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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1412.8339 | Charith Perera | Charith Perera, Rajiv Ranjan, Lizhe Wang, Samee U. Khan, and Albert Y.
Zomaya | Big Data Privacy in the Internet of Things Era | Accepted to be published in IEEE IT Professional Magazine: Special
Issue Internet of Anything 2015 | null | 10.1109/MITP.2015.34 | null | cs.CY cs.DB cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Over the last few years, we have seen a plethora of Internet of Things (IoT)
solutions, products and services, making their way into the industry's
market-place. All such solution will capture a large amount of data pertaining
to the environment, as well as their users. The objective of the IoT is to
learn more and t... | [
{
"created": "Mon, 29 Dec 2014 13:45:13 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jun 2015 09:18:53 GMT",
"version": "v2"
}
] | 2016-11-17 | [
[
"Perera",
"Charith",
""
],
[
"Ranjan",
"Rajiv",
""
],
[
"Wang",
"Lizhe",
""
],
[
"Khan",
"Samee U.",
""
],
[
"Zomaya",
"Albert Y.",
""
]
] | Over the last few years, we have seen a plethora of Internet of Things (IoT) solutions, products and services, making their way into the industry's market-place. All such solution will capture a large amount of data pertaining to the environment, as well as their users. The objective of the IoT is to learn more and to ... |
2301.00252 | Keke Chen | Sagar Sharma and Yuechun Gu and Keke Chen | A Comparative Study of Image Disguising Methods for Confidential
Outsourced Learning | null | null | null | null | cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Large training data and expensive model tweaking are standard features of
deep learning for images. As a result, data owners often utilize cloud
resources to develop large-scale complex models, which raises privacy concerns.
Existing solutions are either too expensive to be practical or do not
sufficiently protect th... | [
{
"created": "Sat, 31 Dec 2022 16:59:54 GMT",
"version": "v1"
}
] | 2023-01-03 | [
[
"Sharma",
"Sagar",
""
],
[
"Gu",
"Yuechun",
""
],
[
"Chen",
"Keke",
""
]
] | Large training data and expensive model tweaking are standard features of deep learning for images. As a result, data owners often utilize cloud resources to develop large-scale complex models, which raises privacy concerns. Existing solutions are either too expensive to be practical or do not sufficiently protect the ... |
1803.06015 | Sara Cohen | Sara Cohen and Aviv Zohar | Database Perspectives on Blockchains | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern blockchain systems are a fresh look at the paradigm of distributed
computing, applied under assumptions of large-scale public networks. They can
be used to store and share information without a trusted central party. There
has been much effort to develop blockchain systems for a myriad of uses,
ranging from cr... | [
{
"created": "Thu, 15 Mar 2018 21:58:39 GMT",
"version": "v1"
}
] | 2018-03-19 | [
[
"Cohen",
"Sara",
""
],
[
"Zohar",
"Aviv",
""
]
] | Modern blockchain systems are a fresh look at the paradigm of distributed computing, applied under assumptions of large-scale public networks. They can be used to store and share information without a trusted central party. There has been much effort to develop blockchain systems for a myriad of uses, ranging from cryp... |
2403.10778 | Zheng Shuchen | Shibiao Xu, ShuChen Zheng, Wenhao Xu, Rongtao Xu, Changwei Wang,
Jiguang Zhang, Xiaoqiang Teng, Ao Li, Li Guo | HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object
Detection | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Infrared small object detection is an important computer vision task
involving the recognition and localization of tiny objects in infrared images,
which usually contain only a few pixels. However, it encounters difficulties
due to the diminutive size of the objects and the generally complex backgrounds
in infrared i... | [
{
"created": "Sat, 16 Mar 2024 02:45:42 GMT",
"version": "v1"
}
] | 2024-03-19 | [
[
"Xu",
"Shibiao",
""
],
[
"Zheng",
"ShuChen",
""
],
[
"Xu",
"Wenhao",
""
],
[
"Xu",
"Rongtao",
""
],
[
"Wang",
"Changwei",
""
],
[
"Zhang",
"Jiguang",
""
],
[
"Teng",
"Xiaoqiang",
""
],
[
"Li",
"... | Infrared small object detection is an important computer vision task involving the recognition and localization of tiny objects in infrared images, which usually contain only a few pixels. However, it encounters difficulties due to the diminutive size of the objects and the generally complex backgrounds in infrared ima... |
2001.03844 | Jinlan Fu | Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang | Rethinking Generalization of Neural Models: A Named Entity Recognition
Case Study | Accepted by AAAI 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | While neural network-based models have achieved impressive performance on a
large body of NLP tasks, the generalization behavior of different models
remains poorly understood: Does this excellent performance imply a perfect
generalization model, or are there still some limitations? In this paper, we
take the NER task... | [
{
"created": "Sun, 12 Jan 2020 04:33:53 GMT",
"version": "v1"
}
] | 2020-01-14 | [
[
"Fu",
"Jinlan",
""
],
[
"Liu",
"Pengfei",
""
],
[
"Zhang",
"Qi",
""
],
[
"Huang",
"Xuanjing",
""
]
] | While neural network-based models have achieved impressive performance on a large body of NLP tasks, the generalization behavior of different models remains poorly understood: Does this excellent performance imply a perfect generalization model, or are there still some limitations? In this paper, we take the NER task a... |
1711.07657 | Peng Yin | Peng Yin, Yuqing He, Na Liu and Jianda Han | Condition directed Multi-domain Adversarial Learning for Loop Closure
Detection | 7 pages, 11 figures, 3 tables, submitted to ICRA 2018 | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Loop closure detection (LCD) is the key module in appearance based
simultaneously localization and mapping (SLAM). However, in the real life, the
appearance of visual inputs are usually affected by the illumination changes
and texture changes under different weather conditions. Traditional methods in
LCD usually rely... | [
{
"created": "Tue, 21 Nov 2017 07:28:36 GMT",
"version": "v1"
}
] | 2017-11-22 | [
[
"Yin",
"Peng",
""
],
[
"He",
"Yuqing",
""
],
[
"Liu",
"Na",
""
],
[
"Han",
"Jianda",
""
]
] | Loop closure detection (LCD) is the key module in appearance based simultaneously localization and mapping (SLAM). However, in the real life, the appearance of visual inputs are usually affected by the illumination changes and texture changes under different weather conditions. Traditional methods in LCD usually rely o... |
2301.01420 | Yingqiang Qiu | Yingqiang Qiu, Wanli Peng, Xiaodan Lin, Huanqiang Zeng, Zhenxing Qian | Improved CNN Prediction Based Reversible Data Hiding | null | null | null | null | cs.MM eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This letter proposes an improved CNN predictor (ICNNP) for reversible data
hiding (RDH) in images, which consists of a feature extraction module, a pixel
prediction module, and a complexity prediction module. Due to predicting the
complexity of each pixel with the ICNNP during the embedding process, the
proposed meth... | [
{
"created": "Wed, 4 Jan 2023 03:15:21 GMT",
"version": "v1"
}
] | 2023-01-05 | [
[
"Qiu",
"Yingqiang",
""
],
[
"Peng",
"Wanli",
""
],
[
"Lin",
"Xiaodan",
""
],
[
"Zeng",
"Huanqiang",
""
],
[
"Qian",
"Zhenxing",
""
]
] | This letter proposes an improved CNN predictor (ICNNP) for reversible data hiding (RDH) in images, which consists of a feature extraction module, a pixel prediction module, and a complexity prediction module. Due to predicting the complexity of each pixel with the ICNNP during the embedding process, the proposed method... |
1211.6496 | Naushad UzZaman Naushad UzZaman | Naushad UzZaman, Roi Blanco, Michael Matthews | TwitterPaul: Extracting and Aggregating Twitter Predictions | Check out the blog post with a summary and Prediction Retrieval
information here: http://bitly.com/TwitterPaul | null | null | null | cs.SI cs.AI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces TwitterPaul, a system designed to make use of Social
Media data to help to predict game outcomes for the 2010 FIFA World Cup
tournament. To this end, we extracted over 538K mentions to football games from
a large sample of tweets that occurred during the World Cup, and we classified
into differe... | [
{
"created": "Wed, 28 Nov 2012 01:33:21 GMT",
"version": "v1"
},
{
"created": "Fri, 30 Nov 2012 16:55:53 GMT",
"version": "v2"
}
] | 2015-03-13 | [
[
"UzZaman",
"Naushad",
""
],
[
"Blanco",
"Roi",
""
],
[
"Matthews",
"Michael",
""
]
] | This paper introduces TwitterPaul, a system designed to make use of Social Media data to help to predict game outcomes for the 2010 FIFA World Cup tournament. To this end, we extracted over 538K mentions to football games from a large sample of tweets that occurred during the World Cup, and we classified into different... |
1805.06741 | Xin Wei | Xin Wei, Hui Wang, Bryan Scotney and Huan Wan | Minimum Margin Loss for Deep Face Recognition | null | null | 10.1016/j.patcog.2019.107012 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Face recognition has achieved great progress owing to the fast development of
the deep neural network in the past a few years. As an important part of deep
neural networks, a number of the loss functions have been proposed which
significantly improve the state-of-the-art methods. In this paper, we proposed
a new loss... | [
{
"created": "Thu, 17 May 2018 13:02:23 GMT",
"version": "v1"
},
{
"created": "Wed, 23 May 2018 09:46:43 GMT",
"version": "v2"
},
{
"created": "Mon, 2 Jul 2018 09:28:28 GMT",
"version": "v3"
},
{
"created": "Mon, 20 Aug 2018 15:27:51 GMT",
"version": "v4"
}
] | 2020-02-05 | [
[
"Wei",
"Xin",
""
],
[
"Wang",
"Hui",
""
],
[
"Scotney",
"Bryan",
""
],
[
"Wan",
"Huan",
""
]
] | Face recognition has achieved great progress owing to the fast development of the deep neural network in the past a few years. As an important part of deep neural networks, a number of the loss functions have been proposed which significantly improve the state-of-the-art methods. In this paper, we proposed a new loss f... |
1706.06813 | Jindan Xu | Jindan Xu, Wei Xu, Fengkui Gong | On Performance of Quantized Transceiver in Multiuser Massive MIMO
Downlinks | 4 pages, 4 figures, submitted to IEEE Wireless Communications Letters | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Low-resolution digital-to-analog converters (DACs) and analog-to-digital
converters (ADCs) are considered to reduce cost and power consumption in
multiuser massive multiple-input multiple-output (MIMO). Using the Bussgang
theorem, we derive the asymptotic downlink achievable rate w.r.t the
resolutions of both DACs an... | [
{
"created": "Wed, 21 Jun 2017 10:04:35 GMT",
"version": "v1"
}
] | 2017-06-22 | [
[
"Xu",
"Jindan",
""
],
[
"Xu",
"Wei",
""
],
[
"Gong",
"Fengkui",
""
]
] | Low-resolution digital-to-analog converters (DACs) and analog-to-digital converters (ADCs) are considered to reduce cost and power consumption in multiuser massive multiple-input multiple-output (MIMO). Using the Bussgang theorem, we derive the asymptotic downlink achievable rate w.r.t the resolutions of both DACs and ... |
1305.5827 | Monica Shekhar | Monica Shekhar and Saravanaguru RA. K | Semantic Web Search based on Ontology Modeling using Protege Reasoner | null | null | null | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Semantic Web works on the existing Web which presents the meaning of
information as well-defined vocabularies understood by the people. Semantic
Search, at the same time, works on improving the accuracy if a search by
understanding the intent of the search and providing contextually relevant
results. This paper d... | [
{
"created": "Fri, 24 May 2013 19:02:59 GMT",
"version": "v1"
}
] | 2013-05-27 | [
[
"Shekhar",
"Monica",
""
],
[
"K",
"Saravanaguru RA.",
""
]
] | The Semantic Web works on the existing Web which presents the meaning of information as well-defined vocabularies understood by the people. Semantic Search, at the same time, works on improving the accuracy if a search by understanding the intent of the search and providing contextually relevant results. This paper des... |
2402.15089 | Yifei Li | Yifei Li, Xiang Yue, Zeyi Liao, Huan Sun | AttributionBench: How Hard is Automatic Attribution Evaluation? | null | null | null | null | cs.CL cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Modern generative search engines enhance the reliability of large language
model (LLM) responses by providing cited evidence. However, evaluating the
answer's attribution, i.e., whether every claim within the generated responses
is fully supported by its cited evidence, remains an open problem. This
verification, tra... | [
{
"created": "Fri, 23 Feb 2024 04:23:33 GMT",
"version": "v1"
}
] | 2024-02-26 | [
[
"Li",
"Yifei",
""
],
[
"Yue",
"Xiang",
""
],
[
"Liao",
"Zeyi",
""
],
[
"Sun",
"Huan",
""
]
] | Modern generative search engines enhance the reliability of large language model (LLM) responses by providing cited evidence. However, evaluating the answer's attribution, i.e., whether every claim within the generated responses is fully supported by its cited evidence, remains an open problem. This verification, tradi... |
2106.02775 | Justin Yang | Justin Yang and Judith E. Fan | Visual communication of object concepts at different levels of
abstraction | To appear in Proceedings of the 43rd Annual Meeting of the Cognitive
Science Society. 7 pages, 5 figures | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | People can produce drawings of specific entities (e.g., Garfield), as well as
general categories (e.g., "cat"). What explains this ability to produce such
varied drawings of even highly familiar object concepts? We hypothesized that
drawing objects at different levels of abstraction depends on both sensory
informatio... | [
{
"created": "Sat, 5 Jun 2021 02:13:31 GMT",
"version": "v1"
}
] | 2021-06-08 | [
[
"Yang",
"Justin",
""
],
[
"Fan",
"Judith E.",
""
]
] | People can produce drawings of specific entities (e.g., Garfield), as well as general categories (e.g., "cat"). What explains this ability to produce such varied drawings of even highly familiar object concepts? We hypothesized that drawing objects at different levels of abstraction depends on both sensory information ... |
1207.2243 | Marina Yashina | Alexei Yu. Uteshev and Marina V. Yashina | Metric Problems for Quadrics in Multidimensional Space | 21 pages, 1 figure | null | null | null | cs.SC math.AG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Given the equations of the first and the second order surfaces in
multidimensional space, our goal is to construct a univariate polynomial one of
the zeros of which coincides with the square of the distance between these
surfaces. To achieve this goal we employ Elimination Theory methods. The
proposed approach is als... | [
{
"created": "Tue, 10 Jul 2012 07:03:36 GMT",
"version": "v1"
}
] | 2012-07-11 | [
[
"Uteshev",
"Alexei Yu.",
""
],
[
"Yashina",
"Marina V.",
""
]
] | Given the equations of the first and the second order surfaces in multidimensional space, our goal is to construct a univariate polynomial one of the zeros of which coincides with the square of the distance between these surfaces. To achieve this goal we employ Elimination Theory methods. The proposed approach is also ... |
2405.15005 | Julia Di | Tony G. Chen, Julia Di, Stephanie Newdick, Mathieu Lapotre, Marco
Pavone, Mark R. Cutkosky | ReachBot Field Tests in a Mojave Desert Lava Tube as a Martian Analog | Accepted to the IEEE ICRA Workshop on Field Robotics 2024; 4 pages | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | ReachBot is a robot concept for the planetary exploration of caves and lava
tubes, which are often inaccessible with traditional robot locomotion methods.
