910 search results - page 36 / 182 » Progressive Principal Component Analysis |
ICMCS
2000
IEEE
14 years 1 days ago
2000
IEEE
In this paper, we present an algorithm for the tracking of target speakers in telephone conversations. Speaker tracking consists in retrieving, in an audio recording, segments whi...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
NN
2000
Springer
13 years 7 months ago
2000
Springer
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
PAMI
2002
13 years 7 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
DAC
2006
ACM
14 years 8 months ago
2006
ACM
We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...