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检索条件"机构=Research Laboratory of Machine Learning and Pervasive Computing"
73 条 记 录,以下是21-30 订阅
排序:
Object Segmentation based on Anti-disturb Network in Ecological Surveillance
Object Segmentation based on Anti-disturb Network in Ecologi...
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第33届中国控制与决策会议
作者: Wan Dai Hongpeng Wang Chongshan Fan Yunwei Xin College of Computer Science Nankai University Tianjin Key Laboratory of Intelligent Robotics College of Artificial Intelligence Nankai University Software College Nankai University Research Laboratory of Machine Learning and Pervasive Computing Nankai University
Visual tele-observation is an effective way for ecological *** from pedestrian or rigid body detection,wildlife recognition in natural scenes face more complex problems,such as the similarity of background and foregro... 详细信息
来源: 评论
Joint Nuclear-norm Nonlinear Manifold learning and Robust Classification by Linear Embedding
Joint Nuclear-norm Nonlinear Manifold Learning and Robust Cl...
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International Joint Conference on Neural Networks
作者: Yan Zhang Zhao Zhang Lei Jia Fanzhang Li School of Computer Science and Technology & Joint International Research Laboratory of Machine Learning and Neuromorphic Computing Soochow University
We propose a Joint nuclear norm based nonlinear Manifold learning through linear embedding with Classification, called JMLC. By including a feature approximation error into the existing nonlinear manifold learning fra... 详细信息
来源: 评论
Brain tumor cell density estimation from multi-modal MR images based on a synthetic tumor growth model
Brain tumor cell density estimation from multi-modal MR imag...
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15th International Conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2012
作者: Geremia, Ezequiel Menze, Bjoern H. Prastawa, Marcel Weber, M.-A. Criminisi, Antonio Ayache, Nicholas Asclepios Research Project INRIA Sophia-Antipolis France Computer Science and Artificial Intelligence Laboratory MIT United States Computer Vision Laboratory ETH Zurich Switzerland Scientific Computing and Imaging Institute University of Utah United States Diagnostic and Interventional Radiology Heidelberg University Hospital Germany Machine Learning and Perception Group Microsoft Research Cambridge United Kingdom
This paper proposes to employ a detailed tumor growth model to synthesize labelled images which can then be used to train an efficient data-driven machine learning tumor predictor. Our MR image synthesis step generate... 详细信息
来源: 评论
Robust L1-Norm Matrixed Locality Preserving Projection for Discriminative Subspace learning
Robust L1-Norm Matrixed Locality Preserving Projection for D...
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International Joint Conference on Neural Networks
作者: Yu Tang Zhao Zhang Yan Zhang Fanzhang Li School of Computer Science and Technology & Joint International Research Laboratory of Machine Learning and Neuromorphic Computing Soochow University Suzhou 215006 China
L1-norm maximization based Discriminant Locality Preserving Projection (DLPP-L1) is shown to be effective and robust to the outliers in given data, but DLPP-L1 is based on the vector space, so it has to convert those ... 详细信息
来源: 评论
A study on hill climbing algorithms for neural network training
A study on hill climbing algorithms for neural network train...
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Congress on Evolutionary Computation
作者: S. Chalup F. Maire Machine Learning Research Centre Neurocomputing Laboratory School of Computing Science Faculty of Information Technology Queensland University of Technology Brisbane QLD Australia
This study empirically investigates variations of hill climbing algorithms for training artificial neural networks on the 5-bit parity classification task. The experiments compare the algorithms when they use differen... 详细信息
来源: 评论
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications
arXiv
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arXiv 2023年
作者: Tu, Peter Yang, Zhaoyuan Hartley, Richard Xu, Zhiwei Zhang, Jing Fu, Yiwei Campbell, Dylan Singh, Jaskirat Wang, Tianyu Computer Vision and Machine Learning Laboratory General Electric Research NiskayunaNY United States School of Computing College of Engineering Computing and Cybernetics Australian National University Canberra Australia
This paper begins with a description of methods for estimating probability density functions for images that reflects the observation that such data is usually constrained to lie in restricted regions of the high-dime... 详细信息
来源: 评论
A Neurobehavioral Evaluation of the Efficacy of 1mA Longitudinal, Anodal TDCS on Multitasking and Transfer Performance
A Neurobehavioral Evaluation of the Efficacy of 1mA Longitud...