It uses extendable booms as appendages, with grippers mounted at the end, to
grasp irregular rock surfaces and traverse these difficult terrains. We have
built a p... | [
{
"created": "Thu, 23 May 2024 19:22:59 GMT",
"version": "v1"
}
] | 2024-05-27 | [
[
"Chen",
"Tony G.",
""
],
[
"Di",
"Julia",
""
],
[
"Newdick",
"Stephanie",
""
],
[
"Lapotre",
"Mathieu",
""
],
[
"Pavone",
"Marco",
""
],
[
"Cutkosky",
"Mark R.",
""
]
] | ReachBot is a robot concept for the planetary exploration of caves and lava tubes, which are often inaccessible with traditional robot locomotion methods. It uses extendable booms as appendages, with grippers mounted at the end, to grasp irregular rock surfaces and traverse these difficult terrains. We have built a par... |
2309.14735 | Shubham Kumar Nigam | Shubham Kumar Nigam, Shubham Kumar Mishra, Ayush Kumar Mishra, Noel
Shallum and Arnab Bhattacharya | Legal Question-Answering in the Indian Context: Efficacy, Challenges,
and Potential of Modern AI Models | null | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Legal QA platforms bear the promise to metamorphose the manner in which legal
experts engage with jurisprudential documents. In this exposition, we embark on
a comparative exploration of contemporary AI frameworks, gauging their
adeptness in catering to the unique demands of the Indian legal milieu, with a
keen empha... | [
{
"created": "Tue, 26 Sep 2023 07:56:55 GMT",
"version": "v1"
},
{
"created": "Mon, 16 Oct 2023 04:40:18 GMT",
"version": "v2"
}
] | 2023-10-17 | [
[
"Nigam",
"Shubham Kumar",
""
],
[
"Mishra",
"Shubham Kumar",
""
],
[
"Mishra",
"Ayush Kumar",
""
],
[
"Shallum",
"Noel",
""
],
[
"Bhattacharya",
"Arnab",
""
]
] | Legal QA platforms bear the promise to metamorphose the manner in which legal experts engage with jurisprudential documents. In this exposition, we embark on a comparative exploration of contemporary AI frameworks, gauging their adeptness in catering to the unique demands of the Indian legal milieu, with a keen emphasi... |
2211.13515 | Yueqing Sun | Yueqing Sun, Yu Zhang, Le Qi, Qi Shi | TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense
Question Answering | Findings of EMNLP2022 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unsupervised commonsense question answering requires mining effective
commonsense knowledge without the rely on the labeled task data. Previous
methods typically retrieved from traditional knowledge bases or used
pre-trained language models (PrLMs) to generate fixed types of knowledge, which
have poor generalization ... | [
{
"created": "Thu, 24 Nov 2022 10:19:24 GMT",
"version": "v1"
}
] | 2022-11-28 | [
[
"Sun",
"Yueqing",
""
],
[
"Zhang",
"Yu",
""
],
[
"Qi",
"Le",
""
],
[
"Shi",
"Qi",
""
]
] | Unsupervised commonsense question answering requires mining effective commonsense knowledge without the rely on the labeled task data. Previous methods typically retrieved from traditional knowledge bases or used pre-trained language models (PrLMs) to generate fixed types of knowledge, which have poor generalization ab... |
2204.04914 | Han Wu | Han Wu, Haochen Tan, Kun Xu, Shuqi Liu, Lianwei Wu and Linqi Song | Zero-shot Cross-lingual Conversational Semantic Role Labeling | NAACL 2022 findings | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | While conversational semantic role labeling (CSRL) has shown its usefulness
on Chinese conversational tasks, it is still under-explored in non-Chinese
languages due to the lack of multilingual CSRL annotations for the parser
training. To avoid expensive data collection and error-propagation of
translation-based metho... | [
{
"created": "Mon, 11 Apr 2022 07:29:39 GMT",
"version": "v1"
}
] | 2022-04-12 | [
[
"Wu",
"Han",
""
],
[
"Tan",
"Haochen",
""
],
[
"Xu",
"Kun",
""
],
[
"Liu",
"Shuqi",
""
],
[
"Wu",
"Lianwei",
""
],
[
"Song",
"Linqi",
""
]
] | While conversational semantic role labeling (CSRL) has shown its usefulness on Chinese conversational tasks, it is still under-explored in non-Chinese languages due to the lack of multilingual CSRL annotations for the parser training. To avoid expensive data collection and error-propagation of translation-based methods... |
2402.00881 | Nour Kouzayha | Adilya Bakambekova, Nour Kouzayha and Tareq Al-Naffouri | On the Interplay of Artificial Intelligence and Space-Air-Ground
Integrated Networks: A Survey | null | null | null | null | cs.NI cs.AI | http://creativecommons.org/licenses/by/4.0/ | Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and
aerial networks with terrestrial wireless systems, are vital enablers of the
emerging sixth-generation (6G) wireless networks. Besides bringing significant
benefits to various applications and services, SAGINs are envisioned to extend
high-spe... | [
{
"created": "Sat, 20 Jan 2024 16:10:31 GMT",
"version": "v1"
}
] | 2024-02-05 | [
[
"Bakambekova",
"Adilya",
""
],
[
"Kouzayha",
"Nour",
""
],
[
"Al-Naffouri",
"Tareq",
""
]
] | Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and aerial networks with terrestrial wireless systems, are vital enablers of the emerging sixth-generation (6G) wireless networks. Besides bringing significant benefits to various applications and services, SAGINs are envisioned to extend high-speed... |
2312.01531 | Benran Hu | Yichen Liu, Benran Hu, Chi-Keung Tang, Yu-Wing Tai | SANeRF-HQ: Segment Anything for NeRF in High Quality | Accepted to CVPR 2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Recently, the Segment Anything Model (SAM) has showcased remarkable
capabilities of zero-shot segmentation, while NeRF (Neural Radiance Fields) has
gained popularity as a method for various 3D problems beyond novel view
synthesis. Though there exist initial attempts to incorporate these two methods
into 3D segmentati... | [
{
"created": "Sun, 3 Dec 2023 23:09:38 GMT",
"version": "v1"
},
{
"created": "Sat, 6 Apr 2024 07:04:29 GMT",
"version": "v2"
}
] | 2024-04-09 | [
[
"Liu",
"Yichen",
""
],
[
"Hu",
"Benran",
""
],
[
"Tang",
"Chi-Keung",
""
],
[
"Tai",
"Yu-Wing",
""
]
] | Recently, the Segment Anything Model (SAM) has showcased remarkable capabilities of zero-shot segmentation, while NeRF (Neural Radiance Fields) has gained popularity as a method for various 3D problems beyond novel view synthesis. Though there exist initial attempts to incorporate these two methods into 3D segmentation... |
2103.03912 | Albert Dulian | Albert Dulian, John C. Murray | Multi-modal anticipation of stochastic trajectories in a dynamic
environment with Conditional Variational Autoencoders | null | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Forecasting short-term motion of nearby vehicles presents an inherently
challenging issue as the space of their possible future movements is not
strictly limited to a set of single trajectories. Recently proposed techniques
that demonstrate plausible results concentrate primarily on forecasting a fixed
number of dete... | [
{
"created": "Fri, 5 Mar 2021 19:38:26 GMT",
"version": "v1"
}
] | 2021-03-09 | [
[
"Dulian",
"Albert",
""
],
[
"Murray",
"John C.",
""
]
] | Forecasting short-term motion of nearby vehicles presents an inherently challenging issue as the space of their possible future movements is not strictly limited to a set of single trajectories. Recently proposed techniques that demonstrate plausible results concentrate primarily on forecasting a fixed number of determ... |
2211.07716 | David Biesner | David Biesner, Maren Pielka, Rajkumar Ramamurthy, Tim Dilmaghani,
Bernd Kliem, R\"udiger Loitz, Rafet Sifa | Zero-Shot Text Matching for Automated Auditing using Sentence
Transformers | To be published in proceedings of IEEE International Conference on
Machine Learning Applications IEEE ICMLA 2022 | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Natural language processing methods have several applications in automated
auditing, including document or passage classification, information retrieval,
and question answering. However, training such models requires a large amount
of annotated data which is scarce in industrial settings. At the same time,
techniques... | [
{
"created": "Fri, 28 Oct 2022 11:52:16 GMT",
"version": "v1"
}
] | 2022-11-16 | [
[
"Biesner",
"David",
""
],
[
"Pielka",
"Maren",
""
],
[
"Ramamurthy",
"Rajkumar",
""
],
[
"Dilmaghani",
"Tim",
""
],
[
"Kliem",
"Bernd",
""
],
[
"Loitz",
"Rüdiger",
""
],
[
"Sifa",
"Rafet",
""
]
] | Natural language processing methods have several applications in automated auditing, including document or passage classification, information retrieval, and question answering. However, training such models requires a large amount of annotated data which is scarce in industrial settings. At the same time, techniques l... |
2208.02541 | Chenjie Cao | Chenjie Cao, Xinlin Ren, Yanwei Fu | MVSFormer: Multi-View Stereo by Learning Robust Image Features and
Temperature-based Depth | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Feature representation learning is the key recipe for learning-based
Multi-View Stereo (MVS). As the common feature extractor of learning-based MVS,
vanilla Feature Pyramid Networks (FPNs) suffer from discouraged feature
representations for reflection and texture-less areas, which limits the
generalization of MVS. Ev... | [
{
"created": "Thu, 4 Aug 2022 09:17:30 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Aug 2022 16:49:16 GMT",
"version": "v2"
},
{
"created": "Fri, 16 Dec 2022 13:42:24 GMT",
"version": "v3"
}
] | 2022-12-19 | [
[
"Cao",
"Chenjie",
""
],
[
"Ren",
"Xinlin",
""
],
[
"Fu",
"Yanwei",
""
]
] | Feature representation learning is the key recipe for learning-based Multi-View Stereo (MVS). As the common feature extractor of learning-based MVS, vanilla Feature Pyramid Networks (FPNs) suffer from discouraged feature representations for reflection and texture-less areas, which limits the generalization of MVS. Even... |
1707.08101 | Andreas Eitel | Andreas Eitel, Nico Hauff and Wolfram Burgard | Learning to Singulate Objects using a Push Proposal Network | International Symposium on Robotics Research (ISRR) 2017, videos:
http://robotpush.cs.uni-freiburg.de | null | null | null | cs.RO cs.LG cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Learning to act in unstructured environments, such as cluttered piles of
objects, poses a substantial challenge for manipulation robots. We present a
novel neural network-based approach that separates unknown objects in clutter
by selecting favourable push actions. Our network is trained from data
collected through a... | [
{
"created": "Tue, 25 Jul 2017 17:36:36 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Feb 2018 18:42:35 GMT",
"version": "v2"
}
] | 2018-02-06 | [
[
"Eitel",
"Andreas",
""
],
[
"Hauff",
"Nico",
""
],
[
"Burgard",
"Wolfram",
""
]
] | Learning to act in unstructured environments, such as cluttered piles of objects, poses a substantial challenge for manipulation robots. We present a novel neural network-based approach that separates unknown objects in clutter by selecting favourable push actions. Our network is trained from data collected through aut... |
1203.4900 | Michael Kapralov | Ashish Goel and Michael Kapralov and Ian Post | Single pass sparsification in the streaming model with edge deletions | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we give a construction of cut sparsifiers of Benczur and Karger
in the {\em dynamic} streaming setting in a single pass over the data stream.
