Programming Collective Intelligence: Building Smart Web 2.0 Applications
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Introduction to Algorithms
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The Elements of Statistical Learning
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
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Digital Image Processing (3rd Edition)
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Neural Networks for Pattern Recognition
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Digital Image Processing Using MATLAB(R)
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Pattern Classification (2nd Edition)
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Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series)
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Machine Learning
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Kernel Methods for Pattern Analysis
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Introduction to Machine Learning (Adaptive Computation and Machine Learning)
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Algorithms for Image Processing and Computer Vision
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Information Theory, Inference & Learning Algorithms
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Digital Image Processing (2nd Edition)
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Pattern Recognition and Neural Networks
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Practical Algorithms for Image Analysis: Descriptions, Examples, and Code
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Machine Learning (Mcgraw-Hill International Edit)
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Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
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Markov Models for Pattern Recognition: From Theory to Applications
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Image Processing And Analysis: Variational, Pde, Wavelet, And Stochastic Methods
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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Statistical Pattern Recognition, 2nd Edition
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Applied Pattern Recognition, Fourth Edition: Algorithms and Implementation in C++
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Hidden Markov Models: Estimation and Control (Stochastic Modelling and Applied Probability)
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Support Vector Machines for Pattern Classification (Advances in Pattern Recognition)
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Feature Extraction in Computer Vision and Image Processing
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Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series)
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Pattern Recognition and Neural Networks
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