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Rao, Akash K Uttrani, Shashank Shah, Darshil Menon, Vishnu K Bhavsar, Arnav Roy Chowdhury, Shubhajit Negi, Ramsingh Dutt, Varun Manipal Academy of Higher Education India Indian Institute of Technology Applied Cognitive Science Laboratory Mandi India School of Computing and Electrical Engineering Indian Institute of Technology Mandi India Cognitive Control and Machine Learning Group The Institute of Nuclear Medicine and Allied Sciences Defence Research and Development Organization India
Multitasking requires rapid switching of attention and cognitive resources between different tasks in a dynamic environment, relying on cognitive processes, such as working memory, executive control, and selective att...
来源: 评论
A multi-objective deep reinforcement learning algorithm for spatio-temporal latency optimization in mobile IoT-enabled edge computing networks
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Simulation Modelling Practice and Theory 2025年 143卷
作者: Parisa Khoshvaght Amir Haider Amir Masoud Rahmani Farhad Soleimanian Gharehchopogh Ferzat Anka Jan Lansky Mehdi Hosseinzadeh Institute of Research and Development Duy Tan University Da Nang Vietnam School of Engineering & Technology Duy Tan University Da Nang Vietnam Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura 140401 Punjab India Department of AI and Robotics Sejong University Seoul 05006 Republic of Korea Future Technology Research Center National Yunlin University of Science and Technology Yunlin Taiwan Department of Computer Engineering Ur. C. Islamic Azad University Urmia Iran Data Science Application and Research Center (VEBIM) Fatih Sultan Mehmet Vakif University Istanbul Türkiye Department of Computer Science and Mathematics Faculty of Economic Studies University of Finance and Administration Prague Czech Republic Pattern Recognition and Machine Learning Laboratory School of Computing Gachon University Seongnam Republic of Korea
The rapid increase in Mobile Internet of Things (IoT) devices requires novel computational frameworks. These frameworks must meet strict latency and energy efficiency requirements in Edge and Mobile Edge computing (ME...
来源: 评论
Adaptive Neighborhood Propagation by Joint L2,1-Norm Regularized Sparse Coding for Representation and Classification
Adaptive Neighborhood Propagation by Joint L2,1-Norm Regular...
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IEEE International Conference on Data Mining (ICDM)
作者: Lei Jia Zhao Zhang Lei Wang Weiming Jiang Mingbo Zhao School of Computer Science and Technology & Joint International Research Laboratory of Machine Learning and Neuromorphic Computing Soochow University Suzhou China Department of Electronic Engineering City University of Hong Kong Kowloon Hong Kong
We propose a new transductive label propagation method, termed Adaptive Neighborhood Propagation (Adaptive-NP) by joint L2,1-norm regularized sparse coding, for semi-supervised classification. To make the predicted so... 详细信息
来源: 评论
Computational analysis of laminar structure of the human cortex based on local neuron features
arXiv
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arXiv 2019年
作者: Stajduhar, Andrija Lipic, Tomislav Sedmak, Goran Loncaric, Sven Judaš, Milos Croatian Institute for Brain Research University of Zagreb School of Medicine Šalata 12 Zagreb10000 Croatia Laboratory for Machine Learning and Knowledge Representation Rud-er Boškovic Institute Faculty of Electrical Engineering and Computing University of Zagreb
In this paper, we present a novel method for analysis and segmentation of laminar structure of the cortex based on tissue characteristics whose change across the gray matter facilitates distinction between cortical la... 详细信息
来源: 评论