Previous constructions either required multiple passes or were unable to handle
edge deletions. We use $\tilde{O}(1/\e^2)$ time for each stream update and
$\tilde... | [
{
"created": "Thu, 22 Mar 2012 07:45:13 GMT",
"version": "v1"
}
] | 2012-03-23 | [
[
"Goel",
"Ashish",
""
],
[
"Kapralov",
"Michael",
""
],
[
"Post",
"Ian",
""
]
] | In this paper we give a construction of cut sparsifiers of Benczur and Karger in the {\em dynamic} streaming setting in a single pass over the data stream. Previous constructions either required multiple passes or were unable to handle edge deletions. We use $\tilde{O}(1/\e^2)$ time for each stream update and $\tilde{O... |
1608.06014 | Yun Wang | Yun Wang and Peter J. Ramadge | The Symmetry of a Simple Optimization Problem in Lasso Screening | null | null | null | null | cs.LG cs.AI cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recently dictionary screening has been proposed as an effective way to
improve the computational efficiency of solving the lasso problem, which is one
of the most commonly used method for learning sparse representations. To
address today's ever increasing large dataset, effective screening relies on a
tight region bo... | [
{
"created": "Sun, 21 Aug 2016 23:48:43 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Aug 2016 22:05:24 GMT",
"version": "v2"
}
] | 2016-08-29 | [
[
"Wang",
"Yun",
""
],
[
"Ramadge",
"Peter J.",
""
]
] | Recently dictionary screening has been proposed as an effective way to improve the computational efficiency of solving the lasso problem, which is one of the most commonly used method for learning sparse representations. To address today's ever increasing large dataset, effective screening relies on a tight region boun... |
2402.01111 | Dan Qiao | Dan Qiao, Yu-Xiang Wang | Near-Optimal Reinforcement Learning with Self-Play under Adaptivity
Constraints | null | null | null | null | cs.LG cs.AI cs.MA stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of multi-agent reinforcement learning (MARL) with
adaptivity constraints -- a new problem motivated by real-world applications
where deployments of new policies are costly and the number of policy updates
must be minimized. For two-player zero-sum Markov Games, we design a (policy)
elimination ba... | [
{
"created": "Fri, 2 Feb 2024 03:00:40 GMT",
"version": "v1"
}
] | 2024-02-05 | [
[
"Qiao",
"Dan",
""
],
[
"Wang",
"Yu-Xiang",
""
]
] | We study the problem of multi-agent reinforcement learning (MARL) with adaptivity constraints -- a new problem motivated by real-world applications where deployments of new policies are costly and the number of policy updates must be minimized. For two-player zero-sum Markov Games, we design a (policy) elimination base... |
2012.11260 | Mengshi Qi | Mengshi Qi, Edoardo Remelli, Mathieu Salzmann, Pascal Fua | Unsupervised Domain Adaptation with Temporal-Consistent Self-Training
for 3D Hand-Object Joint Reconstruction | In submission | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Deep learning-solutions for hand-object 3D pose and shape estimation are now
very effective when an annotated dataset is available to train them to handle
the scenarios and lighting conditions they will encounter at test time.
Unfortunately, this is not always the case, and one often has to resort to
training them on... | [
{
"created": "Mon, 21 Dec 2020 11:27:56 GMT",
"version": "v1"
}
] | 2020-12-22 | [
[
"Qi",
"Mengshi",
""
],
[
"Remelli",
"Edoardo",
""
],
[
"Salzmann",
"Mathieu",
""
],
[
"Fua",
"Pascal",
""
]
] | Deep learning-solutions for hand-object 3D pose and shape estimation are now very effective when an annotated dataset is available to train them to handle the scenarios and lighting conditions they will encounter at test time. Unfortunately, this is not always the case, and one often has to resort to training them on s... |
2105.13810 | Benjamin Maschler | Benjamin Lindemann, Benjamin Maschler, Nada Sahlab, and Michael
Weyrich | A Survey on Anomaly Detection for Technical Systems using LSTM Networks | 14 pages, 6 figures, 4 tables. Accepted for publication by Computers
in Industry | null | 10.1016/j.compind.2021.103498 | null | cs.LG cs.AI stat.ML | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Anomalies represent deviations from the intended system operation and can
lead to decreased efficiency as well as partial or complete system failure. As
the causes of anomalies are often unknown due to complex system dynamics,
efficient anomaly detection is necessary. Conventional detection approaches
rely on statist... | [
{
"created": "Fri, 28 May 2021 13:24:40 GMT",
"version": "v1"
}
] | 2021-08-31 | [
[
"Lindemann",
"Benjamin",
""
],
[
"Maschler",
"Benjamin",
""
],
[
"Sahlab",
"Nada",
""
],
[
"Weyrich",
"Michael",
""
]
] | Anomalies represent deviations from the intended system operation and can lead to decreased efficiency as well as partial or complete system failure. As the causes of anomalies are often unknown due to complex system dynamics, efficient anomaly detection is necessary. Conventional detection approaches rely on statistic... |
2112.09169 | Weihao Tan | Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek
Chettiar, Vishal Rohra, Aaslesha Rajaram, Soundararajan Srinivasan, H M
Sajjad Hossain, Yash Chandak | On Optimizing Interventions in Shared Autonomy | Accepted by AAAI2022 | null | null | null | cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Shared autonomy refers to approaches for enabling an autonomous agent to
collaborate with a human with the aim of improving human performance. However,
besides improving performance, it may often also be beneficial that the agent
concurrently accounts for preserving the user's experience or satisfaction of
collaborat... | [
{
"created": "Thu, 16 Dec 2021 19:37:28 GMT",
"version": "v1"
},
{
"created": "Sat, 1 Jan 2022 00:51:46 GMT",
"version": "v2"
}
] | 2022-01-04 | [
[
"Tan",
"Weihao",
""
],
[
"Koleczek",
"David",
""
],
[
"Pradhan",
"Siddhant",
""
],
[
"Perello",
"Nicholas",
""
],
[
"Chettiar",
"Vivek",
""
],
[
"Rohra",
"Vishal",
""
],
[
"Rajaram",
"Aaslesha",
""
],
[... | Shared autonomy refers to approaches for enabling an autonomous agent to collaborate with a human with the aim of improving human performance. However, besides improving performance, it may often also be beneficial that the agent concurrently accounts for preserving the user's experience or satisfaction of collaboratio... |
1103.2690 | Valentin Savin | Lam Pham Sy, Valentin Savin, David Declercq, Nghia Pham | Scheduled-PEG construction of LDPC codes for Upper-Layer FEC | WCC 2011 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Progressive Edge Growth (PEG) algorithm is one of the most widely-used
method for constructing finite length LDPC codes. In this paper we consider the
PEG algorithm together with a scheduling distribution, which specifies the
order in which edges are established in the graph. The goal is to find a
scheduling dist... | [
{
"created": "Mon, 14 Mar 2011 15:29:02 GMT",
"version": "v1"
}
] | 2011-03-15 | [
[
"Sy",
"Lam Pham",
""
],
[
"Savin",
"Valentin",
""
],
[
"Declercq",
"David",
""
],
[
"Pham",
"Nghia",
""
]
] | The Progressive Edge Growth (PEG) algorithm is one of the most widely-used method for constructing finite length LDPC codes. In this paper we consider the PEG algorithm together with a scheduling distribution, which specifies the order in which edges are established in the graph. The goal is to find a scheduling distri... |
2305.11882 | Andrew Katz | Andrew Katz, Siqing Wei, Gaurav Nanda, Christopher Brinton, Matthew
Ohland | Exploring the Efficacy of ChatGPT in Analyzing Student Teamwork Feedback
with an Existing Taxonomy | 22 pages, 7 tables, 1 figure | null | null | null | cs.HC cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Teamwork is a critical component of many academic and professional settings.
In those contexts, feedback between team members is an important element to
facilitate successful and sustainable teamwork. However, in the classroom, as
the number of teams and team members and frequency of evaluation increase, the
volume o... | [
{
"created": "Tue, 9 May 2023 19:55:50 GMT",
"version": "v1"
}
] | 2023-05-23 | [
[
"Katz",
"Andrew",
""
],
[
"Wei",
"Siqing",
""
],
[
"Nanda",
"Gaurav",
""
],
[
"Brinton",
"Christopher",
""
],
[
"Ohland",
"Matthew",
""
]
] | Teamwork is a critical component of many academic and professional settings. In those contexts, feedback between team members is an important element to facilitate successful and sustainable teamwork. However, in the classroom, as the number of teams and team members and frequency of evaluation increase, the volume of ... |
2305.14588 | Daniel Simig | Sebastian Cadavid-Sanchez, Khalil Kacem, Rafael Aparecido Martins
Frade, Johannes Boehm, Thomas Chaney, Danial Lashkari, Daniel Simig | Evaluating end-to-end entity linking on domain-specific knowledge bases:
Learning about ancient technologies from museum collections | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | To study social, economic, and historical questions, researchers in the
social sciences and humanities have started to use increasingly large
unstructured textual datasets. While recent advances in NLP provide many tools
to efficiently process such data, most existing approaches rely on generic
solutions whose perfor... | [
{
"created": "Tue, 23 May 2023 23:53:58 GMT",
"version": "v1"
}
] | 2023-05-25 | [
[
"Cadavid-Sanchez",
"Sebastian",
""
],
[
"Kacem",
"Khalil",
""
],
[
"Frade",
"Rafael Aparecido Martins",
""
],
[
"Boehm",
"Johannes",
""
],
[
"Chaney",
"Thomas",
""
],
[
"Lashkari",
"Danial",
""
],
[
"Simig",
"D... | To study social, economic, and historical questions, researchers in the social sciences and humanities have started to use increasingly large unstructured textual datasets. While recent advances in NLP provide many tools to efficiently process such data, most existing approaches rely on generic solutions whose performa... |
2212.02323 | Alexander Razborov | Alexander Razborov | Improved Convergence Guarantees for Shallow Neural Networks | 55 pages, 5 figures | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | We continue a long line of research aimed at proving convergence of depth 2
neural networks, trained via gradient descent, to a global minimum. Like in
many previous works, our model has the following features: regression with
quadratic loss function, fully connected feedforward architecture, RelU
activations, Gaussi... | [
{
"created": "Mon, 5 Dec 2022 14:47:52 GMT",
"version": "v1"
}
] | 2022-12-06 | [
[
"Razborov",
"Alexander",
""
]
] | We continue a long line of research aimed at proving convergence of depth 2 neural networks, trained via gradient descent, to a global minimum. Like in many previous works, our model has the following features: regression with quadratic loss function, fully connected feedforward architecture, RelU activations, Gaussian... |
2107.06400 | Sergio Rojas-Galeano | Sergio Rojas-Galeano | Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection | null | null | null | null | cs.CL cs.IR cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | One of the stratagems used to deceive spam filters is to substitute vocables
with synonyms or similar words that turn the message unrecognisable by the
detection algorithms. In this paper we investigate whether the recent
development of language models sensitive to the semantics and context of words,
such as Google's... | [
{
"created": "Tue, 13 Jul 2021 21:17:57 GMT",
"version": "v1"
}
] | 2021-07-16 | [
[
"Rojas-Galeano",
"Sergio",
""
]
] | One of the stratagems used to deceive spam filters is to substitute vocables with synonyms or similar words that turn the message unrecognisable by the detection algorithms. In this paper we investigate whether the recent development of language models sensitive to the semantics and context of words, such as Google's B... |
2012.04780 | Sarthak Dash | Sarthak Dash, Gaetano Rossiello, Nandana Mihindukulasooriya, Sugato
Bagchi, Alfio Gliozzo | Open Knowledge Graphs Canonicalization using Variational Autoencoders | Accepted to EMNLP 2021 | null | null | null | cs.CL cs.AI cs.IR cs.LG | http://creativecommons.org/licenses/by/4.0/ | Noun phrases and Relation phrases in open knowledge graphs are not
canonicalized, leading to an explosion of redundant and ambiguous
subject-relation-object triples. Existing approaches to solve this problem take
a two-step approach. First, they generate embedding representations for both
noun and relation phrases, t... | [
{
"created": "Tue, 8 Dec 2020 22:58:30 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Sep 2021 20:36:00 GMT",
"version": "v2"
}
] | 2021-09-29 | [
[
"Dash",
"Sarthak",
""
],
[
"Rossiello",
"Gaetano",
""
],
[
"Mihindukulasooriya",
"Nandana",
""
],
[
"Bagchi",
"Sugato",
""
],
[
"Gliozzo",
"Alfio",
""
]
] | Noun phrases and Relation phrases in open knowledge graphs are not canonicalized, leading to an explosion of redundant and ambiguous subject-relation-object triples. Existing approaches to solve this problem take a two-step approach. First, they generate embedding representations for both noun and relation phrases, the... |
1609.04135 | Junmo Sung | Junmo Sung and Brian L. Evans | Real-time testbed for diversity in powerline and wireless smart grid
communications | 6 pages, 5 figures, submitted to ICC 2018 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Two-way communication is a key feature in a smart grid. It is enabled by
either powerline communication or wireless communication technologies.
Utilizing both technologies can potentially enhance communication reliability,
and many diversity combining schemes have been proposed. In this paper, we
propose a flexible r... | [
{
"created": "Wed, 14 Sep 2016 04:39:50 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Mar 2017 22:29:51 GMT",
"version": "v2"
},
{
"created": "Sun, 29 Oct 2017 18:38:02 GMT",
"version": "v3"
}
] | 2017-10-31 | [
[
"Sung",
"Junmo",
""
],
[
"Evans",
"Brian L.",
""
]
] | Two-way communication is a key feature in a smart grid. It is enabled by either powerline communication or wireless communication technologies. Utilizing both technologies can potentially enhance communication reliability, and many diversity combining schemes have been proposed. In this paper, we propose a flexible rea... |
2105.06131 | Mingyu Xiao | Junqiang Peng and Mingyu Xiao | Further Improvements for SAT in Terms of Formula Length | An initial version of this paper with a weaker result was presented
at SAT 2021 | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we prove that the general CNF satisfiability problem can be
solved in $O^*(1.0638^L)$ time, where $L$ is the length of the input
CNF-formula (i.e., the total number of literals in the formula), which improves
the previous result of $O^*(1.0652^L)$ obtained in 2009. Our algorithm was
analyzed by using t... | [
{
"created": "Thu, 13 May 2021 08:15:56 GMT",
"version": "v1"
},
{
"created": "Wed, 17 Aug 2022 15:02:02 GMT",
"version": "v2"
}
] | 2022-08-18 | [
[
"Peng",
"Junqiang",
""
],
[
"Xiao",
"Mingyu",
""
]
] | In this paper, we prove that the general CNF satisfiability problem can be solved in $O^*(1.0638^L)$ time, where $L$ is the length of the input CNF-formula (i.e., the total number of literals in the formula), which improves the previous result of $O^*(1.0652^L)$ obtained in 2009. Our algorithm was analyzed by using the... |
cs/0611165 | Valmir Barbosa | Ricardo C. Correa, Valmir C. Barbosa | Partially ordered distributed computations on asynchronous
point-to-point networks | null | Parallel Computing 35 (2009), 12-28 | 10.1016/j.parco.2008.09.011 | null | cs.DC | null | Asynchronous executions of a distributed algorithm differ from each other due
to the nondeterminism in the order in which the messages exchanged are handled.
