7536 search results - page 11 / 1508 » Localized Components Analysis |
110
Voted
ICA
2007
Springer
15 years 4 months ago
2007
Springer
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
117
Voted
ECCV
2008
Springer
15 years 1 months ago
2008
Springer
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
80
Voted
TSP
2010
14 years 7 months ago
2010
Time-frequency representations constitute the main tool for analysis of nonstationary signals arising in real-life systems. One of the most challenging applications of time-frequen...
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
97
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...