502 search results - page 43 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
128
Voted
ICNS
2007
IEEE
15 years 6 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...
162
Voted
PAMI
2012
13 years 3 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...
113
Voted
BMVC
2000
15 years 1 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...
88
Voted
IWINAC
2005
Springer
15 years 6 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...
121
Voted
ESANN
2006
15 years 1 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...