a Hybrid Fact Validation Approach - The Catsear Triple Scorer at WSDM Cup 2017
Triple Scorer at WSDM Cup 2017, see arXiv:1712.08081
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the continuous increase of data daily published in knowledge bases across the Web, one of the main issues is regarding information relevance. In most knowledge bases, a triple (i.e., a statement composed by subject, predicate, and object) can be only true or false. However, triples can be assigned a score to hav...
[ { "created": "Fri, 22 Dec 2017 09:04:55 GMT", "version": "v1" } ]
2017-12-25
[ [ "Marx", "Edgard", "", "1 and 2" ], [ "Soru", "Tommaso", "" ], [ "Valdestilhas", "André", "" ] ]
With the continuous increase of data daily published in knowledge bases across the Web, one of the main issues is regarding information relevance. In most knowledge bases, a triple (i.e., a statement composed by subject, predicate, and object) can be only true or false. However, triples can be assigned a score to have ...
1906.06350
Ekram Hossain
Ahmed Refaey, Karim Hammad, Sebastian Magierowski, and Ekram Hossain
A Blockchain Policy and Charging Control Framework for Roaming in Cellular Networks
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a technology foundation of cryptocurrencies, blockchain enables decentralized peer-to-peer trading through consensus mechanisms without the involvement of a third party. Blockchain has been regarded as an auspicious technology for future cellular networks. It is able to provide solutions to problems related to mob...
[ { "created": "Fri, 14 Jun 2019 18:07:00 GMT", "version": "v1" } ]
2019-06-18
[ [ "Refaey", "Ahmed", "" ], [ "Hammad", "Karim", "" ], [ "Magierowski", "Sebastian", "" ], [ "Hossain", "Ekram", "" ] ]
As a technology foundation of cryptocurrencies, blockchain enables decentralized peer-to-peer trading through consensus mechanisms without the involvement of a third party. Blockchain has been regarded as an auspicious technology for future cellular networks. It is able to provide solutions to problems related to mobil...
2204.02964
Yuxin Fang
Yuxin Fang, Shusheng Yang, Shijie Wang, Yixiao Ge, Ying Shan, Xinggang Wang
Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection
v2: more analysis & stronger results. Preprint. Work in progress. Code and pre-trained models are available at https://github.com/hustvl/MIMDet
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an approach to efficiently and effectively adapt a masked image modeling (MIM) pre-trained vanilla Vision Transformer (ViT) for object detection, which is based on our two novel observations: (i) A MIM pre-trained vanilla ViT encoder can work surprisingly well in the challenging object-level recognition sc...
[ { "created": "Wed, 6 Apr 2022 17:59:04 GMT", "version": "v1" }, { "created": "Thu, 19 May 2022 03:41:11 GMT", "version": "v2" } ]
2022-05-20
[ [ "Fang", "Yuxin", "" ], [ "Yang", "Shusheng", "" ], [ "Wang", "Shijie", "" ], [ "Ge", "Yixiao", "" ], [ "Shan", "Ying", "" ], [ "Wang", "Xinggang", "" ] ]
We present an approach to efficiently and effectively adapt a masked image modeling (MIM) pre-trained vanilla Vision Transformer (ViT) for object detection, which is based on our two novel observations: (i) A MIM pre-trained vanilla ViT encoder can work surprisingly well in the challenging object-level recognition scen...
1912.09893
Federico Errica
Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli
A Fair Comparison of Graph Neural Networks for Graph Classification
Extended version of the paper published at the International Conference on Learning Representations (ICLR), 2020. Additional results are shown in the appendix
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Experimental reproducibility and replicability are critical topics in machine learning. Authors have often raised concerns about their lack in scientific publications to improve the quality of the field. Recently, the graph representation learning field has attracted the attention of a wide research community, which ...
[ { "created": "Fri, 20 Dec 2019 15:40:50 GMT", "version": "v1" }, { "created": "Tue, 7 Jan 2020 13:49:46 GMT", "version": "v2" }, { "created": "Thu, 17 Feb 2022 20:19:28 GMT", "version": "v3" } ]
2022-02-21
[ [ "Errica", "Federico", "" ], [ "Podda", "Marco", "" ], [ "Bacciu", "Davide", "" ], [ "Micheli", "Alessio", "" ] ]
Experimental reproducibility and replicability are critical topics in machine learning. Authors have often raised concerns about their lack in scientific publications to improve the quality of the field. Recently, the graph representation learning field has attracted the attention of a wide research community, which re...
1305.4682
Jiayi Chen
Jiayi Chen and Q. T. Zhang
Joint Space Decomposition-and-Synthesis Theory for K-User MIMO Channels: Interference Alignment and DoF Region
Withdraw because lack of converse theorem for the result
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies DoF of interference alignment in K-user MIMO interference channels.
[ { "created": "Tue, 21 May 2013 00:34:25 GMT", "version": "v1" }, { "created": "Thu, 8 Aug 2013 00:49:56 GMT", "version": "v2" } ]
2013-08-09
[ [ "Chen", "Jiayi", "" ], [ "Zhang", "Q. T.", "" ] ]
This paper studies DoF of interference alignment in K-user MIMO interference channels.
2310.02970
Erik J Bekkers
Erik J Bekkers, Sharvaree Vadgama, Rob D Hesselink, Putri A van der Linden, David W Romero
Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
Our code is publicly available at https://github.com/ebekkers/ponita . Published at ICLR 2024
null
null
null
cs.LG math.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Based on the theory of homogeneous spaces we derive geometrically optimal edge attributes to be used within the flexible message-passing framework. We formalize the notion of weight sharing in convolutional networks as the sharing of message functions over point-pairs that should be treated equally. We define equival...
[ { "created": "Wed, 4 Oct 2023 17:06:32 GMT", "version": "v1" }, { "created": "Fri, 24 Nov 2023 08:48:32 GMT", "version": "v2" }, { "created": "Fri, 15 Mar 2024 09:21:33 GMT", "version": "v3" } ]
2024-03-18
[ [ "Bekkers", "Erik J", "" ], [ "Vadgama", "Sharvaree", "" ], [ "Hesselink", "Rob D", "" ], [ "van der Linden", "Putri A", "" ], [ "Romero", "David W", "" ] ]
Based on the theory of homogeneous spaces we derive geometrically optimal edge attributes to be used within the flexible message-passing framework. We formalize the notion of weight sharing in convolutional networks as the sharing of message functions over point-pairs that should be treated equally. We define equivalen...
2101.08533
Yunpeng Gong
Yunpeng Gong, Liqing Huang, Lifei Chen
Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
One of the challenges of computer vision is that it needs to adapt to color deviations in changeable environments. Therefore, minimizing the adverse effects of color deviation on the prediction is one of the main goals of vision task. Current solutions focus on using generative models to augment training data to enha...
[ { "created": "Thu, 21 Jan 2021 10:33:02 GMT", "version": "v1" }, { "created": "Wed, 7 Apr 2021 08:26:49 GMT", "version": "v2" }, { "created": "Mon, 31 May 2021 15:15:14 GMT", "version": "v3" }, { "created": "Tue, 1 Jun 2021 01:30:13 GMT", "version": "v4" }, { "cre...
2022-06-14
[ [ "Gong", "Yunpeng", "" ], [ "Huang", "Liqing", "" ], [ "Chen", "Lifei", "" ] ]
One of the challenges of computer vision is that it needs to adapt to color deviations in changeable environments. Therefore, minimizing the adverse effects of color deviation on the prediction is one of the main goals of vision task. Current solutions focus on using generative models to augment training data to enhanc...
2209.14842
Zafi Sherhan Syed
Muhammad Shehram Shah Syed, Zafi Sherhan Syed and Abbas Syed
Classification of Vocal Bursts for ACII 2022 A-VB-Type Competition using Convolutional Neural Networks and Deep Acoustic Embeddings
Report for our submission to the ACII 2022 Affective Vocal Bursts (A-VB) Competition
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
This report provides a brief description of our proposed solution for the Vocal Burst Type classification task of the ACII 2022 Affective Vocal Bursts (A-VB) Competition. We experimented with two approaches as part of our solution for the task at hand. The first of which is based on convolutional neural networks trai...
