This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005. The 9 revised full papers presented together with 5 invited papers reflect the key approaches that have been developed for subspace identification and feature selection using dimension reduction techniques, subspace methods, random projection methods, among others.
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ISBN | 9783540341376 |
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Sprache | eng |
Cover | C, Algorithm Analysis and Problem Complexity, Probability and Statistics in Computer Science, Computation by Abstract Devices, Artificial Intelligence, Image Processing and Computer Vision, pattern recognition, Algorithms, Theory of Computation, Computer Vision, Automated Pattern Recognition, computer science, Mathematical statistics, Computers, Optical data processing, Maths for computer scientists, Mathematical & statistical software, Image processing, Kartonierter Einband (Kt) |
Verlag | Springer Nature EN |
Jahr | 2006 |
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