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  • 1
    UID:
    (DE-627)178096420X
    Format: 1 online resource (296 pages)
    ISBN: 9783030594138
    Series Statement: Lecture Notes in Computer Science Ser. v.12115
    Content: Intro -- Preface -- Organization -- Contents -- Low Rank Communication for Federated Learning -- 1 Introduction -- 2 Related Works -- 2.1 Model Pruning -- 2.2 Model Low Rank Filter and Model Quantization -- 2.3 Gradient Quantization -- 3 Federated Low Rank Algorithm -- 3.1 Overview -- 3.2 Model Compression Using SVD -- 3.3 Optimal Compression Ratio -- 3.4 Train Low Rank Parameter Matrix -- 3.5 Noise Reduction Method -- 4 Experiment -- 4.1 Datasets -- 4.2 Parameter Setting -- 4.3 Model -- 4.4 Results Analysis -- 5 Conclusions -- References -- Question Answering over Knowledge Base with Symmetric Complementary Attention -- 1 Introduction -- 2 Related Work -- 3 Overview -- 3.1 Candidate Generation -- 3.2 Joint Scoring Model -- 4 Experiments -- 4.1 Dataset and Evaluation -- 4.2 Experimental Settings -- 4.3 Results -- 4.4 Ablation Study -- 4.5 Error Analysis -- 5 Conclusion -- References -- Supervised Learning for Human Action Recognition from Multiple Kinects -- 1 Introduction -- 2 Related Work -- 2.1 RGB-Based Work -- 2.2 Skeleton-Based Work -- 3 Technical Overview -- 3.1 Microsoft Kinect -- 3.2 Random Forest -- 4 Methodology -- 4.1 Feature Vector -- 4.2 Decompose Whole Body Data into Subparts -- 4.3 Multi-views Skeleton Data -- 5 Experiment -- 5.1 Dataset and Setup -- 5.2 Whole Body Skeleton -- 5.3 Subpart Body and Hierarchical Random Forest -- 6 Conclusion -- References -- Discovery of Chasing Patterns in Trajectory Data -- 1 Introduction -- 2 Chasing Pattern Discovery Model -- 2.1 Baseline Model -- 2.2 Optimization Model -- 3 Chasing Pattern Discovery Algorithm -- 3.1 Stay Point Detection Algorithm -- 3.2 Chasing Pattern Discovery Algorithm Based on Stay Point Detection -- 4 Experimental Evaluation and Algorithm Analysis -- 4.1 Settings -- 4.2 Evaluation of Stay Points Detection Algorithm -- 4.3 Evaluation of Chasing Pattern Discovery Algorithm.
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: 9783030594121
    Additional Edition: Erscheint auch als Druck-Ausgabe 9783030594121
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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