[ { "created": "Thu, 29 Sep 2022 14:58:23 GMT", "version": "v1" }, { "created": "Thu, 13 Oct 2022 04:55:38 GMT", "version": "v2" } ]
2022-10-14
[ [ "Syed", "Muhammad Shehram Shah", "" ], [ "Syed", "Zafi Sherhan", "" ], [ "Syed", "Abbas", "" ] ]
This report provides a brief description of our proposed solution for the Vocal Burst Type classification task of the ACII 2022 Affective Vocal Bursts (A-VB) Competition. We experimented with two approaches as part of our solution for the task at hand. The first of which is based on convolutional neural networks traine...
1604.08137
Valmir C. Barbosa
Fabiano de S. Oliveira, Valmir C. Barbosa
On the mediation of program allocation in high-demand environments
This version addresses a few minor issues and fixes a derivative
null
null
null
cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we challenge the widely accepted premise that, in order to carry out a distributed computation, say on the cloud, users have to inform, along with all the inputs that the algorithm in use requires, the number of processors to be used. We discuss the complicated nature of deciding the value of such param...
[ { "created": "Wed, 27 Apr 2016 16:48:45 GMT", "version": "v1" }, { "created": "Thu, 28 Apr 2016 17:43:43 GMT", "version": "v2" }, { "created": "Mon, 6 May 2019 17:48:56 GMT", "version": "v3" }, { "created": "Fri, 20 Sep 2019 17:22:17 GMT", "version": "v4" } ]
2019-09-23
[ [ "Oliveira", "Fabiano de S.", "" ], [ "Barbosa", "Valmir C.", "" ] ]
In this paper we challenge the widely accepted premise that, in order to carry out a distributed computation, say on the cloud, users have to inform, along with all the inputs that the algorithm in use requires, the number of processors to be used. We discuss the complicated nature of deciding the value of such paramet...
2202.03316
Fabio Saracco
Mattia Mattei, Manuel Pratelli, Guido Caldarelli, Marinella Petrocchi, and Fabio Saracco
Bow-Tie Structures of Twitter Discursive Communities
47 pages, 25 figures, 7 tables
Sci Rep 12, 12944 (2022)
10.1038/s41598-022-16603-7
null
cs.SI physics.data-an
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the analysis of Twitter debate, the recent literature focused on discursive communities, i.e. clusters of accounts interacting among themselves via retweets. In the present work, we studied discursive communities in 8 different thematic Twitter datasets in various languages. Surprisingly, we observed that almost a...
[ { "created": "Mon, 7 Feb 2022 16:01:03 GMT", "version": "v1" }, { "created": "Tue, 28 Jun 2022 16:06:23 GMT", "version": "v2" } ]
2022-08-01
[ [ "Mattei", "Mattia", "" ], [ "Pratelli", "Manuel", "" ], [ "Caldarelli", "Guido", "" ], [ "Petrocchi", "Marinella", "" ], [ "Saracco", "Fabio", "" ] ]
In the analysis of Twitter debate, the recent literature focused on discursive communities, i.e. clusters of accounts interacting among themselves via retweets. In the present work, we studied discursive communities in 8 different thematic Twitter datasets in various languages. Surprisingly, we observed that almost all...
1710.00852
Rui A. da Costa
N. A. M. Ara\'ujo, R. A. da Costa, S. N. Dorogovtsev, and J. F. F. Mendes
Finding the optimal nets for self-folding Kirigami
6 pages, 5 figures, Supplemental Material, Source Code
Phys. Rev. Lett. 120, 188001 (2018)
10.1103/PhysRevLett.120.188001
null
cs.DS cond-mat.soft cond-mat.stat-mech physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Three-dimensional shells can be synthesized from the spontaneous self-folding of two-dimensional templates of interconnected panels, called nets. However, some nets are more likely to self-fold into the desired shell under random movements. The optimal nets are the ones that maximize the number of vertex connections,...
[ { "created": "Mon, 2 Oct 2017 18:11:45 GMT", "version": "v1" }, { "created": "Sat, 7 Jul 2018 21:13:32 GMT", "version": "v2" } ]
2018-07-10
[ [ "Araújo", "N. A. M.", "" ], [ "da Costa", "R. A.", "" ], [ "Dorogovtsev", "S. N.", "" ], [ "Mendes", "J. F. F.", "" ] ]
Three-dimensional shells can be synthesized from the spontaneous self-folding of two-dimensional templates of interconnected panels, called nets. However, some nets are more likely to self-fold into the desired shell under random movements. The optimal nets are the ones that maximize the number of vertex connections, i...
2110.03800
Yassaman Ommi Ms.
Yassaman Ommi, Matin Yousefabadi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation
null
null
10.1145/3487553.3524721
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph data structures are fundamental for studying connected entities. With an increase in the number of applications where data is represented as graphs, the problem of graph generation has recently become a hot topic. However, despite its significance, conditional graph generation that creates graphs with desired f...
[ { "created": "Thu, 7 Oct 2021 21:24:07 GMT", "version": "v1" }, { "created": "Mon, 25 Apr 2022 09:18:14 GMT", "version": "v2" } ]
2022-04-26
[ [ "Ommi", "Yassaman", "" ], [ "Yousefabadi", "Matin", "" ], [ "Faez", "Faezeh", "" ], [ "Sabour", "Amirmojtaba", "" ], [ "Baghshah", "Mahdieh Soleymani", "" ], [ "Rabiee", "Hamid R.", "" ] ]
Graph data structures are fundamental for studying connected entities. With an increase in the number of applications where data is represented as graphs, the problem of graph generation has recently become a hot topic. However, despite its significance, conditional graph generation that creates graphs with desired fea...
2303.14792
Mehdi Delrobaei
Fateme Zare, Paniz Sedighi, Mehdi Delrobaei
A Wearable RFID-Based Navigation System for the Visually Impaired
6 pages, 6 figures, 3 tables
null
10.1109/ICRoM57054.2022.10025351
null
cs.HC cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Recent studies have focused on developing advanced assistive devices to help blind or visually impaired people. Navigation is challenging for this community; however, developing a simple yet reliable navigation system is still an unmet need. This study targets the navigation problem and proposes a wearable assistive ...
[ { "created": "Sun, 26 Mar 2023 18:30:57 GMT", "version": "v1" } ]
2023-03-28
[ [ "Zare", "Fateme", "" ], [ "Sedighi", "Paniz", "" ], [ "Delrobaei", "Mehdi", "" ] ]
Recent studies have focused on developing advanced assistive devices to help blind or visually impaired people. Navigation is challenging for this community; however, developing a simple yet reliable navigation system is still an unmet need. This study targets the navigation problem and proposes a wearable assistive sy...
2405.11819
Chris C. Emezue
Chris Emezue
Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translation
In fulfillment of the 2024 practical coursework of IFT6132 course: https://www-labs.iro.umontreal.ca/~slacoste/teaching/ift6132/W24/
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Structured prediction tasks, like machine translation, involve learning functions that map structured inputs to structured outputs. Recurrent Neural Networks (RNNs) have historically been a popular choice for such tasks, including in natural language processing (NLP) applications. However, training RNNs using Maximum...
[ { "created": "Mon, 20 May 2024 06:28:43 GMT", "version": "v1" } ]
2024-05-21
[ [ "Emezue", "Chris", "" ] ]
Structured prediction tasks, like machine translation, involve learning functions that map structured inputs to structured outputs. Recurrent Neural Networks (RNNs) have historically been a popular choice for such tasks, including in natural language processing (NLP) applications. However, training RNNs using Maximum L...
