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Machine Learning in Computer Vision
Foreword.- Preface.- 1. Introduction.- 2. Theory: Probabilistic Classifiers.- 3. Theory: Generalization Bounds.- 4. Theory: Semi-Supervised Learning.- 5. Algorithm: Maximum Likelihood Minimum Entropy... |
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Machine Learning in Computer Vision |
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