502 search results - page 56 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
NIPS
2001
13 years 10 months ago
2001
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
ICASSP
2010
IEEE
13 years 3 months ago
2010
IEEE
In this paper we propose an iterative algorithm for solving the problem of extracting a sparse source signal when a reference signal for the desired source signal is available. In...
MM
2005
ACM
14 years 2 months ago
2005
ACM
This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require...
ADC
2004
Springer
14 years 2 months ago
2004
Springer
XML is becoming the dominant standard for representing and exchanging data on the World Wide Web. The ability to transform and present data in XML is crucial and XSLT (Extensible ...
MICCAI
2005
Springer
14 years 9 months ago
2005
Springer
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...