1803.06911
Sheng Jin
Sheng Jin
Unsupervised Semantic Deep Hashing
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, deep hashing methods have been proved to be efficient since it employs convolutional neural network to learn features and hashing codes simultaneously. However, these methods are mostly supervised. In real-world application, it is a time-consuming and overloaded task for annotating a large number of ...
[ { "created": "Mon, 19 Mar 2018 13:42:23 GMT", "version": "v1" } ]
2018-03-20
[ [ "Jin", "Sheng", "" ] ]
In recent years, deep hashing methods have been proved to be efficient since it employs convolutional neural network to learn features and hashing codes simultaneously. However, these methods are mostly supervised. In real-world application, it is a time-consuming and overloaded task for annotating a large number of im...
2205.12673
Prakhar Gupta
Prakhar Gupta, Cathy Jiao, Yi-Ting Yeh, Shikib Mehri, Maxine Eskenazi and Jeffrey P. Bigham
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
EMNLP 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Instruction tuning is an emergent paradigm in NLP wherein natural language instructions are leveraged with language models to induce zero-shot performance on unseen tasks. Instructions have been shown to enable good performance on unseen tasks and datasets in both large and small language models. Dialogue is an espec...
[ { "created": "Wed, 25 May 2022 11:37:06 GMT", "version": "v1" }, { "created": "Wed, 26 Oct 2022 17:10:03 GMT", "version": "v2" } ]
2022-10-27
[ [ "Gupta", "Prakhar", "" ], [ "Jiao", "Cathy", "" ], [ "Yeh", "Yi-Ting", "" ], [ "Mehri", "Shikib", "" ], [ "Eskenazi", "Maxine", "" ], [ "Bigham", "Jeffrey P.", "" ] ]
Instruction tuning is an emergent paradigm in NLP wherein natural language instructions are leveraged with language models to induce zero-shot performance on unseen tasks. Instructions have been shown to enable good performance on unseen tasks and datasets in both large and small language models. Dialogue is an especia...
2405.11554
David Braun
David Braun
DAC-JAX: A JAX Implementation of the Descript Audio Codec
5 pages, 3 figures, 2 tables
null
null
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
We present an open-source implementation of the Descript Audio Codec (DAC) using Google's JAX ecosystem of Flax, Optax, Orbax, AUX, and CLU. Our codebase enables the reuse of model weights from the original PyTorch DAC, and we confirm that the two implementations produce equivalent token sequences and decoded audio i...
[ { "created": "Sun, 19 May 2024 14:07:31 GMT", "version": "v1" } ]
2024-05-21
[ [ "Braun", "David", "" ] ]
We present an open-source implementation of the Descript Audio Codec (DAC) using Google's JAX ecosystem of Flax, Optax, Orbax, AUX, and CLU. Our codebase enables the reuse of model weights from the original PyTorch DAC, and we confirm that the two implementations produce equivalent token sequences and decoded audio if ...
1803.01126
Fabio Calefato
Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile, Bogdan Vasilescu
On Developers' Personality in Large-scale Distributed Projects: The Case of the Apache Ecosystem
In Proc. Int'l Conf. on Global Software Engineering (ICGSE'18), Gothenburg, Sweden, May 28-29, 2018
In Proc. Int'l Conf. on Global Software Engineering (ICGSE'18), Gothenburg, Sweden, May 28-29, 2018
10.1145/3196369.3196372
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large-scale distributed projects are typically the results of collective efforts performed by multiple developers, each one having a different personality. The study of developers' personalities has the potential of explaining their' behavior in various contexts. For example, the propensity to trust others, a critica...
[ { "created": "Sat, 3 Mar 2018 08:42:08 GMT", "version": "v1" }, { "created": "Wed, 14 Mar 2018 10:29:03 GMT", "version": "v2" }, { "created": "Fri, 25 May 2018 14:14:28 GMT", "version": "v3" }, { "created": "Mon, 24 Sep 2018 13:48:38 GMT", "version": "v4" } ]
2021-07-30
[ [ "Calefato", "Fabio", "" ], [ "Iaffaldano", "Giuseppe", "" ], [ "Lanubile", "Filippo", "" ], [ "Vasilescu", "Bogdan", "" ] ]
Large-scale distributed projects are typically the results of collective efforts performed by multiple developers, each one having a different personality. The study of developers' personalities has the potential of explaining their' behavior in various contexts. For example, the propensity to trust others, a critical ...
2103.00519
Andreas Holzinger
Andreas Holzinger, Anna Saranti, Heimo Mueller
KANDINSKYPatterns -- An experimental exploration environment for Pattern Analysis and Machine Intelligence
12 pages, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), currently under review
null
null
null
cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Machine intelligence is very successful at standard recognition tasks when having high-quality training data. There is still a significant gap between machine-level pattern recognition and human-level concept learning. Humans can learn under uncertainty from only a few examples and generalize these concepts to solve ...
[ { "created": "Sun, 28 Feb 2021 14:09:59 GMT", "version": "v1" } ]
2021-03-02
[ [ "Holzinger", "Andreas", "" ], [ "Saranti", "Anna", "" ], [ "Mueller", "Heimo", "" ] ]
Machine intelligence is very successful at standard recognition tasks when having high-quality training data. There is still a significant gap between machine-level pattern recognition and human-level concept learning. Humans can learn under uncertainty from only a few examples and generalize these concepts to solve ne...
2310.15931
Weiye Zhang
Weiye Zhang, Wenshuai Yu, Licong Zhuang, Xiaoyi Zhang, Zhi Zeng and Jiasong Zhu
GO-FEAP: Global Optimal UAV Planner Using Frontier-Omission-Aware Exploration and Altitude-Stratified Planning
7 pages,29 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous exploration is a fundamental problem for various applications of unmanned aerial vehicles(UAVs). Existing methods, however, are demonstrated to static local optima and two-dimensional exploration. To address these challenges, this paper introduces GO-FEAP (Global Optimal UAV Planner Using Frontier-Omission...
[ { "created": "Tue, 24 Oct 2023 15:28:06 GMT", "version": "v1" } ]
2023-10-25
[ [ "Zhang", "Weiye", "" ], [ "Yu", "Wenshuai", "" ], [ "Zhuang", "Licong", "" ], [ "Zhang", "Xiaoyi", "" ], [ "Zeng", "Zhi", "" ], [ "Zhu", "Jiasong", "" ] ]
Autonomous exploration is a fundamental problem for various applications of unmanned aerial vehicles(UAVs). Existing methods, however, are demonstrated to static local optima and two-dimensional exploration. To address these challenges, this paper introduces GO-FEAP (Global Optimal UAV Planner Using Frontier-Omission-A...
1804.04272
Lars Ruthotto
Lars Ruthotto and Eldad Haber
Deep Neural Networks Motivated by Partial Differential Equations
9 pages, 4 figures, 1 table
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Partial differential equations (PDEs) are indispensable for modeling many physical phenomena and also commonly used for solving image processing tasks. In the latter area, PDE-based approaches interpret image data as discretizations of multivariate functions and the output of image processing algorithms as solutions ...
[ { "created": "Thu, 12 Apr 2018 01:40:55 GMT", "version": "v1" }, { "created": "Mon, 10 Dec 2018 21:51:10 GMT", "version": "v2" } ]
2018-12-12
[ [ "Ruthotto", "Lars", "" ], [ "Haber", "Eldad", "" ] ]
Partial differential equations (PDEs) are indispensable for modeling many physical phenomena and also commonly used for solving image processing tasks. In the latter area, PDE-based approaches interpret image data as discretizations of multivariate functions and the output of image processing algorithms as solutions to...
1608.05347
Feras Saad
Feras Saad, Vikash Mansinghka
Probabilistic Data Analysis with Probabilistic Programming
null
null
null
null
cs.AI cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Probabilistic techniques are central to data analysis, but different approaches can be difficult to apply, combine, and compare. This paper introduces composable generative population models (CGPMs), a computational abstraction that extends directed graphical models and can be used to describe and compose a broad cla...
