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  • Learning Sparse Representations for Computer Vision Applications
    颁布单位：[University of Alberta] |  颁布时间：2017 |  实施时间：2017 |  学科分类：[Object, Classification, People, Counting, Compressed, Sensing, Multi-Modal, Dictionary, Learning, Joint, Optimization, Sparse, Representation, Feature, Selection, Low-rank, Learning, Joint, Dictionary, Learning, and, Dimensionality, Reduction, Crowd, Counting, Dictionary, Learning, Dimensionality, Reduction]
    预览  |  原文链接    [浏览：11 下载：1]
  • Solving Association Problems with Convex Co-embedding
    颁布单位：[University of Alberta] |  颁布时间：2017 |  实施时间：2017 |  学科分类：[Constrained, Co-embedding, Structured, Output, Prediction, Link, Prediction, Association, Learning, Embedding, Inference, Convex, Co-embedding, Association, Problems, Semantic, Embedding, Multilabel, Classification, Relation, Learning, Co-embedding, Joint, Embedding, Knowledge, Graph, Completion, Convex, Optimization]
    预览  |  原文链接    [浏览：3 下载：0]
  • Toward Practical Reinforcement Learning Algorithms: Classification Based Policy Iteration and Model-Based Learning
    颁布单位：[University of Alberta] |  颁布时间：2017 |  实施时间：2017 |  学科分类：[Reinforcement, Learning, Factored, Linear, Models, Classification, Calibration, Classification, Factored, Semi-linear, Models, Model-Based, Reinforcement, Learning, Classification-Based, Policy, Iteration, Machine, Learning]
    预览  |  原文链接    [浏览：3 下载：0]