In many situations of interest, the asynchronous executions induced by
restricting nondeterminism are more efficient, in an application-specific
sense, than the... | [
{
"created": "Thu, 30 Nov 2006 13:01:36 GMT",
"version": "v1"
}
] | 2016-11-11 | [
[
"Correa",
"Ricardo C.",
""
],
[
"Barbosa",
"Valmir C.",
""
]
] | Asynchronous executions of a distributed algorithm differ from each other due to the nondeterminism in the order in which the messages exchanged are handled. In many situations of interest, the asynchronous executions induced by restricting nondeterminism are more efficient, in an application-specific sense, than the o... |
1802.06852 | Zeeshan Bhatti | Zeeshan Bhatti, Ahsan Abro, Abdul Rehman Gillal, Mostafa Karbasi | Be-Educated: Multimedia Learning through 3D Animation | 10 pages, 32 figures | INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND EMERGING
TECHNOLOGIES,(IJCET)- VOL1(1) DECEMBER 2017- 13-22 | null | null | cs.GR cs.MM | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Multimedia learning tools and techniques are placing its importance with
large scale in education sector. With the help of multimedia learning, various
complex phenomenon and theories can be explained and taught easily and
conveniently. This project aims to teach and spread the importance of education
and respecting ... | [
{
"created": "Mon, 19 Feb 2018 21:08:50 GMT",
"version": "v1"
}
] | 2018-02-21 | [
[
"Bhatti",
"Zeeshan",
""
],
[
"Abro",
"Ahsan",
""
],
[
"Gillal",
"Abdul Rehman",
""
],
[
"Karbasi",
"Mostafa",
""
]
] | Multimedia learning tools and techniques are placing its importance with large scale in education sector. With the help of multimedia learning, various complex phenomenon and theories can be explained and taught easily and conveniently. This project aims to teach and spread the importance of education and respecting th... |
2005.01317 | Jicong Fan | Jicong Fan, Chengrun Yang, Madeleine Udell | Robust Non-Linear Matrix Factorization for Dictionary Learning,
Denoising, and Clustering | null | IEEE Transactions on Signal Processing 69, 1755-1770 (2021) | 10.1109/TSP.2021.3062988 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Low dimensional nonlinear structure abounds in datasets across computer
vision and machine learning. Kernelized matrix factorization techniques have
recently been proposed to learn these nonlinear structures for denoising,
classification, dictionary learning, and missing data imputation, by observing
that the image o... | [
{
"created": "Mon, 4 May 2020 08:32:21 GMT",
"version": "v1"
},
{
"created": "Wed, 2 Dec 2020 08:51:54 GMT",
"version": "v2"
}
] | 2021-06-01 | [
[
"Fan",
"Jicong",
""
],
[
"Yang",
"Chengrun",
""
],
[
"Udell",
"Madeleine",
""
]
] | Low dimensional nonlinear structure abounds in datasets across computer vision and machine learning. Kernelized matrix factorization techniques have recently been proposed to learn these nonlinear structures for denoising, classification, dictionary learning, and missing data imputation, by observing that the image of ... |
1105.5459 | T. Hogg | T. Hogg | Solving Highly Constrained Search Problems with Quantum Computers | null | Journal Of Artificial Intelligence Research, Volume 10, pages
39-66, 1999 | 10.1613/jair.574 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A previously developed quantum search algorithm for solving 1-SAT problems in
a single step is generalized to apply to a range of highly constrained k-SAT
problems. We identify a bound on the number of clauses in satisfiability
problems for which the generalized algorithm can find a solution in a constant
number of s... | [
{
"created": "Fri, 27 May 2011 01:52:46 GMT",
"version": "v1"
}
] | 2011-05-30 | [
[
"Hogg",
"T.",
""
]
] | A previously developed quantum search algorithm for solving 1-SAT problems in a single step is generalized to apply to a range of highly constrained k-SAT problems. We identify a bound on the number of clauses in satisfiability problems for which the generalized algorithm can find a solution in a constant number of ste... |
2401.09628 | Leello Dadi | Leello Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, and
Volkan Cevher | Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games | null | null | null | null | cs.GT | http://creativecommons.org/licenses/by/4.0/ | We introduce an online learning algorithm in the bandit feedback model that,
once adopted by all agents of a congestion game, results in game-dynamics that
converge to an $\epsilon$-approximate Nash Equilibrium in a polynomial number
of rounds with respect to $1/\epsilon$, the number of players and the number of
avai... | [
{
"created": "Wed, 17 Jan 2024 22:37:31 GMT",
"version": "v1"
}
] | 2024-01-19 | [
[
"Dadi",
"Leello",
""
],
[
"Panageas",
"Ioannis",
""
],
[
"Skoulakis",
"Stratis",
""
],
[
"Viano",
"Luca",
""
],
[
"Cevher",
"Volkan",
""
]
] | We introduce an online learning algorithm in the bandit feedback model that, once adopted by all agents of a congestion game, results in game-dynamics that converge to an $\epsilon$-approximate Nash Equilibrium in a polynomial number of rounds with respect to $1/\epsilon$, the number of players and the number of availa... |
1609.01614 | Mao Zheng | Mao Zheng, Qian Xu and Hao Fan | Modeling The Adaption Rule in Context-aware Systems | 11 pages, 4 tables, 7 figures | International Journal of Ad hoc, Sensor & Ubiquitous Computing,
Vol.7, No.3/4, August 2016, ISSN : 0976 - 1764 (Online); 0976 - 2205 (Print), | 10.5121/ijasuc.2016.7401 | null | cs.HC cs.ET | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Context awareness is increasingly gaining applicability in interactive
ubiquitous mobile computing systems. Each context-aware application has its own
set of behaviors to react to context modifications. This paper is concerned
with the context modeling and the development methodology for context-aware
systems. We pro... | [
{
"created": "Tue, 6 Sep 2016 15:42:56 GMT",
"version": "v1"
}
] | 2016-09-07 | [
[
"Zheng",
"Mao",
""
],
[
"Xu",
"Qian",
""
],
[
"Fan",
"Hao",
""
]
] | Context awareness is increasingly gaining applicability in interactive ubiquitous mobile computing systems. Each context-aware application has its own set of behaviors to react to context modifications. This paper is concerned with the context modeling and the development methodology for context-aware systems. We propo... |
2002.06086 | Birgitta Dresp-Langley | Birgitta Dresp-Langley | Artificial Intelligence, connected products, virtual reality: potential
impacts on consumer safety in terms of their physical and psychological
ability or well-being | null | null | null | null | cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | With the progressive digitalisation of a majority of services to communities
and individuals, humankind is facing new challenges. While energy sources are
rapidly dwindling and rigorous choices have to be made to ensure the
sustainability of our environment, there is increasing concern in science and
society about th... | [
{
"created": "Fri, 14 Feb 2020 15:43:20 GMT",
"version": "v1"
}
] | 2020-02-17 | [
[
"Dresp-Langley",
"Birgitta",
""
]
] | With the progressive digitalisation of a majority of services to communities and individuals, humankind is facing new challenges. While energy sources are rapidly dwindling and rigorous choices have to be made to ensure the sustainability of our environment, there is increasing concern in science and society about the ... |
1912.08494 | Sameen Maruf | Sameen Maruf, Fahimeh Saleh and Gholamreza Haffari | A Survey on Document-level Neural Machine Translation: Methods and
Evaluation | Accepted for publication by ACM Computing Surveys | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine translation (MT) is an important task in natural language processing
(NLP) as it automates the translation process and reduces the reliance on human
translators. With the resurgence of neural networks, the translation quality
surpasses that of the translations obtained using statistical techniques for
most la... | [
{
"created": "Wed, 18 Dec 2019 10:07:20 GMT",
"version": "v1"
},
{
"created": "Sun, 11 Oct 2020 23:10:22 GMT",
"version": "v2"
},
{
"created": "Wed, 13 Jan 2021 00:31:53 GMT",
"version": "v3"
}
] | 2021-01-14 | [
[
"Maruf",
"Sameen",
""
],
[
"Saleh",
"Fahimeh",
""
],
[
"Haffari",
"Gholamreza",
""
]
] | Machine translation (MT) is an important task in natural language processing (NLP) as it automates the translation process and reduces the reliance on human translators. With the resurgence of neural networks, the translation quality surpasses that of the translations obtained using statistical techniques for most lang... |
2010.00104 | Pritam Sarkar | Pritam Sarkar, Ali Etemad | CardioGAN: Attentive Generative Adversarial Network with Dual
Discriminators for Synthesis of ECG from PPG | Accepted in AAAI 2021 | null | null | null | cs.LG eess.SP | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Electrocardiogram (ECG) is the electrical measurement of cardiac activity,
whereas Photoplethysmogram (PPG) is the optical measurement of volumetric
changes in blood circulation. While both signals are used for heart rate
monitoring, from a medical perspective, ECG is more useful as it carries
additional cardiac info... | [
{
"created": "Wed, 30 Sep 2020 20:49:30 GMT",
"version": "v1"
},
{
"created": "Tue, 15 Dec 2020 05:51:03 GMT",
"version": "v2"
}
] | 2020-12-16 | [
[
"Sarkar",
"Pritam",
""
],
[
"Etemad",
"Ali",
""
]
] | Electrocardiogram (ECG) is the electrical measurement of cardiac activity, whereas Photoplethysmogram (PPG) is the optical measurement of volumetric changes in blood circulation. While both signals are used for heart rate monitoring, from a medical perspective, ECG is more useful as it carries additional cardiac inform... |
1307.4468 | EPTCS | Mark Reynolds (The University of Western Australia) | A Faster Tableau for CTL* | In Proceedings GandALF 2013, arXiv:1307.4162 | EPTCS 119, 2013, pp. 50-63 | 10.4204/EPTCS.119.7 | null | cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | There have been several recent suggestions for tableau systems for deciding
satisfiability in the practically important branching time temporal logic known
as CTL*. In this paper we present a streamlined and more traditional tableau
approach built upon the author's earlier theoretical work.
Soundness and completene... | [
{
"created": "Wed, 17 Jul 2013 01:41:36 GMT",
"version": "v1"
}
] | 2013-07-18 | [
[
"Reynolds",
"Mark",
"",
"The University of Western Australia"
]
] | There have been several recent suggestions for tableau systems for deciding satisfiability in the practically important branching time temporal logic known as CTL*. In this paper we present a streamlined and more traditional tableau approach built upon the author's earlier theoretical work. Soundness and completeness r... |
1210.2123 | Flavio Calmon | Flavio du Pin Calmon, Nadia Fawaz | Privacy Against Statistical Inference | Allerton 2012, 8 pages | null | null | null | cs.IT cs.CR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a general statistical inference framework to capture the privacy
threat incurred by a user that releases data to a passive but curious
adversary, given utility constraints. We show that applying this general
framework to the setting where the adversary uses the self-information cost
function naturally lead... | [
{
"created": "Mon, 8 Oct 2012 01:07:48 GMT",
"version": "v1"
}
] | 2012-10-09 | [
[
"Calmon",
"Flavio du Pin",
""
],
[
"Fawaz",
"Nadia",
""
]
] | We propose a general statistical inference framework to capture the privacy threat incurred by a user that releases data to a passive but curious adversary, given utility constraints. We show that applying this general framework to the setting where the adversary uses the self-information cost function naturally leads ... |
2011.13485 | Zhiyang He | Zhiyang He, Jason Li, Magnus Wahlstr\"om | Near-linear-time, Optimal Vertex Cut Sparsifiers in Directed Acyclic
Graphs | null | null | null | null | cs.DS math.CO | http://creativecommons.org/licenses/by/4.0/ | Let $G$ be a graph and $S, T \subseteq V(G)$ be (possibly overlapping) sets
of terminals, $|S|=|T|=k$. We are interested in computing a vertex sparsifier
for terminal cuts in $G$, i.e., a graph $H$ on a smallest possible number of
vertices, where $S \cup T \subseteq V(H)$ and such that for every $A \subseteq
S$ and $... | [
{
"created": "Thu, 26 Nov 2020 22:39:34 GMT",
"version": "v1"
},
{
"created": "Sat, 3 Jul 2021 05:19:57 GMT",
"version": "v2"
}
] | 2021-07-06 | [
[
"He",
"Zhiyang",
""
],
[
"Li",
"Jason",
""
],
[
"Wahlström",
"Magnus",
""
]
] | Let $G$ be a graph and $S, T \subseteq V(G)$ be (possibly overlapping) sets of terminals, $|S|=|T|=k$. We are interested in computing a vertex sparsifier for terminal cuts in $G$, i.e., a graph $H$ on a smallest possible number of vertices, where $S \cup T \subseteq V(H)$ and such that for every $A \subseteq S$ and $B ... |
1009.5398 | Ali Reza Manashty | Ali Reza Manashty, Amir Rajabzadeh and Zahra Forootan Jahromi | A Scenario-Based Mobile Application for Robot-Assisted Smart Digital
Homes | 8 pages, 8 figures, IEEE Publication format, Keywords- smart homes;
mobile applications; remote home controls; automated digital homes; robot
assisted at home; general packet radio service (GPRS); short message system
(SMS); robot assisted at home; scenario based smart home | International Journal of Computer Science and Information Security
(IJCSIS), Vol. 8, No. 5, August 2010, ISSN 1947-5500, Pages 89-96 | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Smart homes are becoming more popular, as every day a new home appliance can
be digitally controlled. Smart Digital Homes are using a server to make
interaction with all the possible devices in one place, on a computer or
webpage. In this paper we designed and implemented a mobile application using
Windows Mobile pla... | [
{
"created": "Mon, 27 Sep 2010 20:58:05 GMT",
"version": "v1"
}
] | 2010-09-29 | [
[
"Manashty",
"Ali Reza",
""
],
[
"Rajabzadeh",
"Amir",
""
],
[
"Jahromi",
"Zahra Forootan",
""
]
] | Smart homes are becoming more popular, as every day a new home appliance can be digitally controlled. Smart Digital Homes are using a server to make interaction with all the possible devices in one place, on a computer or webpage. In this paper we designed and implemented a mobile application using Windows Mobile platf... |
2012.06961 | Jiashuo Jiang | Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang | Online Stochastic Optimization with Wasserstein Based Non-stationarity | null | null | null | null | cs.LG math.OC | http://creativecommons.org/licenses/by/4.0/ | We consider a general online stochastic optimization problem with multiple
budget constraints over a horizon of finite time periods. In each time period,
a reward function and multiple cost functions are revealed, and the decision
maker needs to specify an action from a convex and compact action set to
collect the re... | [
{
"created": "Sun, 13 Dec 2020 04:47:37 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Dec 2020 06:24:13 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Jul 2022 00:17:45 GMT",
"version": "v3"
}
] | 2022-07-26 | [
[
"Jiang",
"Jiashuo",
""
],
[
"Li",
"Xiaocheng",
""
],
[
"Zhang",
"Jiawei",
""
]
] | We consider a general online stochastic optimization problem with multiple budget constraints over a horizon of finite time periods. In each time period, a reward function and multiple cost functions are revealed, and the decision maker needs to specify an action from a convex and compact action set to collect the rewa... |
2403.17532 | Yilin Wang | Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Dong Yang, Xicheng
Lu | KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on
Large Language Models for Knowledge Graph Completion | This paper has been accepted for publication in the proceedings of
LREC-COLING 2024 | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The goal of knowledge graph completion (KGC) is to predict missing facts
among entities. Previous methods for KGC re-ranking are mostly built on
non-generative language models to obtain the probability of each candidate.