[ { "created": "Thu, 18 Aug 2016 17:47:53 GMT", "version": "v1" } ]
2016-08-19
[ [ "Saad", "Feras", "" ], [ "Mansinghka", "Vikash", "" ] ]
Probabilistic techniques are central to data analysis, but different approaches can be difficult to apply, combine, and compare. This paper introduces composable generative population models (CGPMs), a computational abstraction that extends directed graphical models and can be used to describe and compose a broad class...
1405.1655
Abuzer Yakaryilmaz
Abuzer Yakaryilmaz and A. C. Cem Say, and H. G\"okalp Demirci
Debates with small transparent quantum verifiers
18 pages. A revised and extended version. A preliminary version appeared in the proceedings of DLT2014
null
null
null
cs.CC cs.FL quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a model where two opposing provers debate over the membership status of a given string in a language, trying to convince a weak verifier whose coins are visible to all. We show that the incorporation of just two qubits to an otherwise classical constant-space verifier raises the class of debatable languages ...
[ { "created": "Wed, 7 May 2014 16:08:56 GMT", "version": "v1" }, { "created": "Thu, 9 Jul 2015 22:55:20 GMT", "version": "v2" } ]
2015-07-13
[ [ "Yakaryilmaz", "Abuzer", "" ], [ "Say", "A. C. Cem", "" ], [ "Demirci", "H. Gökalp", "" ] ]
We study a model where two opposing provers debate over the membership status of a given string in a language, trying to convince a weak verifier whose coins are visible to all. We show that the incorporation of just two qubits to an otherwise classical constant-space verifier raises the class of debatable languages fr...
1504.00774
Hiro Ito
Hiro Ito (UEC, Japan and CREST, JST, Japan) and Takahiro Ueda (Komatsu Ltd., Japan)
How to solve the cake-cutting problem in sublinear time
15 pages, no figure
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we show algorithms for solving the cake-cutting problem in sublinear-time. More specifically, we preassign (simple) fair portions to o(n) players in o(n)-time, and minimize the damage to the rest of the players. All currently known algorithms require Omega(n)-time, even when assigning a portion to just...
[ { "created": "Fri, 3 Apr 2015 08:24:31 GMT", "version": "v1" }, { "created": "Thu, 23 Jul 2015 10:48:52 GMT", "version": "v2" } ]
2015-07-24
[ [ "Ito", "Hiro", "", "UEC, Japan and CREST, JST, Japan" ], [ "Ueda", "Takahiro", "", "Komatsu\n Ltd., Japan" ] ]
In this paper, we show algorithms for solving the cake-cutting problem in sublinear-time. More specifically, we preassign (simple) fair portions to o(n) players in o(n)-time, and minimize the damage to the rest of the players. All currently known algorithms require Omega(n)-time, even when assigning a portion to just o...
1706.02828
Juan David Arcila Moreno
Juan David Arcila Moreno, Santiago Passos and Mauricio Toro
On-line Assembling Mitochondrial DNA from de novo transcriptome
3 pages
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is focused in designing an efficient on-line algorithm to reconstruct a DNA sequence and search the genes in it, we assume that the segment have no mutation or reading error, the algorithm is based on de Bruijn Graph for reconstructing the DNA from the segments taking k-mers large enough no to generate cyc...
[ { "created": "Fri, 9 Jun 2017 04:04:18 GMT", "version": "v1" } ]
2017-06-12
[ [ "Moreno", "Juan David Arcila", "" ], [ "Passos", "Santiago", "" ], [ "Toro", "Mauricio", "" ] ]
This paper is focused in designing an efficient on-line algorithm to reconstruct a DNA sequence and search the genes in it, we assume that the segment have no mutation or reading error, the algorithm is based on de Bruijn Graph for reconstructing the DNA from the segments taking k-mers large enough no to generate cycle...
1806.04234
Ulle Endriss
Ulle Endriss
Lecture Notes on Fair Division
null
null
null
null
cs.AI cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fair division is the problem of dividing one or several goods amongst two or more agents in a way that satisfies a suitable fairness criterion. These Notes provide a succinct introduction to the field. We cover three main topics. First, we need to define what is to be understood by a "fair" allocation of goods to ind...
[ { "created": "Mon, 11 Jun 2018 20:41:23 GMT", "version": "v1" } ]
2018-06-13
[ [ "Endriss", "Ulle", "" ] ]
Fair division is the problem of dividing one or several goods amongst two or more agents in a way that satisfies a suitable fairness criterion. These Notes provide a succinct introduction to the field. We cover three main topics. First, we need to define what is to be understood by a "fair" allocation of goods to indiv...
2404.15436
Simon Baeuerle
Alina Pleli, Simon Baeuerle, Michel Janus, Jonas Barth, Ralf Mikut, Hendrik P. A. Lensch
Iterative Cluster Harvesting for Wafer Map Defect Patterns
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unsupervised clustering of wafer map defect patterns is challenging because the appearance of certain defect patterns varies significantly. This includes changing shape, location, density, and rotation of the defect area on the wafer. We present a harvesting approach, which can cluster even challenging defect pattern...
[ { "created": "Tue, 23 Apr 2024 18:26:11 GMT", "version": "v1" } ]
2024-04-25
[ [ "Pleli", "Alina", "" ], [ "Baeuerle", "Simon", "" ], [ "Janus", "Michel", "" ], [ "Barth", "Jonas", "" ], [ "Mikut", "Ralf", "" ], [ "Lensch", "Hendrik P. A.", "" ] ]
Unsupervised clustering of wafer map defect patterns is challenging because the appearance of certain defect patterns varies significantly. This includes changing shape, location, density, and rotation of the defect area on the wafer. We present a harvesting approach, which can cluster even challenging defect patterns ...
2207.00928
Jing Li
Qidan Zhu, Jing Li, Fei Yuan, Quan Gan
Continuous Sign Language Recognition via Temporal Super-Resolution Network
13 pages, 11 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Aiming at the problem that the spatial-temporal hierarchical continuous sign language recognition model based on deep learning has a large amount of computation, which limits the real-time application of the model, this paper proposes a temporal super-resolution network(TSRNet). The data is reconstructed into a dense...
[ { "created": "Sun, 3 Jul 2022 00:55:45 GMT", "version": "v1" } ]
2022-07-05
[ [ "Zhu", "Qidan", "" ], [ "Li", "Jing", "" ], [ "Yuan", "Fei", "" ], [ "Gan", "Quan", "" ] ]
Aiming at the problem that the spatial-temporal hierarchical continuous sign language recognition model based on deep learning has a large amount of computation, which limits the real-time application of the model, this paper proposes a temporal super-resolution network(TSRNet). The data is reconstructed into a dense f...
2302.06174
Daniel Hienert
Ricardo Schiffers, Dagmar Kern, Daniel Hienert
Evaluation of Word Embeddings for the Social Sciences
null
In Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature 2022, edited by Stefania Degaetano, Anna Kazantseva, Nils Reiter, and Stan Szpakowicz, 1-6
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Word embeddings are an essential instrument in many NLP tasks. Most available resources are trained on general language from Web corpora or Wikipedia dumps. However, word embeddings for domain-specific language are rare, in particular for the social science domain. Therefore, in this work, we describe the creation an...
[ { "created": "Mon, 13 Feb 2023 08:23:03 GMT", "version": "v1" } ]
2023-02-14
[ [ "Schiffers", "Ricardo", "" ], [ "Kern", "Dagmar", "" ], [ "Hienert", "Daniel", "" ] ]
Word embeddings are an essential instrument in many NLP tasks. Most available resources are trained on general language from Web corpora or Wikipedia dumps. However, word embeddings for domain-specific language are rare, in particular for the social science domain. Therefore, in this work, we describe the creation and ...
