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检索条件"机构=Data Science and Machine Learning"
1246 条 记 录,以下是71-80 订阅
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Video Label Enhancing and Standardization through Transcription and WikiId Mapping Techniques
Video Label Enhancing and Standardization through Transcript...
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Electronic Systems Devices and Computing (ESDC), International Symposium on
作者: Dinu Thomas David Pratap B G Sudha Data Science and Machine Learning PES University Bangalore India
Volume of video content surpass all other content types in internet. As per the reports from different sources, video traffic had acquired 82% of internet usage in 2022. Video is going to be more important in the year...
来源: 评论
Video understanding : Tagging of videos through self attentive learnable key descriptors
Video understanding : Tagging of videos through self attenti...
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Electronic Systems Devices and Computing (ESDC), International Symposium on
作者: Narayana Darapaneni Anwesh Reddy Paduri Dinu Thomas Jisha C U Abhinao Shrivastava Seema Biradar Data Science and Machine Learning PES University Bangalore India
In today’s world, the UGC (User Generated Contents) videos have increased exponentially. Billions of videos are uploaded, played and exchanged between different actors. In this context, automatic video content classi...
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Internet of Animal Health Things (IoAHT) Framework for Clinical Mastitis Detection in Dairy Cows  1
Internet of Animal Health Things (IoAHT) Framework for Clini...
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1st International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023
作者: Ankitha, K. Venugopala, P.S. Kunder, Harish Shetty, Ankitha NMAMIT Nitte Dept. of Artificial Intelligence and Data Science Karkala India Alvas Institute of Engineering and Technology Dept. of Artificial Intelligence and Machine Learning Moodbidri India
The Earth serves as a shared habitat not just for humans but also for an array of animal species and organisms. Throughout history, animals have played a crucial role in preserving the natural ecosystem balance and me... 详细信息
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On Fake News Detection with LLM Enhanced Semantics Mining
On Fake News Detection with LLM Enhanced Semantics Mining
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Ma, Xiaoxiao Zhang, Yuchen Ding, Kaize Yang, Jian Wu, Jia Fan, Hao School of Computing Macquarie University Sydney Australia Amazon Machine Learning Sydney Australia School of Information Management Wuhan University Hubei China Department of Statistics and Data Science Northwestern University IL United States
Large language models (LLMs) have emerged as valuable tools for enhancing textual features in various text-related tasks. Despite their superiority in capturing the lexical semantics between tokens for text analysis, ... 详细信息
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Reducing sequential change detection to sequential estimation  24
Reducing sequential change detection to sequential estimatio...
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Proceedings of the 41st International Conference on machine learning
作者: Shubhanshu Shekhar Aaditya Ramdas Department of Statistics and Data Science Carnegie Mellon University Department of Statistics and Data Science and Machine Learning Department Carnegie Mellon University
We consider the problem of sequential change detection under minimal assumptions on the distribution generating the stream of observations. Formally, our goal is to design a scheme for detecting any changes in a param...
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Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?  41
Can Gaussian Sketching Converge Faster on a Preconditioned L...
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41st International Conference on machine learning, ICML 2024
作者: Wang, Yilong Ye, Haishan Dai, Guang Tsang, Ivor W. Center for Intelligent Decision-Making and Machine Learning School of Management Xi'an Jiaotong University China SGIT AI Lab State Grid Corporation of China China Singapore College of Computing and Data Science NTU Singapore
This paper focuses on the large-scale optimization which is very popular in the big data era. The gradient sketching is an important technique in the large-scale optimization. Specifically, the random coordinate desce... 详细信息
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Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods  41
Double Stochasticity Gazes Faster: Snap-Shot Decentralized S...
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41st International Conference on machine learning, ICML 2024
作者: Di, Hao Ye, Haishan Chang, Xiangyu Dai, Guang Tsang, Ivor W. Center for Intelligent Decision-Making and Machine Learning School of Management Xi'an Jiaotong University China SGIT AI Lab State Grid Corporation of China China College of Computing and Data Science NTU Singapore Singapore
In decentralized optimization, m agents form a network and only communicate with their neighbors, which gives advantages in data ownership, privacy, and scalability. At the same time, decentralized stochastic gradient... 详细信息
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Noisy Recovery in Unlimited Sampling via Adaptive Modulo Representations
Noisy Recovery in Unlimited Sampling via Adaptive Modulo Rep...
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2024 International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging, CoSeRa 2024
作者: Patricio, Felipe Pagginelli Catala, Paul Krahmer, Felix Tu Munich Dept. of Mathematics Garching Germany Ibmi Helmholtz Munich Neuherberg Germany Institute Tu Munich Munich Center for Machine Learning Dept. of Mathematics&Munich Data Science Garching Germany
Recent works put forth the Unlimited Sensing Framework (USF), a novel approach to analog-to-digital conversion for high dynamic range sensing. It addresses the saturation phenomenon that commonly arises when physical ... 详细信息
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A human-in-the-loop method for pulmonary nodule detection in CT scans
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Visual Intelligence 2024年 第1期2卷 227-239页
作者: Qingjie Zeng Yutong Xie Zilin Lu Yong Xia National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Computer Science and EngineeringNorthwestern Polytechnical UniversityXi’an 710072China Australian Institute for Machine Learning The University of AdelaideAdelaide SA 5000Australia
Automated pulmonary nodule detection using computed tomography scans is vital in the early diagnosis of lung *** extensive well-performed methods have been proposed for this task,they suffer from the domain shift issu... 详细信息
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A Review on the Role of Artificial Intelligence in Personalized learning
A Review on the Role of Artificial Intelligence in Personali...
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2024 Asia Pacific Conference on Innovation in Technology, APCIT 2024
作者: Qureshi, Rukaiyya Hajare, Shital Verma, Prateek Sawangi Meghe Faculty of Engineering and Technology Department of Artificial Intelligence and Data Science Maharashtra Wardha442001 India Sawangi Meghe Faculty of Engineering and Technology Department of Artificial Intelligence and Machine Learning Maharashtra Wardha442001 India
This article explores the revolutionary role of Artificial Intelligence (AI) in personalized learning, focusing on its potential to revolutionize educational processes and improve learning outcomes. This paper provide... 详细信息
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