Pattern recognition systems
Handbook of pattern recognition & computer vision
Part 1. Basic methods in pattern recognition. Part 2. Basic methods in computer vision. Part 3. Recognition applications. Part 4. Inspection and robotic applications. Part 5. Architecture and technology.
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Pattern recognition and machine learning
Chapter 1: Introduction. Chapter 2: Probability distributions. Chapter 3: Linear model for regression. Chapter 4: Linear models for classification. Chapter 5: Neural networks. Chapter 6. Kernel methods. Chapter 7: Sparse Kernel machines. Chapter 8: Graphical models. Chapter 9: Mixture models and ...
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