1706.05254
Margaretha Gansterer
Margaretha Gansterer and Richard F. Hartl
Collaborative vehicle routing: a survey
null
null
null
null
cs.MA cs.AI cs.CY math.OC physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In horizontal collaborations, carriers form coalitions in order to perform parts of their logistics operations jointly. By exchanging transportation requests among each other, they can operate more efficiently and in a more sustainable way. Collaborative vehicle routing has been extensively discussed in the literatur...
[ { "created": "Tue, 13 Jun 2017 20:21:00 GMT", "version": "v1" } ]
2017-06-19
[ [ "Gansterer", "Margaretha", "" ], [ "Hartl", "Richard F.", "" ] ]
In horizontal collaborations, carriers form coalitions in order to perform parts of their logistics operations jointly. By exchanging transportation requests among each other, they can operate more efficiently and in a more sustainable way. Collaborative vehicle routing has been extensively discussed in the literature....
2108.11994
Melika Golestani
Melika Golestani, Seyedeh Zahra Razavi, and Heshaam Faili
A New Sentence Ordering Method Using BERT Pretrained Model
7 pages, 4 figures, 2020 11th International Conference on Information and Knowledge Technology (IKT)
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Building systems with capability of natural language understanding (NLU) has been one of the oldest areas of AI. An essential component of NLU is to detect logical succession of events contained in a text. The task of sentence ordering is proposed to learn succession of events with applications in AI tasks. The perfo...
[ { "created": "Thu, 26 Aug 2021 18:47:15 GMT", "version": "v1" } ]
2021-08-30
[ [ "Golestani", "Melika", "" ], [ "Razavi", "Seyedeh Zahra", "" ], [ "Faili", "Heshaam", "" ] ]
Building systems with capability of natural language understanding (NLU) has been one of the oldest areas of AI. An essential component of NLU is to detect logical succession of events contained in a text. The task of sentence ordering is proposed to learn succession of events with applications in AI tasks. The perform...
2308.12490
Yu-Wen Chen
Yu-Wen Chen, Zhou Yu, Julia Hirschberg
MultiPA: A Multi-task Speech Pronunciation Assessment Model for Open Response Scenarios
INTERSPEECH 2024
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pronunciation assessment models designed for open response scenarios enable users to practice language skills in a manner similar to real-life communication. However, previous open-response pronunciation assessment models have predominantly focused on a single pronunciation task, such as sentence-level accuracy, rath...
[ { "created": "Thu, 24 Aug 2023 01:24:09 GMT", "version": "v1" }, { "created": "Wed, 5 Jun 2024 02:16:42 GMT", "version": "v2" } ]
2024-06-06
[ [ "Chen", "Yu-Wen", "" ], [ "Yu", "Zhou", "" ], [ "Hirschberg", "Julia", "" ] ]
Pronunciation assessment models designed for open response scenarios enable users to practice language skills in a manner similar to real-life communication. However, previous open-response pronunciation assessment models have predominantly focused on a single pronunciation task, such as sentence-level accuracy, rather...
2406.19934
Chuanqi Cheng
Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis
null
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
We explore multi-step reasoning in vision-language models (VLMs). The problem is challenging, as reasoning data consisting of multiple steps of visual and language processing are barely available. To overcome the challenge, we first introduce a least-to-most visual reasoning paradigm, which interleaves steps of decom...
[ { "created": "Fri, 28 Jun 2024 14:04:10 GMT", "version": "v1" } ]
2024-07-01
[ [ "Cheng", "Chuanqi", "" ], [ "Guan", "Jian", "" ], [ "Wu", "Wei", "" ], [ "Yan", "Rui", "" ] ]
We explore multi-step reasoning in vision-language models (VLMs). The problem is challenging, as reasoning data consisting of multiple steps of visual and language processing are barely available. To overcome the challenge, we first introduce a least-to-most visual reasoning paradigm, which interleaves steps of decompo...
2311.13008
Tobin South
Alex Berke, Tobin South, Robert Mahari, Kent Larson, Alex Pentland
zkTax: A pragmatic way to support zero-knowledge tax disclosures
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by-sa/4.0/
Tax returns contain key financial information of interest to third parties: public officials are asked to share financial data for transparency, companies seek to assess the financial status of business partners, and individuals need to prove their income to landlords or to receive benefits. Tax returns also contain ...
[ { "created": "Tue, 21 Nov 2023 21:34:10 GMT", "version": "v1" }, { "created": "Sun, 24 Mar 2024 13:54:08 GMT", "version": "v2" } ]
2024-03-26
[ [ "Berke", "Alex", "" ], [ "South", "Tobin", "" ], [ "Mahari", "Robert", "" ], [ "Larson", "Kent", "" ], [ "Pentland", "Alex", "" ] ]
Tax returns contain key financial information of interest to third parties: public officials are asked to share financial data for transparency, companies seek to assess the financial status of business partners, and individuals need to prove their income to landlords or to receive benefits. Tax returns also contain se...
cs/0502003
Sandor P. Fekete
Alexander Kroeller, Dennis Pfisterer, Carsten Buschmann, Sandor P. Fekete, and Stefan Fischer
Shawn: A new approach to simulating wireless sensor networks
10 pages, 2 figures, 2 tables, Latex, to appear in Design, Analysis, and Simulation of Distributed Systems 2005
null
null
null
cs.DC cs.PF
null
We consider the simulation of wireless sensor networks (WSN) using a new approach. We present Shawn, an open-source discrete-event simulator that has considerable differences to all other existing simulators. Shawn is very powerful in simulating large scale networks with an abstract point of view. It is, to the best ...
[ { "created": "Tue, 1 Feb 2005 12:23:26 GMT", "version": "v1" } ]
2007-05-23
[ [ "Kroeller", "Alexander", "" ], [ "Pfisterer", "Dennis", "" ], [ "Buschmann", "Carsten", "" ], [ "Fekete", "Sandor P.", "" ], [ "Fischer", "Stefan", "" ] ]
We consider the simulation of wireless sensor networks (WSN) using a new approach. We present Shawn, an open-source discrete-event simulator that has considerable differences to all other existing simulators. Shawn is very powerful in simulating large scale networks with an abstract point of view. It is, to the best of...
1402.7216
Jana Paz\'urikov\'a
Jana Paz\'urikov\'a
Large-Scale Molecular Dynamics Simulations for Highly Parallel Infrastructures
thesis proposal
null
null
null
cs.DC cs.CE physics.comp-ph
http://creativecommons.org/licenses/by-nc-sa/3.0/
Computational chemistry allows researchers to experiment in sillico: by running a computer simulations of a biological or chemical processes of interest. Molecular dynamics with molecular mechanics model of interactions simulates N-body problem of atoms$-$it computes movements of atoms according to Newtonian physics ...
[ { "created": "Fri, 28 Feb 2014 11:59:08 GMT", "version": "v1" } ]
2014-03-03
[ [ "Pazúriková", "Jana", "" ] ]
Computational chemistry allows researchers to experiment in sillico: by running a computer simulations of a biological or chemical processes of interest. Molecular dynamics with molecular mechanics model of interactions simulates N-body problem of atoms$-$it computes movements of atoms according to Newtonian physics an...
0704.3646
Joseph Y. Halpern
Ittai Abraham, Danny Dolev, and Joseph Y. Halpern
Lower Bounds on Implementing Robust and Resilient Mediators
null
null
null
null
cs.GT cs.CR cs.DC
null
We consider games that have (k,t)-robust equilibria when played with a mediator, where an equilibrium is (k,t)-robust if it tolerates deviations by coalitions of size up to k and deviations by up to $t$ players with unknown utilities. We prove lower bounds that match upper bounds on the ability to implement such medi...
[ { "created": "Fri, 27 Apr 2007 01:32:15 GMT", "version": "v1" }, { "created": "Thu, 6 Dec 2007 22:17:40 GMT", "version": "v2" } ]
2007-12-07
[ [ "Abraham", "Ittai", "" ], [ "Dolev", "Danny", "" ], [ "Halpern", "Joseph Y.", "" ] ]
We consider games that have (k,t)-robust equilibria when played with a mediator, where an equilibrium is (k,t)-robust if it tolerates deviations by coalitions of size up to k and deviations by up to $t$ players with unknown utilities. We prove lower bounds that match upper bounds on the ability to implement such mediat...
