502 search results - page 78 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
CIS
2005
Springer
14 years 2 months ago
2005
Springer
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
JCP
2008
13 years 8 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
IGARSS
2009
13 years 6 months ago
2009
In this study, the authors investigate the use of hyperspectral imaging for food crop monitoring and contamination detection and characterization. The authors investigate the use ...
SGP
2003
13 years 10 months ago
2003
We propose a scheme for modeling point sample geometry with statistical analysis. In our scheme we depart from the current schemes that deterministically represent the attributes ...