Recently, generative large language models (LLMs) have shown outstanding
performance on several t... | [
{
"created": "Tue, 26 Mar 2024 09:36:59 GMT",
"version": "v1"
}
] | 2024-03-27 | [
[
"Wang",
"Yilin",
""
],
[
"Hu",
"Minghao",
""
],
[
"Huang",
"Zhen",
""
],
[
"Li",
"Dongsheng",
""
],
[
"Yang",
"Dong",
""
],
[
"Lu",
"Xicheng",
""
]
] | The goal of knowledge graph completion (KGC) is to predict missing facts among entities. Previous methods for KGC re-ranking are mostly built on non-generative language models to obtain the probability of each candidate. Recently, generative large language models (LLMs) have shown outstanding performance on several tas... |
2101.11711 | Nikolaos Dervilis Dr | Kartik Chandrasekhar, Nevena Stevanovic, Elizabeth J. Cross, Nikolaos
Dervilis, Keith Worden | Damage detection in operational wind turbine blades using a new approach
based on machine learning | null | This is an author produced version of a paper subsequently
published in Renewable Energy, Elsevier, 2021. Uploaded in accordance with
the publisher's self-archiving policy | 10.1016/j.renene.2020.12.119 | null | cs.LG physics.data-an | http://creativecommons.org/licenses/by/4.0/ | The application of reliable structural health monitoring (SHM) technologies
to operational wind turbine blades is a challenging task, due to the uncertain
nature of the environments they operate in. In this paper, a novel SHM
methodology, which uses Gaussian Processes (GPs) is proposed. The methodology
takes advantag... | [
{
"created": "Mon, 25 Jan 2021 21:56:33 GMT",
"version": "v1"
}
] | 2021-01-29 | [
[
"Chandrasekhar",
"Kartik",
""
],
[
"Stevanovic",
"Nevena",
""
],
[
"Cross",
"Elizabeth J.",
""
],
[
"Dervilis",
"Nikolaos",
""
],
[
"Worden",
"Keith",
""
]
] | The application of reliable structural health monitoring (SHM) technologies to operational wind turbine blades is a challenging task, due to the uncertain nature of the environments they operate in. In this paper, a novel SHM methodology, which uses Gaussian Processes (GPs) is proposed. The methodology takes advantage ... |
2309.09095 | Rustam Zayanov | Rustam Zayanov, Francisco S. Melo, Manuel Lopes | Interactively Teaching an Inverse Reinforcement Learner with Limited
Feedback | 7 pages, 3 figures | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the problem of teaching via demonstrations in sequential
decision-making tasks. In particular, we focus on the situation when the
teacher has no access to the learner's model and policy, and the feedback from
the learner is limited to trajectories that start from states selected by the
teacher. The necessity... | [
{
"created": "Sat, 16 Sep 2023 21:12:04 GMT",
"version": "v1"
}
] | 2023-09-19 | [
[
"Zayanov",
"Rustam",
""
],
[
"Melo",
"Francisco S.",
""
],
[
"Lopes",
"Manuel",
""
]
] | We study the problem of teaching via demonstrations in sequential decision-making tasks. In particular, we focus on the situation when the teacher has no access to the learner's model and policy, and the feedback from the learner is limited to trajectories that start from states selected by the teacher. The necessity t... |
2205.01789 | Nishanth Dikkala | Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath | Do More Negative Samples Necessarily Hurt in Contrastive Learning? | 16 pages | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent investigations in noise contrastive estimation suggest, both
empirically as well as theoretically, that while having more "negative samples"
in the contrastive loss improves downstream classification performance
initially, beyond a threshold, it hurts downstream performance due to a
"collision-coverage" trade-... | [
{
"created": "Tue, 3 May 2022 21:29:59 GMT",
"version": "v1"
},
{
"created": "Wed, 22 Jun 2022 20:47:11 GMT",
"version": "v2"
}
] | 2022-06-24 | [
[
"Awasthi",
"Pranjal",
""
],
[
"Dikkala",
"Nishanth",
""
],
[
"Kamath",
"Pritish",
""
]
] | Recent investigations in noise contrastive estimation suggest, both empirically as well as theoretically, that while having more "negative samples" in the contrastive loss improves downstream classification performance initially, beyond a threshold, it hurts downstream performance due to a "collision-coverage" trade-of... |
1405.7903 | Carsten Gottschlich | Carsten Gottschlich and Dominic Schuhmacher | The Shortlist Method for Fast Computation of the Earth Mover's Distance
and Finding Optimal Solutions to Transportation Problems | null | PLOS ONE 9(10): e110214, Oct. 2014 | 10.1371/journal.pone.0110214 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Finding solutions to the classical transportation problem is of great
importance, since this optimization problem arises in many engineering and
computer science applications. Especially the Earth Mover's Distance is used in
a plethora of applications ranging from content-based image retrieval, shape
matching, finger... | [
{
"created": "Fri, 30 May 2014 16:07:55 GMT",
"version": "v1"
}
] | 2014-10-15 | [
[
"Gottschlich",
"Carsten",
""
],
[
"Schuhmacher",
"Dominic",
""
]
] | Finding solutions to the classical transportation problem is of great importance, since this optimization problem arises in many engineering and computer science applications. Especially the Earth Mover's Distance is used in a plethora of applications ranging from content-based image retrieval, shape matching, fingerpr... |
1811.12554 | Saeed Seddighin | MohammadHossein Bateni, MohammadTaghi Hajiaghayi, Saeed Seddighin,
Cliff Stein | Fast Algorithms for Knapsack via Convolution and Prediction | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The \Problem{knapsack} problem is a fundamental problem in combinatorial
optimization. It has been studied extensively from theoretical as well as
practical perspectives as it is one of the most well-known NP-hard problems.
The goal is to pack a knapsack of size $t$ with the maximum value from a
collection of $n$ ite... | [
{
"created": "Fri, 30 Nov 2018 00:33:51 GMT",
"version": "v1"
}
] | 2018-12-03 | [
[
"Bateni",
"MohammadHossein",
""
],
[
"Hajiaghayi",
"MohammadTaghi",
""
],
[
"Seddighin",
"Saeed",
""
],
[
"Stein",
"Cliff",
""
]
] | The \Problem{knapsack} problem is a fundamental problem in combinatorial optimization. It has been studied extensively from theoretical as well as practical perspectives as it is one of the most well-known NP-hard problems. The goal is to pack a knapsack of size $t$ with the maximum value from a collection of $n$ items... |
1810.09803 | Bertrand Corn\'elusse | Bertrand Corn\'elusse, Iacopo Savelli, Simone Paoletti, Antonio
Giannitrapani and Antonio Vicino | A Community Microgrid Architecture with an Internal Local Market | 16 pages, 15 figures | null | 10.1016/j.apenergy.2019.03.109 | null | cs.SY econ.GN q-fin.EC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work fits in the context of community microgrids, where members of a
community can exchange energy and services among themselves, without going
through the usual channels of the public electricity grid. We introduce and
analyze a framework to operate a community microgrid, and to share the
resulting revenues and... | [
{
"created": "Tue, 23 Oct 2018 12:05:51 GMT",
"version": "v1"
},
{
"created": "Thu, 10 Jan 2019 09:39:31 GMT",
"version": "v2"
},
{
"created": "Wed, 20 Feb 2019 17:43:05 GMT",
"version": "v3"
}
] | 2019-04-23 | [
[
"Cornélusse",
"Bertrand",
""
],
[
"Savelli",
"Iacopo",
""
],
[
"Paoletti",
"Simone",
""
],
[
"Giannitrapani",
"Antonio",
""
],
[
"Vicino",
"Antonio",
""
]
] | This work fits in the context of community microgrids, where members of a community can exchange energy and services among themselves, without going through the usual channels of the public electricity grid. We introduce and analyze a framework to operate a community microgrid, and to share the resulting revenues and c... |
1012.5751 | Amir Shachar | Amir Shachar | Introduction to Semi-discrete Calculus | null | null | null | null | cs.DM math.CA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Infinitesimal Calculus explores mainly two measurements: the
instantaneous rates of change and the accumulation of quantities. This work
shows that scientists, engineers, mathematicians, and teachers increasingly
apply another change measurements tool: functions' local trends. While it seems
to be a special case ... | [
{
"created": "Tue, 28 Dec 2010 12:55:07 GMT",
"version": "v1"
},
{
"created": "Wed, 9 Mar 2011 16:58:06 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Jul 2011 22:33:55 GMT",
"version": "v3"
},
{
"created": "Thu, 10 Apr 2014 18:37:23 GMT",
"version": "v4"
},
{
"cr... | 2022-06-02 | [
[
"Shachar",
"Amir",
""
]
] | The Infinitesimal Calculus explores mainly two measurements: the instantaneous rates of change and the accumulation of quantities. This work shows that scientists, engineers, mathematicians, and teachers increasingly apply another change measurements tool: functions' local trends. While it seems to be a special case of... |
2011.09970 | Xingang Wang Professor | Yali Guo, Han Zhang, Liang Wang, Huawei Fan, and Xingang Wang | Transfer learning of chaotic systems | 20 pages, 8 figures | Chaos 31, 011104 (2021) | 10.1063/5.0033870 | null | cs.NE nlin.CD | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Can a neural network trained by the time series of system A be used to
predict the evolution of system B? This problem, knowing as transfer learning
in a broad sense, is of great importance in machine learning and data mining,
yet has not been addressed for chaotic systems. Here we investigate transfer
learning of ch... | [
{
"created": "Sun, 15 Nov 2020 04:09:35 GMT",
"version": "v1"
}
] | 2021-02-23 | [
[
"Guo",
"Yali",
""
],
[
"Zhang",
"Han",
""
],
[
"Wang",
"Liang",
""
],
[
"Fan",
"Huawei",
""
],
[
"Wang",
"Xingang",
""
]
] | Can a neural network trained by the time series of system A be used to predict the evolution of system B? This problem, knowing as transfer learning in a broad sense, is of great importance in machine learning and data mining, yet has not been addressed for chaotic systems. Here we investigate transfer learning of chao... |
1806.04761 | Ciprian-Octavian Truica | Ciprian-Octavian Truic\u{a} and Florin R\u{a}dulescu and Alexandru
Boicea and Ion Bucur | Performance evaluation for CRUD operations in asynchronously replicated
document oriented database | null | null | 10.1109/CSCS.2015.32 | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | NoSQL databases are becoming increasingly popular as more developers seek new
ways for storing information. The popularity of these databases has risen due
to their flexibility and scalability needed in domains like Big Data and Cloud
Computing. This paper examines asynchronous replication, one of the key
features fo... | [
{
"created": "Tue, 12 Jun 2018 20:38:56 GMT",
"version": "v1"
}
] | 2018-06-14 | [
[
"Truică",
"Ciprian-Octavian",
""
],
[
"Rădulescu",
"Florin",
""
],
[
"Boicea",
"Alexandru",
""
],
[
"Bucur",
"Ion",
""
]
] | NoSQL databases are becoming increasingly popular as more developers seek new ways for storing information. The popularity of these databases has risen due to their flexibility and scalability needed in domains like Big Data and Cloud Computing. This paper examines asynchronous replication, one of the key features for ... |
2403.13423 | Xun Gong | Xun Gong, Yu Wu, Jinyu Li, Shujie Liu, Rui Zhao, Xie Chen, Yanmin Qian | Advanced Long-Content Speech Recognition With Factorized Neural
Transducer | Accepted by TASLP 2024 | IEEE/ACM Transactions on Audio, Speech, and Language Processing,
vol. 32, pp. 1803-1815, 2024 | 10.1109/TASLP.2024.3350893 | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose two novel approaches, which integrate long-content
information into the factorized neural transducer (FNT) based architecture in
both non-streaming (referred to as LongFNT ) and streaming (referred to as
SLongFNT ) scenarios. We first investigate whether long-content transcriptions
can impro... | [
{
"created": "Wed, 20 Mar 2024 09:09:49 GMT",
"version": "v1"
}
] | 2024-03-21 | [
[
"Gong",
"Xun",
""
],
[
"Wu",
"Yu",
""
],
[
"Li",
"Jinyu",
""
],
[
"Liu",
"Shujie",
""
],
[
"Zhao",
"Rui",
""
],
[
"Chen",
"Xie",
""
],
[
"Qian",
"Yanmin",
""
]
] | In this paper, we propose two novel approaches, which integrate long-content information into the factorized neural transducer (FNT) based architecture in both non-streaming (referred to as LongFNT ) and streaming (referred to as SLongFNT ) scenarios. We first investigate whether long-content transcriptions can improve... |
1408.2037 | Issei Sato | Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji
Miyashita | Quantum Annealing for Variational Bayes Inference | Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty
in Artificial Intelligence (UAI2009) | null | null | UAI-P-2009-PG-479-486 | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents studies on a deterministic annealing algorithm based on
quantum annealing for variational Bayes (QAVB) inference, which can be seen as
an extension of the simulated annealing for variational Bayes (SAVB) inference.
