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检索条件"机构=Center for Machine Intelligence and Data Science"
218 条 记 录,以下是81-90 订阅
排序:
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping
arXiv
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arXiv 2023年
作者: Butke, Joshua Hashimoto, Noriaki Takeuchi, Ichiro Miyoshi, Hiroaki Ohshima, Koichi Sakuma, Jun Machine Learning and Data Mining Lab University of Tsukuba Japan RIKEN Center for Advanced Intelligence Project Japan Department of Mechanical Systems Engineering Nagoya University Japan Department of Pathology Kurume University Japan Department of Computer Science Tokyo Institute of Technology Japan
Whole-slide image analysis via the means of computational pathology often relies on processing tessellated gigapixel images with only slide-level labels available. Applying multiple instance learning-based methods or ... 详细信息
来源: 评论
TVEG: Model Selection of the Time-Varying Exponential Family Distributions Graphical Models
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IEEE Transactions on Network science and Engineering 2025年
作者: Liu, Juan Mei, Guofeng Xia, Yuanqing Wu, Xiaoqun Lu, Jinhu Beijing Forestry University School of Technology Beijing100107 China Italy Zhongyuan University of Technology Henan 451191 China Wuhan University School of Mathematics and Statistics Wuhan430072 China Beihang University State Key Laboratory of Software Development Environment Beijing Advanced Innovation Center for Big Data and Brain Machine Intelligence School of Automation Science and Electrical Engineering Beijing100191 China
The undirected graphical model, a popular class of statistical model, offers a way to describe and explain the relationships among a set of variables. However, it remains a challenge to choose a certain graphical mode... 详细信息
来源: 评论
Audio Enhancement for Computer Audition – An Iterative Training Paradigm Using Sample Importance
arXiv
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arXiv 2024年
作者: Milling, Manuel Liu, Shuo Triantafyllopoulos, Andreas Aslan, Ilhan Schuller, Björn W. EIHW – Embedded Intelligence for Health Care & Wellbeing University of Augsburg Germany MRI Technical University of Munich Germany MCML – Munich Center for Machine Learning Germany Huawei Technologies Munich Germany MDSI – Munich Data Science Institute Germany GLAM – The Group on Language Audio & Music Imperial College London United Kingdom
Neural network models for audio tasks, such as automatic speech recognition (ASR) and acoustic scene classification (ASC), are susceptible to noise contamination for real-life applications. To improve audio quality, a... 详细信息
来源: 评论
A THEORY OF INITIALISATION’S IMPACT ON SPECIALISATION
arXiv
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arXiv 2025年
作者: Jarvis, Devon Lee, Sebastian Dominé, Clémentine Carla Juliette Saxe, Andrew M. Mannelli, Stefano Sarao School of Computer Science and Applied Mathematics University of the Witwatersrand South Africa Center for Computational Neuroscience Flatiron Institute Simons Foundation Gatsby Computational Neuroscience Unit Sainsbury Wellcome Centre UCL United Kingdom Data Science and AI Computer Science and Engineering Chalmers University of Technology University of Gothenburg Sweden Machine Intelligence and Neural Discovery Institute University of the Witwatersrand South Africa CIFAR Azrieli Global Scholar CIFAR
Prior work has demonstrated a consistent tendency in neural networks engaged in continual learning tasks, wherein intermediate task similarity results in the highest levels of catastrophic interference. This phenomeno... 详细信息
来源: 评论
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning
Temporal Knowledge Graph Reasoning via Time-Distributed Repr...