2109.02613
Deepak Sridhar
Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, Yaoxin Li, Peng Dai, Juwei Lu
Class Semantics-based Attention for Action Detection
Accepted to ICCV 2021
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Action localization networks are often structured as a feature encoder sub-network and a localization sub-network, where the feature encoder learns to transform an input video to features that are useful for the localization sub-network to generate reliable action proposals. While some of the encoded features may be ...
[ { "created": "Mon, 6 Sep 2021 17:22:46 GMT", "version": "v1" } ]
2021-09-07
[ [ "Sridhar", "Deepak", "" ], [ "Quader", "Niamul", "" ], [ "Muralidharan", "Srikanth", "" ], [ "Li", "Yaoxin", "" ], [ "Dai", "Peng", "" ], [ "Lu", "Juwei", "" ] ]
Action localization networks are often structured as a feature encoder sub-network and a localization sub-network, where the feature encoder learns to transform an input video to features that are useful for the localization sub-network to generate reliable action proposals. While some of the encoded features may be mo...
1904.10215
Mordechai Shalom
Yuval Emek, Shay Kutten, Mordechai Shalom, Shmuel Zaks
Multicast Communications in Tree Networks with Heterogeneous Capacity Constraints
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A widely studied problem in communication networks is that of finding the maximum number of communication requests that can be scheduled concurrently, subject to node and/or link capacity constraints. In this paper, we consider the problem of finding the largest number of multicast communication requests that can be ...
[ { "created": "Tue, 23 Apr 2019 09:13:36 GMT", "version": "v1" }, { "created": "Fri, 22 May 2020 14:27:42 GMT", "version": "v2" } ]
2020-05-25
[ [ "Emek", "Yuval", "" ], [ "Kutten", "Shay", "" ], [ "Shalom", "Mordechai", "" ], [ "Zaks", "Shmuel", "" ] ]
A widely studied problem in communication networks is that of finding the maximum number of communication requests that can be scheduled concurrently, subject to node and/or link capacity constraints. In this paper, we consider the problem of finding the largest number of multicast communication requests that can be se...
1608.04738
Shenjian Zhao
Shenjian Zhao, Zhihua Zhang
An Efficient Character-Level Neural Machine Translation
null
null
null
null
cs.CL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural machine translation aims at building a single large neural network that can be trained to maximize translation performance. The encoder-decoder architecture with an attention mechanism achieves a translation performance comparable to the existing state-of-the-art phrase-based systems on the task of English-to-...
[ { "created": "Tue, 16 Aug 2016 07:44:02 GMT", "version": "v1" }, { "created": "Fri, 19 Aug 2016 06:49:32 GMT", "version": "v2" } ]
2016-08-22
[ [ "Zhao", "Shenjian", "" ], [ "Zhang", "Zhihua", "" ] ]
Neural machine translation aims at building a single large neural network that can be trained to maximize translation performance. The encoder-decoder architecture with an attention mechanism achieves a translation performance comparable to the existing state-of-the-art phrase-based systems on the task of English-to-Fr...
1912.01798
Charlie Hou
Charlie Hou and Mingxun Zhou and Yan Ji and Phil Daian and Florian Tramer and Giulia Fanti and Ari Juels
SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Incentive mechanisms are central to the functionality of permissionless blockchains: they incentivize participants to run and secure the underlying consensus protocol. Designing incentive-compatible incentive mechanisms is notoriously challenging, however. As a result, most public blockchains today use incentive mech...
[ { "created": "Wed, 4 Dec 2019 04:48:21 GMT", "version": "v1" }, { "created": "Tue, 4 Aug 2020 19:02:57 GMT", "version": "v2" } ]
2020-08-06
[ [ "Hou", "Charlie", "" ], [ "Zhou", "Mingxun", "" ], [ "Ji", "Yan", "" ], [ "Daian", "Phil", "" ], [ "Tramer", "Florian", "" ], [ "Fanti", "Giulia", "" ], [ "Juels", "Ari", "" ] ]
Incentive mechanisms are central to the functionality of permissionless blockchains: they incentivize participants to run and secure the underlying consensus protocol. Designing incentive-compatible incentive mechanisms is notoriously challenging, however. As a result, most public blockchains today use incentive mechan...
1502.00724
Amal Saha
Amal Saha, Sugata Sanyal
Review of Considerations for Mobile Device based Secure Access to Financial Services and Risk Handling Strategy for CIOs, CISOs and CTOs
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The information technology and security stakeholders like CIOs, CISOs and CTOs in financial services organization are often asked to identify the risks with mobile computing channel for financial services that they support. They are also asked to come up with approaches for handling risks, define risk acceptance leve...
[ { "created": "Tue, 3 Feb 2015 03:44:32 GMT", "version": "v1" } ]
2015-02-04
[ [ "Saha", "Amal", "" ], [ "Sanyal", "Sugata", "" ] ]
The information technology and security stakeholders like CIOs, CISOs and CTOs in financial services organization are often asked to identify the risks with mobile computing channel for financial services that they support. They are also asked to come up with approaches for handling risks, define risk acceptance level ...
cs/0204009
Thomas Eiter
Thomas Eiter, Georg Gottlob, and Kazuhisa Makino
New Results on Monotone Dualization and Generating Hypergraph Transversals
Removed some minor errors. A shorter version of this paper appears in: Proceedings of the 34th ACM Symposium on Theory of Computing (STOC-02), May 19-21, 2002, Montreal, Quebec, Canada
null
null
INFSYS RR-1843-02-05, Institut f. Informationssysteme, TU Wien, April 2002
cs.DS cs.CC
null
We consider the problem of dualizing a monotone CNF (equivalently, computing all minimal transversals of a hypergraph), whose associated decision problem is a prominent open problem in NP-completeness. We present a number of new polynomial time resp. output-polynomial time results for significant cases, which largely...
[ { "created": "Thu, 4 Apr 2002 19:23:49 GMT", "version": "v1" }, { "created": "Sun, 14 Apr 2002 00:25:11 GMT", "version": "v2" }, { "created": "Fri, 26 Apr 2002 10:47:18 GMT", "version": "v3" } ]
2007-05-23
[ [ "Eiter", "Thomas", "" ], [ "Gottlob", "Georg", "" ], [ "Makino", "Kazuhisa", "" ] ]
We consider the problem of dualizing a monotone CNF (equivalently, computing all minimal transversals of a hypergraph), whose associated decision problem is a prominent open problem in NP-completeness. We present a number of new polynomial time resp. output-polynomial time results for significant cases, which largely a...
2201.12347
Varun Ojha
Chandresh Pravin, Ivan Martino, Giuseppe Nicosia, Varun Ojha
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons
null
Artificial Neural Networks and Machine Learning ICANN 2021
10.1007/978-3-030-86362-3_2
null
cs.LG cs.CR
http://creativecommons.org/licenses/by/4.0/
We identify fragile and robust neurons of deep learning architectures using nodal dropouts of the first convolutional layer. Using an adversarial targeting algorithm, we correlate these neurons with the distribution of adversarial attacks on the network. Adversarial robustness of neural networks has gained significan...
[ { "created": "Mon, 31 Jan 2022 14:34:07 GMT", "version": "v1" } ]
2022-02-01
[ [ "Pravin", "Chandresh", "" ], [ "Martino", "Ivan", "" ], [ "Nicosia", "Giuseppe", "" ], [ "Ojha", "Varun", "" ] ]
We identify fragile and robust neurons of deep learning architectures using nodal dropouts of the first convolutional layer. Using an adversarial targeting algorithm, we correlate these neurons with the distribution of adversarial attacks on the network. Adversarial robustness of neural networks has gained significant ...