QAVB is as easy as SAVB to implement. Experiments revealed QAVB finds a better
loca... | [
{
"created": "Sat, 9 Aug 2014 05:33:21 GMT",
"version": "v1"
}
] | 2014-08-12 | [
[
"Sato",
"Issei",
""
],
[
"Kurihara",
"Kenichi",
""
],
[
"Tanaka",
"Shu",
""
],
[
"Nakagawa",
"Hiroshi",
""
],
[
"Miyashita",
"Seiji",
""
]
] | This paper presents studies on a deterministic annealing algorithm based on quantum annealing for variational Bayes (QAVB) inference, which can be seen as an extension of the simulated annealing for variational Bayes (SAVB) inference. QAVB is as easy as SAVB to implement. Experiments revealed QAVB finds a better local ... |
2305.04971 | Peng Lu | Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe
Langlais | LABO: Towards Learning Optimal Label Regularization via Bi-level
Optimization | Accepted at ACL2023 (Findings) | null | null | null | cs.LG cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Regularization techniques are crucial to improving the generalization
performance and training efficiency of deep neural networks. Many deep learning
algorithms rely on weight decay, dropout, batch/layer normalization to converge
faster and generalize. Label Smoothing (LS) is another simple, versatile and
efficient r... | [
{
"created": "Mon, 8 May 2023 18:04:18 GMT",
"version": "v1"
}
] | 2023-05-10 | [
[
"Lu",
"Peng",
""
],
[
"Rashid",
"Ahmad",
""
],
[
"Kobyzev",
"Ivan",
""
],
[
"Rezagholizadeh",
"Mehdi",
""
],
[
"Langlais",
"Philippe",
""
]
] | Regularization techniques are crucial to improving the generalization performance and training efficiency of deep neural networks. Many deep learning algorithms rely on weight decay, dropout, batch/layer normalization to converge faster and generalize. Label Smoothing (LS) is another simple, versatile and efficient reg... |
2006.08737 | Raj Kumar Maity | Avishek Ghosh, Raj Kumar Maity and Arya Mazumdar | Distributed Newton Can Communicate Less and Resist Byzantine Workers | null | null | null | null | cs.LG cs.DC math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We develop a distributed second order optimization algorithm that is
communication-efficient as well as robust against Byzantine failures of the
worker machines. We propose COMRADE (COMunication-efficient and Robust
Approximate Distributed nEwton), an iterative second order algorithm, where the
worker machines commun... | [
{
"created": "Mon, 15 Jun 2020 20:16:15 GMT",
"version": "v1"
}
] | 2021-03-19 | [
[
"Ghosh",
"Avishek",
""
],
[
"Maity",
"Raj Kumar",
""
],
[
"Mazumdar",
"Arya",
""
]
] | We develop a distributed second order optimization algorithm that is communication-efficient as well as robust against Byzantine failures of the worker machines. We propose COMRADE (COMunication-efficient and Robust Approximate Distributed nEwton), an iterative second order algorithm, where the worker machines communic... |
2108.10417 | Yiyang Li | GuoLiang Li and Yiyang Li | Recurrent multiple shared layers in Depth for Neural Machine Translation | 8 pages, 2 figures. arXiv admin note: substantial text overlap with
arXiv:2107.14590 | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-sa/4.0/ | Learning deeper models is usually a simple and effective approach to improve
model performance, but deeper models have larger model parameters and are more
difficult to train. To get a deeper model, simply stacking more layers of the
model seems to work well, but previous works have claimed that it cannot
benefit the... | [
{
"created": "Mon, 23 Aug 2021 21:21:45 GMT",
"version": "v1"
},
{
"created": "Thu, 26 Aug 2021 13:32:50 GMT",
"version": "v2"
}
] | 2021-08-27 | [
[
"Li",
"GuoLiang",
""
],
[
"Li",
"Yiyang",
""
]
] | Learning deeper models is usually a simple and effective approach to improve model performance, but deeper models have larger model parameters and are more difficult to train. To get a deeper model, simply stacking more layers of the model seems to work well, but previous works have claimed that it cannot benefit the m... |
2407.06366 | Minghan Wei | Cheng Peng, Minghan Wei, Volkan Isler | Stochastic Traveling Salesperson Problem with Neighborhoods for Object
Detection | 2023 IEEE International Conference on Robotics and Automation | null | null | null | cs.DS | http://creativecommons.org/licenses/by/4.0/ | We introduce a new route-finding problem which considers perception and
travel costs simultaneously. Specifically, we consider the problem of finding
the shortest tour such that all objects of interest can be detected
successfully. To represent a viable detection region for each object, we
propose to use an entropy-b... | [
{
"created": "Mon, 8 Jul 2024 20:12:45 GMT",
"version": "v1"
}
] | 2024-07-10 | [
[
"Peng",
"Cheng",
""
],
[
"Wei",
"Minghan",
""
],
[
"Isler",
"Volkan",
""
]
] | We introduce a new route-finding problem which considers perception and travel costs simultaneously. Specifically, we consider the problem of finding the shortest tour such that all objects of interest can be detected successfully. To represent a viable detection region for each object, we propose to use an entropy-bas... |
1710.00954 | Anirban Ghosh | Adrian Dumitrescu, Anirban Ghosh, Csaba D. T\'oth | Online Unit Covering in Euclidean Space | 14 pages, 5 figures, A preliminary version in: Proceedings of the
27th Annual Fall Workshop on Computational Geometry, Stony Brook University,
USA, 2017. arXiv admin note: text overlap with arXiv:1708.02662 | null | null | null | cs.CG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We revisit the online Unit Covering problem in higher dimensions: Given a set
of $n$ points in $\mathbb{R}^d$, that arrive one by one, cover the points by
balls of unit radius, so as to minimize the number of balls used. In this
paper, we work in $\mathbb{R}^d$ using Euclidean distance. The current best
competitive r... | [
{
"created": "Tue, 3 Oct 2017 01:40:43 GMT",
"version": "v1"
},
{
"created": "Sun, 11 Feb 2018 16:51:24 GMT",
"version": "v2"
},
{
"created": "Fri, 24 Aug 2018 23:55:41 GMT",
"version": "v3"
}
] | 2018-08-29 | [
[
"Dumitrescu",
"Adrian",
""
],
[
"Ghosh",
"Anirban",
""
],
[
"Tóth",
"Csaba D.",
""
]
] | We revisit the online Unit Covering problem in higher dimensions: Given a set of $n$ points in $\mathbb{R}^d$, that arrive one by one, cover the points by balls of unit radius, so as to minimize the number of balls used. In this paper, we work in $\mathbb{R}^d$ using Euclidean distance. The current best competitive rat... |
2201.12428 | Tyler Cody | Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura Freeman | Systematic Training and Testing for Machine Learning Using Combinatorial
Interaction Testing | null | null | null | null | cs.LG cs.SE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper demonstrates the systematic use of combinatorial coverage for
selecting and characterizing test and training sets for machine learning
models. The presented work adapts combinatorial interaction testing, which has
been successfully leveraged in identifying faults in software testing, to
characterize data u... | [
{
"created": "Fri, 28 Jan 2022 21:33:31 GMT",
"version": "v1"
}
] | 2022-02-01 | [
[
"Cody",
"Tyler",
""
],
[
"Lanus",
"Erin",
""
],
[
"Doyle",
"Daniel D.",
""
],
[
"Freeman",
"Laura",
""
]
] | This paper demonstrates the systematic use of combinatorial coverage for selecting and characterizing test and training sets for machine learning models. The presented work adapts combinatorial interaction testing, which has been successfully leveraged in identifying faults in software testing, to characterize data use... |
1509.07244 | Shawn Andrews | Shawn Andrews and Ghassan Hamarneh | Multi-Region Probabilistic Dice Similarity Coefficient using the
Aitchison Distance and Bipartite Graph Matching | 8 pages. 5 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Validation of image segmentation methods is of critical importance.
Probabilistic image segmentation is increasingly popular as it captures
uncertainty in the results. Image segmentation methods that support
multi-region (as opposed to binary) delineation are more favourable as they
capture interactions between the d... | [
{
"created": "Thu, 24 Sep 2015 05:56:38 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Oct 2015 06:25:17 GMT",
"version": "v2"
},
{
"created": "Tue, 13 Oct 2015 04:11:25 GMT",
"version": "v3"
}
] | 2015-10-14 | [
[
"Andrews",
"Shawn",
""
],
[
"Hamarneh",
"Ghassan",
""
]
] | Validation of image segmentation methods is of critical importance. Probabilistic image segmentation is increasingly popular as it captures uncertainty in the results. Image segmentation methods that support multi-region (as opposed to binary) delineation are more favourable as they capture interactions between the dif... |
2103.10873 | Daniele Palossi | Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti,
Hanna M\"uller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti,
J\'er\^ome Guzzi | Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power
Autonomous Flying Nano-UAVs | 15 pages, 15 figures, 4 tables. This work has been submitted to the
IEEE for possible publication. Copyright may be transferred without notice,
after which this version may no longer be accessible | null | null | null | cs.RO cs.SY eess.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Artificial intelligence-powered pocket-sized air robots have the potential to
revolutionize the Internet-of-Things ecosystem, acting as autonomous,
unobtrusive, and ubiquitous smart sensors. With a few cm$^{2}$ form-factor,
nano-sized unmanned aerial vehicles (UAVs) are the natural befit for indoor
human-drone intera... | [
{
"created": "Fri, 19 Mar 2021 15:56:58 GMT",
"version": "v1"
}
] | 2021-03-22 | [
[
"Palossi",
"Daniele",
""
],
[
"Zimmerman",
"Nicky",
""
],
[
"Burrello",
"Alessio",
""
],
[
"Conti",
"Francesco",
""
],
[
"Müller",
"Hanna",
""
],
[
"Gambardella",
"Luca Maria",
""
],
[
"Benini",
"Luca",
""
... | Artificial intelligence-powered pocket-sized air robots have the potential to revolutionize the Internet-of-Things ecosystem, acting as autonomous, unobtrusive, and ubiquitous smart sensors. With a few cm$^{2}$ form-factor, nano-sized unmanned aerial vehicles (UAVs) are the natural befit for indoor human-drone interact... |
1706.02785 | Ophir Lojkine | Ophir Lojkine | Optimal parameters for bloom-filtered joins in Spark | The article is in Russian, but an analysis of the data used in it is
available in english at the following address:
https://github.com/lovasoa/spark-bloomfiltered-join-analysis/blob/master/analysis.ipynb | null | null | null | cs.DC cs.DB | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present an algorithm that joins relational database tables
efficiently in a distributed environment using Bloom filters of an optimal
size. We propose not to use fixed-size bloom filters as in previous research,
but to find an optimal size for the bloom filters, by creating a mathematical
model of t... | [
{
"created": "Thu, 8 Jun 2017 22:29:41 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Jun 2017 12:49:15 GMT",
"version": "v2"
}
] | 2017-06-13 | [
[
"Lojkine",
"Ophir",
""
]
] | In this paper, we present an algorithm that joins relational database tables efficiently in a distributed environment using Bloom filters of an optimal size. We propose not to use fixed-size bloom filters as in previous research, but to find an optimal size for the bloom filters, by creating a mathematical model of the... |
2011.04461 | Nicholas Adrian | Nicholas Adrian and Quang-Cuong Pham | MoboTSP: Solving the Task Sequencing Problem for Mobile Manipulators | Revised version of arXiv:2011.04461. The edit includes reorganizing
and rewriting for better clarity without any changes to the methodology | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a new approach to tackle the mobile manipulator task sequencing
problem. We leverage computational geometry, graph theory and combinatorial
optimization to yield a principled method to segment the task-space targets
into clusters, analytically determine reachable base pose for each cluster, and
find task... | [
{
"created": "Mon, 9 Nov 2020 14:37:30 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Oct 2021 02:37:06 GMT",
"version": "v2"
}
] | 2021-10-22 | [
[
"Adrian",
"Nicholas",
""
],
[
"Pham",
"Quang-Cuong",
""
]
] | We introduce a new approach to tackle the mobile manipulator task sequencing problem. We leverage computational geometry, graph theory and combinatorial optimization to yield a principled method to segment the task-space targets into clusters, analytically determine reachable base pose for each cluster, and find task s... |
2207.13283 | Zhuqing Liu | Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, and Jia Liu | INTERACT: Achieving Low Sample and Communication Complexities in
Decentralized Bilevel Learning over Networks | null | null | null | null | cs.LG math.OC stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, decentralized bilevel optimization problems have received
increasing attention in the networking and machine learning communities thanks
to their versatility in modeling decentralized learning problems over
peer-to-peer networks (e.g., multi-agent meta-learning, multi-agent
reinforcement learning, pe... | [
{
"created": "Wed, 27 Jul 2022 04:19:28 GMT",
"version": "v1"
},
{
"created": "Thu, 28 Jul 2022 14:34:30 GMT",
"version": "v2"
},
{
"created": "Wed, 5 Oct 2022 19:38:14 GMT",
"version": "v3"
}
] | 2022-10-07 | [
[
"Liu",
"Zhuqing",
""
],
[
"Zhang",
"Xin",
""
],
[
"Khanduri",
"Prashant",
""
],
[
"Lu",
"Songtao",
""
],
[
"Liu",
"Jia",
""
]
] | In recent years, decentralized bilevel optimization problems have received increasing attention in the networking and machine learning communities thanks to their versatility in modeling decentralized learning problems over peer-to-peer networks (e.g., multi-agent meta-learning, multi-agent reinforcement learning, pers... |
2408.04910 | Muntasir Adnan | Muntasir Adnan, Buddhi Gamage, Zhiwei Xu, Damith Herath, Carlos C. N.