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IEEE International Conference on data Mining (ICDM)
作者: Kangzheng Liu Feng Zhao Guandong Xu Xianzhi Wang Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Data Science and Machine Intelligence Lab University of Technology Sydney Sydney Australia
Temporal knowledge graph (TKG) reasoning has attracted significant attention. Recent approaches for modeling historical information have led to great advances. However, the problems of time variability and unseen enti... 详细信息
来源: 评论
Cross-Domain Animal Pose Estimation with Skeleton Anomaly-Aware Learning
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Han, Le Chen, Kaixuan Zhao, Lei Jiang, Yangbo Wang, Pengfei Zheng, Nenggan Zhejiang Hangzhou310007 China Zhejiang University College of Computer Science and Technology Zhejiang Hangzhou310007 China Zhejiang University State Key Laboratory of Blockchain and Data Security Zhejiang Hangzhou310007 China Institute of Blockchain and Data Security. China Zhejiang University School of Software Technology Ningbo China Zhejiang University State Key Lab of Brain-Machine Intelligence Hangzhou310007 China Zhejiang Provincial Government ZJU Collaborative Innovation Center for Artificial Intelligence by MOE Hangzhou310007 China Bengbu University School of Computer and Information Engineering Bengbu233030 China
Animal pose estimation is often constrained by the scarcity of annotations and the diversity of scenarios and species. The pseudo-label generation based unsupervised domain adaptation paradigm, which discriminates the... 详细信息
来源: 评论
Homophily Induced Contrastive Attributed Graph Clustering
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Chen, Man-Sheng Lai, Pei-Yuan Liao, De-Zhang Wang, Chang-Dong Lai, Jian-Huang Sun Yat-sen University School of Computer Science and Engineering Guangzhou China Guangxi Zhuang Autonomous Region Information Center Guangxi Key Laboratory of Digital Infrastructure Nanning China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China South China Technology Commercialization Center Guangzhou China Guangdong Key Laboratory of Information Security Technology Guangzhou China
Attributed graph clustering, aiming to discover the underlying graph structure and partition the graph nodes into several disjoint categories, is a basic task in graph data analysis. Although recent efforts over graph... 详细信息
来源: 评论
An Automatic Analysis of Ultrasound Vocalisations for the Prediction of Interaction Context in Captive Egyptian Fruit Bats
An Automatic Analysis of Ultrasound Vocalisations for the Pr...
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European Signal Processing Conference (EUSIPCO)
作者: Andreas Triantafyllopoulos Alexander Gebhard Manuel Milling Simon Rampp Björn Schuller CHI - Chair of Health Informatics Technical University of Munich MRI Munich Germany EIHW - Chair of Embedded Intelligence for Health Care and Wellbeing Augsburg Germany MCML - Munich Center for Machine Learning Munich Germany MDSI - Munich Data Science Institute Munich Germany GLAM - Group on Language Audio & Music Imperial College London UK
Prior work in computational bioacoustics has mostly focused on the detection of animal presence in a particular habitat. However, animal sounds contain much richer information than mere presence; among others, they en... 详细信息
来源: 评论
Is L2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?
arXiv
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arXiv 2022年
作者: Wang, Chuwei Li, Shanda He, Di Wang, Liwei School of Mathematical Sciences Peking University China Machine Learning Department School of Computer Science Carnegie Mellon University United States National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology Peking University China Center for Data Science Peking University China Zhejiang Lab China
The Physics-Informed Neural Network (PINN) approach is a new and promising way to solve partial differential equations using deep learning. The L2 Physics-Informed Loss is the de-facto standard in training Physics-Inf... 详细信息
来源: 评论
WiViPose: A Video-aided Wi-Fi Framework for Environment-Independent 3D Human Pose Estimation
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IEEE Transactions on Multimedia 2025年
作者: Zhang, Lei Ning, Haoran Tang, Jiaxin Chen, Zhenxiang Zhong, Yaping Han, Yahong Tianjin University College of Intelligence and Computing the Tianjin Key Laboratory of Advanced Network Technology and Application Tianjin300050 China Key Laboratory of Computing Power Network and Information Security Ministry of Education China University of Jinan Shandong Provincial Key Laboratory of Ubiquitous Intelligent Computing the School of Information Science and Engineering Jinan250022 China Wuhan Sports University Sports Big-data Research Center Wuhan430079 China Tianjin University College of Intelligence and Computing the Tianjin Key Laboratory of Machine Learning Tianjin300350 China
The inherent complexity of Wi-Fi signals makes video-aided Wi-Fi 3D pose estimation difficult. The challenges include the limited generalizability of the task across diverse environments, its significant signal hetero... 详细信息
来源: 评论