502 search results - page 43 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
ICNS
2007
IEEE
14 years 3 months ago
2007
IEEE
In this paper, the problem of discovering anomalies in a large-scale network based on the data fusion of heterogeneous monitors is considered. We present a classification of anoma...
PAMI
2012
11 years 11 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
BMVC
2000
13 years 10 months ago
2000
We describe a system which is designed to assist animators in extracting high-level information from sequences of images. The system is not meant to replace animators, but to be a...
IWINAC
2005
Springer
14 years 2 months ago
2005
Springer
spike separation is a basic prerequisite for analyzing of the cooperative neural behavior and neural code when registering extracelluIarly. Final performance of any spike sorting m...
ESANN
2006
13 years 10 months ago
2006
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...