317 search results - page 19 / 64 » From Transformation-Based Dimensionality Reduction to Featur... |
72
Voted
ACIVS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
KES
2007
Springer
15 years 3 months ago
2007
Springer
This paper presents a completly automated face recognition system integrating both two dimensional (texture) and three dimensional (shape) features. We introduce a novel fusion str...
ECCV
2010
Springer
15 years 1 months ago
2010
Springer
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition tech...
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...