2109.05752
Anhad Bhati
Anhad Bhati, Sibi Raj B. Pillai, Rahul Vaze
On the Age of Information of a Queuing System with Heterogeneous Servers
6 pages, 4 figures. Appeared in NCC 2021, IIT Kanpur
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
An optimal control problem with heterogeneous servers to minimize the average age of information (AoI) is considered. Each server maintains a separate queue, and each packet arriving to the system is randomly routed to one of the servers. Assuming Poisson arrivals and exponentially distributed service times, we first...
[ { "created": "Mon, 13 Sep 2021 07:23:41 GMT", "version": "v1" }, { "created": "Tue, 14 Sep 2021 11:34:00 GMT", "version": "v2" } ]
2021-09-15
[ [ "Bhati", "Anhad", "" ], [ "Pillai", "Sibi Raj B.", "" ], [ "Vaze", "Rahul", "" ] ]
An optimal control problem with heterogeneous servers to minimize the average age of information (AoI) is considered. Each server maintains a separate queue, and each packet arriving to the system is randomly routed to one of the servers. Assuming Poisson arrivals and exponentially distributed service times, we first d...
1512.02179
Kevin P. Costello
Marek Chrobak, Kevin P. Costello
Faster Information Gathering in Ad-Hoc Radio Tree Networks
Full version; extended abstract to appear in LATIN '16
null
null
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study information gathering in ad-hoc radio networks. Initially, each node of the network has a piece of information called a rumor, and the overall objective is to gather all these rumors in the designated target node. The ad-hoc property refers to the fact that the topology of the network is unknown when the com...
[ { "created": "Mon, 7 Dec 2015 19:21:59 GMT", "version": "v1" } ]
2015-12-08
[ [ "Chrobak", "Marek", "" ], [ "Costello", "Kevin P.", "" ] ]
We study information gathering in ad-hoc radio networks. Initially, each node of the network has a piece of information called a rumor, and the overall objective is to gather all these rumors in the designated target node. The ad-hoc property refers to the fact that the topology of the network is unknown when the compu...
2107.13361
Yu Huang
Yu Huang, Gary G. Yen and Vincent S. Tseng
Snippet Policy Network for Multi-class Varied-length ECG Early Classification
null
null
null
null
cs.LG eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Arrhythmia detection from ECG is an important research subject in the prevention and diagnosis of cardiovascular diseases. The prevailing studies formulate arrhythmia detection from ECG as a time series classification problem. Meanwhile, early detection of arrhythmia presents a real-world demand for early prevention ...
[ { "created": "Wed, 28 Jul 2021 13:47:31 GMT", "version": "v1" } ]
2021-07-29
[ [ "Huang", "Yu", "" ], [ "Yen", "Gary G.", "" ], [ "Tseng", "Vincent S.", "" ] ]
Arrhythmia detection from ECG is an important research subject in the prevention and diagnosis of cardiovascular diseases. The prevailing studies formulate arrhythmia detection from ECG as a time series classification problem. Meanwhile, early detection of arrhythmia presents a real-world demand for early prevention an...
2301.03319
Vincent Vandeghinste
Vincent Vandeghinste, Oliver Guhr
FullStop:Punctuation and Segmentation Prediction for Dutch with Transformers
18 pages
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-sa/4.0/
When applying automated speech recognition (ASR) for Belgian Dutch (Van Dyck et al. 2021), the output consists of an unsegmented stream of words, without any punctuation. A next step is to perform segmentation and insert punctuation, making the ASR output more readable and easy to manually correct. As far as we know ...
[ { "created": "Mon, 9 Jan 2023 13:12:05 GMT", "version": "v1" } ]
2023-01-10
[ [ "Vandeghinste", "Vincent", "" ], [ "Guhr", "Oliver", "" ] ]
When applying automated speech recognition (ASR) for Belgian Dutch (Van Dyck et al. 2021), the output consists of an unsegmented stream of words, without any punctuation. A next step is to perform segmentation and insert punctuation, making the ASR output more readable and easy to manually correct. As far as we know th...
1806.03621
Lei Xie
Yougen Yuan, Cheung-Chi Leung, Lei Xie, Hongjie Chen, Bin Ma, Haizhou Li
Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search
5 pages, 4 figures, INTERSPEECH 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose to learn acoustic word embeddings with temporal context for query-by-example (QbE) speech search. The temporal context includes the leading and trailing word sequences of a word. We assume that there exist spoken word pairs in the training database. We pad the word pairs with their original temporal contex...
[ { "created": "Sun, 10 Jun 2018 09:40:08 GMT", "version": "v1" }, { "created": "Sun, 17 Jun 2018 07:38:18 GMT", "version": "v2" } ]
2018-06-19
[ [ "Yuan", "Yougen", "" ], [ "Leung", "Cheung-Chi", "" ], [ "Xie", "Lei", "" ], [ "Chen", "Hongjie", "" ], [ "Ma", "Bin", "" ], [ "Li", "Haizhou", "" ] ]
We propose to learn acoustic word embeddings with temporal context for query-by-example (QbE) speech search. The temporal context includes the leading and trailing word sequences of a word. We assume that there exist spoken word pairs in the training database. We pad the word pairs with their original temporal context ...
2407.03791
Florian Schneider
Florian Schneider and Sunayana Sitaram
M$\mathbf5$ -- A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Since the release of ChatGPT, the field of Natural Language Processing has experienced rapid advancements, particularly in Large Language Models (LLMs) and their multimodal counterparts, Large Multimodal Models (LMMs). Despite their impressive capabilities, LLMs often exhibit significant performance disparities acros...
[ { "created": "Thu, 4 Jul 2024 09:55:04 GMT", "version": "v1" } ]
2024-07-08
[ [ "Schneider", "Florian", "" ], [ "Sitaram", "Sunayana", "" ] ]
Since the release of ChatGPT, the field of Natural Language Processing has experienced rapid advancements, particularly in Large Language Models (LLMs) and their multimodal counterparts, Large Multimodal Models (LMMs). Despite their impressive capabilities, LLMs often exhibit significant performance disparities across ...
2407.08733
Zihao Zhou
Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
35 pages, 10 figures, preprint
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Exceptional mathematical reasoning ability is one of the key features that demonstrate the power of large language models (LLMs). How to comprehensively define and evaluate the mathematical abilities of LLMs, and even reflect the user experience in real-world scenarios, has emerged as a critical issue. Current benchm...
[ { "created": "Thu, 11 Jul 2024 17:58:58 GMT", "version": "v1" } ]
2024-07-12
[ [ "Zhou", "Zihao", "" ], [ "Liu", "Shudong", "" ], [ "Ning", "Maizhen", "" ], [ "Liu", "Wei", "" ], [ "Wang", "Jindong", "" ], [ "Wong", "Derek F.", "" ], [ "Huang", "Xiaowei", "" ], [ "Wang", "Qi...
Exceptional mathematical reasoning ability is one of the key features that demonstrate the power of large language models (LLMs). How to comprehensively define and evaluate the mathematical abilities of LLMs, and even reflect the user experience in real-world scenarios, has emerged as a critical issue. Current benchmar...
2210.12581
Pei Liu
Pei Liu, Xiaoyu Sun, Yanjie Zhao, Yonghui Liu, John Grundy, and Li Li
A First Look at CI/CD Adoptions in Open-Source Android Apps
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Continuous Integration (CI) and Continuous Delivery (CD) have been demonstrated to be effective in facilitating software building, testing, and deployment. Many research studies have investigated and subsequently improved their working processes. Unfortunately, such research efforts have largely not touched on the us...
