910 search results - page 2 / 182 » Progressive Principal Component Analysis |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
ICANN
1997
Springer
13 years 9 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
EACL
2006
ACL Anthology
13 years 6 months ago
2006
ACL Anthology
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, th...
TIT
2002
13 years 5 months ago
2002
Principal curves, like principal components, are a tool used in multivariate analysis for ends like feature extraction. Defined in their original form, principal curves need not ex...
WEBI
2005
Springer
13 years 10 months ago
2005
Springer
In this work, we show that Kleinberg’s hubs and authorities model (HITS) is simply Principal Components Analysis (PCA; maybe the most widely used multivariate statistical analys...