Kuhn | Unleashing Artificial Cognition: Integrating Multiple AI Systems | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this study, we present an innovative fusion of language models and query
analysis techniques to unlock cognition in artificial intelligence. Our system
seamlessly integrates a Chess engine with a language model, enabling it to
predict moves and provide strategic explanations. Leveraging a vector database
to achiev... | [
{
"created": "Fri, 9 Aug 2024 07:36:30 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Aug 2024 04:25:39 GMT",
"version": "v2"
},
{
"created": "Wed, 14 Aug 2024 02:28:19 GMT",
"version": "v3"
}
] | 2024-08-15 | [
[
"Adnan",
"Muntasir",
""
],
[
"Gamage",
"Buddhi",
""
],
[
"Xu",
"Zhiwei",
""
],
[
"Herath",
"Damith",
""
],
[
"Kuhn",
"Carlos C. N.",
""
]
] | In this study, we present an innovative fusion of language models and query analysis techniques to unlock cognition in artificial intelligence. Our system seamlessly integrates a Chess engine with a language model, enabling it to predict moves and provide strategic explanations. Leveraging a vector database to achieve ... |
2401.09691 | Koki Yamane | Koki Yamane, Sho Sakaino, Toshiaki Tsuji | Imitation Learning Inputting Image Feature to Each Layer of Neural
Network | 6 pages, 4 figures, Accepted at AMC2024 | null | null | null | cs.RO cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Imitation learning enables robots to learn and replicate human behavior from
training data. Recent advances in machine learning enable end-to-end learning
approaches that directly process high-dimensional observation data, such as
images. However, these approaches face a critical challenge when processing
data from m... | [
{
"created": "Thu, 18 Jan 2024 02:44:18 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jan 2024 12:43:36 GMT",
"version": "v2"
}
] | 2024-01-22 | [
[
"Yamane",
"Koki",
""
],
[
"Sakaino",
"Sho",
""
],
[
"Tsuji",
"Toshiaki",
""
]
] | Imitation learning enables robots to learn and replicate human behavior from training data. Recent advances in machine learning enable end-to-end learning approaches that directly process high-dimensional observation data, such as images. However, these approaches face a critical challenge when processing data from mul... |
2104.12274 | Yusha Liu | Yusha Liu, Osvaldo Simeone | HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial
Channel Reciprocity for FDD Massive MIMO | To be presented at SPAWC 2021 | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by/4.0/ | In order to unlock the full advantages of massive multiple input multiple
output (MIMO) in the downlink, channel state information (CSI) is required at
the base station (BS) to optimize the beamforming matrices. In frequency
division duplex (FDD) systems, full channel reciprocity does not hold, and CSI
acquisition ge... | [
{
"created": "Sun, 25 Apr 2021 22:03:59 GMT",
"version": "v1"
},
{
"created": "Sun, 2 May 2021 04:28:00 GMT",
"version": "v2"
},
{
"created": "Thu, 8 Jul 2021 10:18:54 GMT",
"version": "v3"
}
] | 2021-07-09 | [
[
"Liu",
"Yusha",
""
],
[
"Simeone",
"Osvaldo",
""
]
] | In order to unlock the full advantages of massive multiple input multiple output (MIMO) in the downlink, channel state information (CSI) is required at the base station (BS) to optimize the beamforming matrices. In frequency division duplex (FDD) systems, full channel reciprocity does not hold, and CSI acquisition gene... |
1808.01976 | Jonas Rauber | Wieland Brendel, Jonas Rauber, Alexey Kurakin, Nicolas Papernot, Behar
Veliqi, Marcel Salath\'e, Sharada P. Mohanty, Matthias Bethge | Adversarial Vision Challenge | https://www.crowdai.org/challenges/adversarial-vision-challenge | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The NIPS 2018 Adversarial Vision Challenge is a competition to facilitate
measurable progress towards robust machine vision models and more generally
applicable adversarial attacks. This document is an updated version of our
competition proposal that was accepted in the competition track of 32nd
Conference on Neural ... | [
{
"created": "Mon, 6 Aug 2018 16:13:43 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Dec 2018 18:21:49 GMT",
"version": "v2"
}
] | 2018-12-07 | [
[
"Brendel",
"Wieland",
""
],
[
"Rauber",
"Jonas",
""
],
[
"Kurakin",
"Alexey",
""
],
[
"Papernot",
"Nicolas",
""
],
[
"Veliqi",
"Behar",
""
],
[
"Salathé",
"Marcel",
""
],
[
"Mohanty",
"Sharada P.",
""
],
... | The NIPS 2018 Adversarial Vision Challenge is a competition to facilitate measurable progress towards robust machine vision models and more generally applicable adversarial attacks. This document is an updated version of our competition proposal that was accepted in the competition track of 32nd Conference on Neural In... |
1901.00431 | Dimitrios Rafailidis Dr | Dimitrios Rafailidis and Yannis Manolopoulos | The Technological Gap Between Virtual Assistants and Recommendation
Systems | 6 pages, Report | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Virtual assistants, also known as intelligent conversational systems such as
Google's Virtual Assistant and Apple's Siri, interact with human-like responses
to users' queries and finish specific tasks. Meanwhile, existing recommendation
technologies model users' evolving, diverse and multi-aspect preferences to
gener... | [
{
"created": "Fri, 21 Dec 2018 00:50:03 GMT",
"version": "v1"
},
{
"created": "Sun, 6 Jan 2019 13:46:09 GMT",
"version": "v2"
}
] | 2019-01-08 | [
[
"Rafailidis",
"Dimitrios",
""
],
[
"Manolopoulos",
"Yannis",
""
]
] | Virtual assistants, also known as intelligent conversational systems such as Google's Virtual Assistant and Apple's Siri, interact with human-like responses to users' queries and finish specific tasks. Meanwhile, existing recommendation technologies model users' evolving, diverse and multi-aspect preferences to generat... |
1611.09701 | Sanat Biswas | Sanat Biswas, Li Qiao, Andrew Dempster | Computationally Efficient Unscented Kalman Filtering Techniques for
Launch Vehicle Navigation using a Space-borne GPS Receiver | null | Proc. ION GNSS+ 2016, Institute of Navigation, Portland, Oregon,
USA, September 14, 2016 | null | null | cs.SY | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The Extended Kalman Filter (EKF) is a well established technique for position
and velocity estimation. However, the performance of the EKF degrades
considerably in highly non-linear system applications as it requires local
linearisation in its prediction stage. The Unscented Kalman Filter (UKF) was
developed to addre... | [
{
"created": "Fri, 25 Nov 2016 01:41:08 GMT",
"version": "v1"
}
] | 2016-11-30 | [
[
"Biswas",
"Sanat",
""
],
[
"Qiao",
"Li",
""
],
[
"Dempster",
"Andrew",
""
]
] | The Extended Kalman Filter (EKF) is a well established technique for position and velocity estimation. However, the performance of the EKF degrades considerably in highly non-linear system applications as it requires local linearisation in its prediction stage. The Unscented Kalman Filter (UKF) was developed to address... |
2305.17268 | Yucheng Li | Yucheng Li, Shun Wang, Chenghua Lin, Guerin Frank | Metaphor Detection via Explicit Basic Meanings Modelling | ACL 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | One noticeable trend in metaphor detection is the embrace of linguistic
theories such as the metaphor identification procedure (MIP) for model
architecture design. While MIP clearly defines that the metaphoricity of a
lexical unit is determined based on the contrast between its \textit{contextual
meaning} and its \te... | [
{
"created": "Fri, 26 May 2023 21:25:05 GMT",
"version": "v1"
}
] | 2023-05-30 | [
[
"Li",
"Yucheng",
""
],
[
"Wang",
"Shun",
""
],
[
"Lin",
"Chenghua",
""
],
[
"Frank",
"Guerin",
""
]
] | One noticeable trend in metaphor detection is the embrace of linguistic theories such as the metaphor identification procedure (MIP) for model architecture design. While MIP clearly defines that the metaphoricity of a lexical unit is determined based on the contrast between its \textit{contextual meaning} and its \text... |
1610.05419 | Ali Khalajmehrabadi | Ali Khalajmehrabadi, Nikolaos Gatsis, Daniel Pack and David Akopian | A Joint Indoor WLAN Localization and Outlier Detection Scheme Using
LASSO and Elastic-Net Optimization Techniques | null | null | 10.1109/TMC.2016.2616465 | null | cs.NI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we introduce two indoor Wireless Local Area Network (WLAN)
positioning methods using augmented sparse recovery algorithms. These schemes
render a sparse user's position vector, and in parallel, minimize the distance
between the online measurement and radio map. The overall localization scheme
for both ... | [
{
"created": "Tue, 18 Oct 2016 03:37:11 GMT",
"version": "v1"
}
] | 2016-10-20 | [
[
"Khalajmehrabadi",
"Ali",
""
],
[
"Gatsis",
"Nikolaos",
""
],
[
"Pack",
"Daniel",
""
],
[
"Akopian",
"David",
""
]
] | In this paper, we introduce two indoor Wireless Local Area Network (WLAN) positioning methods using augmented sparse recovery algorithms. These schemes render a sparse user's position vector, and in parallel, minimize the distance between the online measurement and radio map. The overall localization scheme for both me... |
2103.04443 | Oliver Hohlfeld | Daniel Kopp and Christoph Dietzel and Oliver Hohlfeld | DDoS Never Dies? An IXP Perspective on DDoS Amplification Attacks | To appear at PAM 2021 | null | null | null | cs.CR cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | DDoS attacks remain a major security threat to the continuous operation of
Internet edge infrastructures, web services, and cloud platforms. While a large
body of research focuses on DDoS detection and protection, to date we
ultimately failed to eradicate DDoS altogether. Yet, the landscape of DDoS
attack mechanisms ... | [
{
"created": "Sun, 7 Mar 2021 20:22:03 GMT",
"version": "v1"
}
] | 2021-03-09 | [
[
"Kopp",
"Daniel",
""
],
[
"Dietzel",
"Christoph",
""
],
[
"Hohlfeld",
"Oliver",
""
]
] | DDoS attacks remain a major security threat to the continuous operation of Internet edge infrastructures, web services, and cloud platforms. While a large body of research focuses on DDoS detection and protection, to date we ultimately failed to eradicate DDoS altogether. Yet, the landscape of DDoS attack mechanisms is... |
2001.03643 | Sajjad Arshad | Sajjad Arshad | Understanding and Mitigating the Security Risks of Content Inclusion in
Web Browsers | Doctor of Philosophy (PhD) Thesis Khoury College of Computer
Sciences, Northeastern University Boston, MA, USA, April 2019 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Thanks to the wide range of features offered by web browsers, modern websites
include various types of content such as JavaScript and CSS in order to create
interactive user interfaces. Browser vendors also provided extensions to
enhance web browsers with additional useful capabilities that are not
necessarily mainta... | [
{
"created": "Fri, 10 Jan 2020 19:38:58 GMT",
"version": "v1"
}
] | 2020-01-14 | [
[
"Arshad",
"Sajjad",
""
]
] | Thanks to the wide range of features offered by web browsers, modern websites include various types of content such as JavaScript and CSS in order to create interactive user interfaces. Browser vendors also provided extensions to enhance web browsers with additional useful capabilities that are not necessarily maintain... |
1511.08447 | Brijesh Dongol | Brijesh Dongol, Robert M. Hierons | Decidability and Complexity for Quiescent Consistency and its Variations | null | null | null | null | cs.LO cs.DC cs.DS cs.FL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Quiescent consistency is a notion of correctness for a concurrent object that
gives meaning to the object's behaviours in quiescent states, i.e., states in
which none of the object's operations are being executed. Correctness of an
implementation object is defined in terms of a corresponding abstract
specification. T... | [
{
"created": "Thu, 26 Nov 2015 16:46:30 GMT",
"version": "v1"
}
] | 2015-11-30 | [
[
"Dongol",
"Brijesh",
""
],
[
"Hierons",
"Robert M.",
""
]
] | Quiescent consistency is a notion of correctness for a concurrent object that gives meaning to the object's behaviours in quiescent states, i.e., states in which none of the object's operations are being executed. Correctness of an implementation object is defined in terms of a corresponding abstract specification. Thi... |
2202.01013 | Chukwuemeka Ibe | Ibe Chukwuemeka Emmanuel and Ekaterina Mitrofanova | Fairness of Machine Learning Algorithms in Demography | This is an empirical replication study but with other demographic
data. The theory and method description is heavily based on the
arXiv:2006.10531 | null | null | null | cs.LG cs.AI cs.CY | http://creativecommons.org/licenses/by/4.0/ | The paper is devoted to the study of the model fairness and process fairness
of the Russian demographic dataset by making predictions of divorce of the 1st
marriage, religiosity, 1st employment and completion of education. Our goal was
to make classifiers more equitable by reducing their reliance on sensitive
feature... | [
{
"created": "Wed, 2 Feb 2022 13:12:35 GMT",
"version": "v1"
}
] | 2022-02-03 | [
[
"Emmanuel",
"Ibe Chukwuemeka",
""
],
[
"Mitrofanova",
"Ekaterina",
""
]
] | The paper is devoted to the study of the model fairness and process fairness of the Russian demographic dataset by making predictions of divorce of the 1st marriage, religiosity, 1st employment and completion of education. Our goal was to make classifiers more equitable by reducing their reliance on sensitive features ... |
2405.09880 | Yuchen Guo | Yuchen Guo, Hanqun Cao, Lok Ming Lui | Deep Learning-Based Quasi-Conformal Surface Registration for Partial 3D
Faces Applied to Facial Recognition | null | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | 3D face registration is an important process in which a 3D face model is
aligned and mapped to a template face. However, the task of 3D face
registration becomes particularly challenging when dealing with partial face
data, where only limited facial information is available. To address this
challenge, this paper pres... | [
{
"created": "Thu, 16 May 2024 08:03:41 GMT",
"version": "v1"
}
] | 2024-05-17 | [
[
"Guo",
"Yuchen",
""
],
[
"Cao",
"Hanqun",
""
],
[
"Lui",
"Lok Ming",
""
]