[ { "created": "Sun, 23 Oct 2022 00:34:10 GMT", "version": "v1" } ]
2022-10-25
[ [ "Liu", "Pei", "" ], [ "Sun", "Xiaoyu", "" ], [ "Zhao", "Yanjie", "" ], [ "Liu", "Yonghui", "" ], [ "Grundy", "John", "" ], [ "Li", "Li", "" ] ]
Continuous Integration (CI) and Continuous Delivery (CD) have been demonstrated to be effective in facilitating software building, testing, and deployment. Many research studies have investigated and subsequently improved their working processes. Unfortunately, such research efforts have largely not touched on the usag...
0911.5143
MohammadHossein Bateni
MohammadHossein Bateni and MohammadTaghi Hajiaghayi and D\'aniel Marx
Approximation Schemes for Steiner Forest on Planar Graphs and Graphs of Bounded Treewidth
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give the first polynomial-time approximation scheme (PTAS) for the Steiner forest problem on planar graphs and, more generally, on graphs of bounded genus. As a first step, we show how to build a Steiner forest spanner for such graphs. The crux of the process is a clustering procedure called prize-collecting clust...
[ { "created": "Thu, 26 Nov 2009 19:19:53 GMT", "version": "v1" } ]
2009-11-30
[ [ "Bateni", "MohammadHossein", "" ], [ "Hajiaghayi", "MohammadTaghi", "" ], [ "Marx", "Dániel", "" ] ]
We give the first polynomial-time approximation scheme (PTAS) for the Steiner forest problem on planar graphs and, more generally, on graphs of bounded genus. As a first step, we show how to build a Steiner forest spanner for such graphs. The crux of the process is a clustering procedure called prize-collecting cluster...
1009.4566
S. M. Kamruzzaman
S. M. Kamruzzaman and Md. Monirul Islam
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
19 Pages, Internatiomal Journal
International Journal of Information Technology (IJIT), Vol. 12, No. 8, pp. 41-59, 2006
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict better than decision trees for pattern classification problems, ANNs are often regarded as black boxes since their predictions cannot be explai...
[ { "created": "Thu, 23 Sep 2010 10:30:55 GMT", "version": "v1" } ]
2010-09-28
[ [ "Kamruzzaman", "S. M.", "" ], [ "Islam", "Md. Monirul", "" ] ]
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict better than decision trees for pattern classification problems, ANNs are often regarded as black boxes since their predictions cannot be explaine...
1804.08064
Young-Bum Kim
Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim, Ruhi Sarikaya
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding
Accepted to NAACL 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Intelligent personal digital assistants (IPDAs), a popular real-life application with spoken language understanding capabilities, can cover potentially thousands of overlapping domains for natural language understanding, and the task of finding the best domain to handle an utterance becomes a challenging problem on a...
[ { "created": "Sun, 22 Apr 2018 03:56:39 GMT", "version": "v1" } ]
2018-04-24
[ [ "Kim", "Young-Bum", "" ], [ "Kim", "Dongchan", "" ], [ "Kim", "Joo-Kyung", "" ], [ "Sarikaya", "Ruhi", "" ] ]
Intelligent personal digital assistants (IPDAs), a popular real-life application with spoken language understanding capabilities, can cover potentially thousands of overlapping domains for natural language understanding, and the task of finding the best domain to handle an utterance becomes a challenging problem on a l...
1510.05681
Rodrigo de Souza Couto
Rodrigo de Souza Couto, Stefano Secci, Miguel Elias Mitre Campista, Lu\'is Henrique Maciel Kosmalski Costa
Server Placement with Shared Backups for Disaster-Resilient Clouds
Computer Networks 2015
null
10.1016/j.comnet.2015.09.039
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A key strategy to build disaster-resilient clouds is to employ backups of virtual machines in a geo-distributed infrastructure. Today, the continuous and acknowledged replication of virtual machines in different servers is a service provided by different hypervisors. This strategy guarantees that the virtual machines...
[ { "created": "Mon, 19 Oct 2015 20:45:38 GMT", "version": "v1" } ]
2015-10-21
[ [ "Couto", "Rodrigo de Souza", "" ], [ "Secci", "Stefano", "" ], [ "Campista", "Miguel Elias Mitre", "" ], [ "Costa", "Luís Henrique Maciel Kosmalski", "" ] ]
A key strategy to build disaster-resilient clouds is to employ backups of virtual machines in a geo-distributed infrastructure. Today, the continuous and acknowledged replication of virtual machines in different servers is a service provided by different hypervisors. This strategy guarantees that the virtual machines w...
1804.00516
Anabel G\'omez-R\'ios
Anabel G\'omez-R\'ios, Siham Tabik, Juli\'an Luengo, ASM Shihavuddin, Bartosz Krawczyk and Francisco Herrera
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation
22 pages, 10 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recognition of coral species based on underwater texture images pose a significant difficulty for machine learning algorithms, due to the three following challenges embedded in the nature of this data: 1) datasets do not include information about the global structure of the coral; 2) several species of coral have...
[ { "created": "Tue, 27 Mar 2018 12:05:12 GMT", "version": "v1" } ]
2018-04-03
[ [ "Gómez-Ríos", "Anabel", "" ], [ "Tabik", "Siham", "" ], [ "Luengo", "Julián", "" ], [ "Shihavuddin", "ASM", "" ], [ "Krawczyk", "Bartosz", "" ], [ "Herrera", "Francisco", "" ] ]
The recognition of coral species based on underwater texture images pose a significant difficulty for machine learning algorithms, due to the three following challenges embedded in the nature of this data: 1) datasets do not include information about the global structure of the coral; 2) several species of coral have v...
1602.08777
Martin Strohmeier
Martin Strohmeier, Matthias Sch\"afer, Rui Pinheiro, Vincent Lenders, Ivan Martinovic
On Perception and Reality in Wireless Air Traffic Communications Security
20 pages, 5 figures, 7 tables
null
10.1109/TITS.2016.2612584
null
cs.CR cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
More than a dozen wireless technologies are used by air traffic communication systems during different flight phases. From a conceptual perspective, all of them are insecure as security was never part of their design. Recent contributions from academic and hacking communities have exploited this inherent vulnerabilit...
[ { "created": "Sun, 28 Feb 2016 22:25:20 GMT", "version": "v1" }, { "created": "Tue, 1 Mar 2016 15:26:03 GMT", "version": "v2" }, { "created": "Mon, 24 Oct 2016 17:00:40 GMT", "version": "v3" } ]
2016-11-21
[ [ "Strohmeier", "Martin", "" ], [ "Schäfer", "Matthias", "" ], [ "Pinheiro", "Rui", "" ], [ "Lenders", "Vincent", "" ], [ "Martinovic", "Ivan", "" ] ]
More than a dozen wireless technologies are used by air traffic communication systems during different flight phases. From a conceptual perspective, all of them are insecure as security was never part of their design. Recent contributions from academic and hacking communities have exploited this inherent vulnerability ...
2309.11018
Nastaran Darabi
Domenico Parente, Nastaran Darabi, Alex C. Stutts, Theja Tulabandhula, and Amit Ranjan Trivedi
Conformalized Multimodal Uncertainty Regression and Reasoning
null
null
null
null
cs.LG cs.CV cs.RO
http://creativecommons.org/licenses/by/4.0/
This paper introduces a lightweight uncertainty estimator capable of predicting multimodal (disjoint) uncertainty bounds by integrating conformal prediction with a deep-learning regressor. We specifically discuss its application for visual odometry (VO), where environmental features such as flying domain symmetries a...
[ { "created": "Wed, 20 Sep 2023 02:40:59 GMT", "version": "v1" } ]
2023-09-21
[ [ "Parente", "Domenico", "" ], [ "Darabi", "Nastaran", "" ], [ "Stutts", "Alex C.", "" ], [ "Tulabandhula", "Theja", "" ], [ "Trivedi", "Amit Ranjan", "" ] ]
This paper introduces a lightweight uncertainty estimator capable of predicting multimodal (disjoint) uncertainty bounds by integrating conformal prediction with a deep-learning regressor. We specifically discuss its application for visual odometry (VO), where environmental features such as flying domain symmetries and...