429 search results - page 32 / 86 » Unsupervised feature selection for principal components anal... |
RAS
2002
13 years 7 months ago
2002
This paper proposes a statistical, non-feature based, attention mechanism for a mobile robot, termed Information Sampling. The selected data may be a single pixel or a number scat...
DAGM
2004
Springer
14 years 1 months ago
2004
Springer
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
CLEAR
2007
Springer
14 years 1 months ago
2007
Springer
This paper presents the person identification system developed at Athens Information Technology and its performance in the CLEAR 2007 evaluations. The system operates on the audiov...
BMCBI
2006
13 years 7 months ago
2006
Background: Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining s...
TNN
2008
13 years 7 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...