847 search results - page 2 / 170 » HITS is Principal Components Analysis |
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 4 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...
AAAI
2004
13 years 6 months ago
2004
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
IGARSS
2009
13 years 2 months ago
2009
Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
ICIAR
2004
Springer
13 years 10 months ago
2004
Springer