93 search results - page 16 / 19 » Greedy Kernel Principal Component Analysis |
ICCV
2007
IEEE
14 years 4 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
IPPS
2008
IEEE
14 years 4 months ago
2008
IEEE
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
TNN
2008
13 years 9 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...
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
We present an algorithm for detecting human actions
based upon a single given video example of such actions.
The proposed method is unsupervised, does not require
learning, segm...