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.
| ISBN: | 9783540341376 |
| Publication date: | 16th May 2006 |
| Author: | SLSFS 2005, Craig Saunders |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 208 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Algorithms and data structures Maths for computer scientists Pattern recognition Computer vision Probability and statistics Artificial intelligence Mathematical theory of computation |
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.
Subspace, Latent Structure and Feature Selection features in the following genres: Algorithms and data structures, Maths for computer scientists, Pattern recognition, Computer vision, Probability and statistics, Artificial intelligence, Mathematical theory of computation
Paperback. Not Available.
Subspace, Latent Structure and Feature Selection was written by SLSFS 2005, Craig Saunders and published by Springer an imprint of Springer Berlin Heidelberg
Subspace, Latent Structure and Feature Selection has 208 pages
Yes it is part of Lecture Notes in Computer Science series