] | 3D face registration is an important process in which a 3D face model is aligned and mapped to a template face. However, the task of 3D face registration becomes particularly challenging when dealing with partial face data, where only limited facial information is available. To address this challenge, this paper presen... |
1810.11934 | Shantanu Shahane | Shantanu Shahane, Narayana R. Aluru, Surya Pratap Vanka | Uncertainty Quantification in Three Dimensional Natural Convection using
Polynomial Chaos Expansion and Deep Neural Networks | null | null | 10.1016/j.ijheatmasstransfer.2019.05.014 | null | cs.NA physics.comp-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper analyzes the effects of input uncertainties on the outputs of a
three dimensional natural convection problem in a differentially heated cubical
enclosure. Two different cases are considered for parameter uncertainty
propagation and global sensitivity analysis. In case A, stochastic variation is
introduced ... | [
{
"created": "Mon, 29 Oct 2018 03:24:11 GMT",
"version": "v1"
},
{
"created": "Tue, 8 Jan 2019 15:41:30 GMT",
"version": "v2"
}
] | 2020-10-06 | [
[
"Shahane",
"Shantanu",
""
],
[
"Aluru",
"Narayana R.",
""
],
[
"Vanka",
"Surya Pratap",
""
]
] | This paper analyzes the effects of input uncertainties on the outputs of a three dimensional natural convection problem in a differentially heated cubical enclosure. Two different cases are considered for parameter uncertainty propagation and global sensitivity analysis. In case A, stochastic variation is introduced in... |
1209.6476 | Reena Philips Mrs | K. S. Rashmi, V. Suma, M. Vaidehi | Factors Influencing Job Rejections in Cloud Environment | 6 Pages, 5 Figures, 8 Tables | null | null | null | cs.DC cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The IT organizations invests heavy capital by consuming large scale
infrastructure and advanced operating platforms. The advances in technology has
resulted in emergence of cloud computing, which is promising technology to
achieve the aforementioned objective. At the peak hours, the jobs arriving to
the cloud system ... | [
{
"created": "Fri, 28 Sep 2012 10:39:04 GMT",
"version": "v1"
}
] | 2012-10-01 | [
[
"Rashmi",
"K. S.",
""
],
[
"Suma",
"V.",
""
],
[
"Vaidehi",
"M.",
""
]
] | The IT organizations invests heavy capital by consuming large scale infrastructure and advanced operating platforms. The advances in technology has resulted in emergence of cloud computing, which is promising technology to achieve the aforementioned objective. At the peak hours, the jobs arriving to the cloud system ar... |
1911.10499 | Milan Lopuha\"a-Zwakenberg | Milan Lopuha\"a-Zwakenberg, Zitao Li, Boris \v{S}kori\'c and Ninghui
Li | Improving Frequency Estimation under Local Differential Privacy | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Local Differential Privacy protocols are stochastic protocols used in data
aggregation when individual users do not trust the data aggregator with their
private data. In such protocols there is a fundamental tradeoff between user
privacy and aggregator utility. In the setting of frequency estimation,
established boun... | [
{
"created": "Sun, 24 Nov 2019 10:51:43 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Sep 2020 08:02:53 GMT",
"version": "v2"
}
] | 2020-09-04 | [
[
"Lopuhaä-Zwakenberg",
"Milan",
""
],
[
"Li",
"Zitao",
""
],
[
"Škorić",
"Boris",
""
],
[
"Li",
"Ninghui",
""
]
] | Local Differential Privacy protocols are stochastic protocols used in data aggregation when individual users do not trust the data aggregator with their private data. In such protocols there is a fundamental tradeoff between user privacy and aggregator utility. In the setting of frequency estimation, established bounds... |
2011.07661 | Luca Parisi | Luca Parisi, Renfei Ma, Narrendar RaviChandran and Matteo Lanzillotta | hyper-sinh: An Accurate and Reliable Function from Shallow to Deep
Learning in TensorFlow and Keras | 19 pages, 6 listings/Python code snippets, 4 figures, 5 tables | null | 10.1016/j.mlwa.2021.100112 | null | cs.CV cs.AI cs.CL cs.LG cs.NE | http://creativecommons.org/licenses/by/4.0/ | This paper presents the 'hyper-sinh', a variation of the m-arcsinh activation
function suitable for Deep Learning (DL)-based algorithms for supervised
learning, such as Convolutional Neural Networks (CNN). hyper-sinh, developed in
the open source Python libraries TensorFlow and Keras, is thus described and
validated ... | [
{
"created": "Sun, 15 Nov 2020 23:38:59 GMT",
"version": "v1"
}
] | 2021-08-19 | [
[
"Parisi",
"Luca",
""
],
[
"Ma",
"Renfei",
""
],
[
"RaviChandran",
"Narrendar",
""
],
[
"Lanzillotta",
"Matteo",
""
]
] | This paper presents the 'hyper-sinh', a variation of the m-arcsinh activation function suitable for Deep Learning (DL)-based algorithms for supervised learning, such as Convolutional Neural Networks (CNN). hyper-sinh, developed in the open source Python libraries TensorFlow and Keras, is thus described and validated as... |
1911.01318 | Michael Segundo Ortiz | Michael Segundo Ortz | Sequential/Spatial, a Survey of Interactive Information Retrieval
Methods for Controlled Experimentation and Evaluation | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This survey presents studies that investigated non-spatial (sequential) and
spatial information retrieval systems in parallel during a battery of
information-seeking tasks with respect to user navigational behaviors,
incidental learning, retrieval performance, cognitive abilities & load, direct
manipulation of 2D & 3... | [
{
"created": "Mon, 4 Nov 2019 16:30:39 GMT",
"version": "v1"
}
] | 2019-11-05 | [
[
"Ortz",
"Michael Segundo",
""
]
] | This survey presents studies that investigated non-spatial (sequential) and spatial information retrieval systems in parallel during a battery of information-seeking tasks with respect to user navigational behaviors, incidental learning, retrieval performance, cognitive abilities & load, direct manipulation of 2D & 3D ... |
2308.00862 | Sarah Shoker | Sarah Shoker, Andrew Reddie, Sarah Barrington, Ruby Booth, Miles
Brundage, Husanjot Chahal, Michael Depp, Bill Drexel, Ritwik Gupta, Marina
Favaro, Jake Hecla, Alan Hickey, Margarita Konaev, Kirthi Kumar, Nathan
Lambert, Andrew Lohn, Cullen O'Keefe, Nazneen Rajani, Michael Sellitto,
Robert Trager, Leah Walker, ... | Confidence-Building Measures for Artificial Intelligence: Workshop
Proceedings | null | null | null | null | cs.CY | http://creativecommons.org/licenses/by/4.0/ | Foundation models could eventually introduce several pathways for undermining
state security: accidents, inadvertent escalation, unintentional conflict, the
proliferation of weapons, and the interference with human diplomacy are just a
few on a long list. The Confidence-Building Measures for Artificial
Intelligence w... | [
{
"created": "Tue, 1 Aug 2023 22:20:11 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Aug 2023 20:06:39 GMT",
"version": "v2"
}
] | 2023-08-07 | [
[
"Shoker",
"Sarah",
""
],
[
"Reddie",
"Andrew",
""
],
[
"Barrington",
"Sarah",
""
],
[
"Booth",
"Ruby",
""
],
[
"Brundage",
"Miles",
""
],
[
"Chahal",
"Husanjot",
""
],
[
"Depp",
"Michael",
""
],
[
"... | Foundation models could eventually introduce several pathways for undermining state security: accidents, inadvertent escalation, unintentional conflict, the proliferation of weapons, and the interference with human diplomacy are just a few on a long list. The Confidence-Building Measures for Artificial Intelligence wor... |
1902.09711 | Jing Yan | Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng | Detecting Data Errors with Statistical Constraints | null | null | null | null | cs.DB | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A powerful approach to detecting erroneous data is to check which potentially
dirty data records are incompatible with a user's domain knowledge. Previous
approaches allow the user to specify domain knowledge in the form of logical
constraints (e.g., functional dependency and denial constraints). We extend the
constr... | [
{
"created": "Tue, 26 Feb 2019 02:44:20 GMT",
"version": "v1"
}
] | 2019-02-27 | [
[
"Yan",
"Jing Nathan",
""
],
[
"Schulte",
"Oliver",
""
],
[
"Wang",
"Jiannan",
""
],
[
"Cheng",
"Reynold",
""
]
] | A powerful approach to detecting erroneous data is to check which potentially dirty data records are incompatible with a user's domain knowledge. Previous approaches allow the user to specify domain knowledge in the form of logical constraints (e.g., functional dependency and denial constraints). We extend the constrai... |
2305.09641 | Alexandros Lattas | Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Baris
Gecer, Jiankang Deng, Stefanos Zafeiriou | FitMe: Deep Photorealistic 3D Morphable Model Avatars | Accepted at CVPR 2023, project page at https://lattas.github.io/fitme
, 17 pages including supplementary material | null | null | null | cs.CV cs.GR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we introduce FitMe, a facial reflectance model and a
differentiable rendering optimization pipeline, that can be used to acquire
high-fidelity renderable human avatars from single or multiple images. The
model consists of a multi-modal style-based generator, that captures facial
appearance in terms of ... | [
{
"created": "Tue, 16 May 2023 17:42:45 GMT",
"version": "v1"
}
] | 2023-05-17 | [
[
"Lattas",
"Alexandros",
""
],
[
"Moschoglou",
"Stylianos",
""
],
[
"Ploumpis",
"Stylianos",
""
],
[
"Gecer",
"Baris",
""
],
[
"Deng",
"Jiankang",
""
],
[
"Zafeiriou",
"Stefanos",
""
]
] | In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering optimization pipeline, that can be used to acquire high-fidelity renderable human avatars from single or multiple images. The model consists of a multi-modal style-based generator, that captures facial appearance in terms of di... |
1712.07810 | Zhao Li | Zhao Li, Fengjuan Guo, Kang G Shin, Yinghou Liu, and Jia Liu | Interference Steering to Manage Interference | null | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To enable densely deployed base stations (BSs) or access points (APs) to
serve an increasing number of users and provide diverse mobile services, we
need to improve spectrum utilization in wireless communication networks.
Although spectral efficiency (SE) can be enhanced via smart and dynamic
resource allocation, int... | [
{
"created": "Thu, 21 Dec 2017 06:32:43 GMT",
"version": "v1"
}
] | 2017-12-22 | [
[
"Li",
"Zhao",
""
],
[
"Guo",
"Fengjuan",
""
],
[
"Shin",
"Kang G",
""
],
[
"Liu",
"Yinghou",
""
],
[
"Liu",
"Jia",
""
]
] | To enable densely deployed base stations (BSs) or access points (APs) to serve an increasing number of users and provide diverse mobile services, we need to improve spectrum utilization in wireless communication networks. Although spectral efficiency (SE) can be enhanced via smart and dynamic resource allocation, inter... |
2211.09019 | Minttu Alakuijala | Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce and
Cordelia Schmid | Learning Reward Functions for Robotic Manipulation by Observing Humans | null | null | null | null | cs.RO cs.AI cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Observing a human demonstrator manipulate objects provides a rich, scalable
and inexpensive source of data for learning robotic policies. However,
transferring skills from human videos to a robotic manipulator poses several
challenges, not least a difference in action and observation spaces. In this
work, we use unla... | [
{
"created": "Wed, 16 Nov 2022 16:26:48 GMT",
"version": "v1"
},
{
"created": "Tue, 7 Mar 2023 16:29:49 GMT",
"version": "v2"
}
] | 2023-03-08 | [
[
"Alakuijala",
"Minttu",
""
],
[
"Dulac-Arnold",
"Gabriel",
""
],
[
"Mairal",
"Julien",
""
],
[
"Ponce",
"Jean",
""
],
[
"Schmid",
"Cordelia",
""
]
] | Observing a human demonstrator manipulate objects provides a rich, scalable and inexpensive source of data for learning robotic policies. However, transferring skills from human videos to a robotic manipulator poses several challenges, not least a difference in action and observation spaces. In this work, we use unlabe... |
2204.07749 | Mamtaj Akter | Mamtaj Akter, Amy Godfrey, Jess Kropczynski, Heather Lipford, and
Pamela Wisniewski | From Parental Control to Joint Family Oversight: Can Parents and Teens
Manage Mobile Online Safety and Privacy as Equals? | null | null | 10.1145/3512904 | null | cs.HC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Our research aims to highlight and alleviate the complex tensions around
online safety, privacy, and smartphone usage in families so that parents and
teens can work together to better manage mobile privacy and security-related
risks. We developed a mobile application ("app") for Community Oversight of
Privacy and Sec... | [
{
"created": "Sat, 16 Apr 2022 08:30:08 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Apr 2024 03:18:34 GMT",
"version": "v2"
}
] | 2024-04-17 | [
[
"Akter",
"Mamtaj",
""
],
[
"Godfrey",
"Amy",
""
],
[
"Kropczynski",
"Jess",
""
],
[
"Lipford",
"Heather",
""
],
[
"Wisniewski",
"Pamela",
""
]
] | Our research aims to highlight and alleviate the complex tensions around online safety, privacy, and smartphone usage in families so that parents and teens can work together to better manage mobile privacy and security-related risks. We developed a mobile application ("app") for Community Oversight of Privacy and Secur... |
1905.11244 | Andrew Collins Mr | Andrew Collins, Joeran Beel | Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in
Digital Library Recommender Systems | null | null | null | null | cs.IR cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Many recommendation algorithms are available to digital library recommender
system operators. The effectiveness of algorithms is largely unreported by way
of online evaluation. We compare a standard term-based recommendation approach
to two promising approaches for related-article recommendation in digital
libraries:... | [
{
"created": "Mon, 27 May 2019 14:05:50 GMT",
"version": "v1"
}
] | 2019-05-28 | [
[
"Collins",
"Andrew",
""
],
[
"Beel",
"Joeran",
""
]
] | Many recommendation algorithms are available to digital library recommender system operators. The effectiveness of algorithms is largely unreported by way of online evaluation. We compare a standard term-based recommendation approach to two promising approaches for related-article recommendation in digital libraries: d... |
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