212 search results - page 8 / 43 » Random subspace method for multivariate feature selection |
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
We present a Genetic Algorithm based feature selection approach according to which feature subsets are represented by individuals of an evolving population. Evolution is controlle...
NIPS
2007
14 years 11 months ago
2007
Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random restarts to find structures ...
ALT
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...