5092 search results - page 294 / 1019 » Clustering the Feature Space |
244
click to vote
ECCV
2008
Springer
16 years 9 months ago
2008
Springer
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
242
click to vote
SC
2005
ACM
16 years 29 days ago
2005
ACM
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
168
click to vote
SARA
2005
Springer
16 years 27 days ago
2005
Springer
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
205
click to vote
ICPR
2004
IEEE
16 years 8 months ago
2004
IEEE
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
215
click to vote
ICML
2004
IEEE
16 years 8 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...