429 search results - page 22 / 86 » Unsupervised feature selection for principal components anal... |
ICMCS
2000
IEEE
14 years 14 hour 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...
ICCV
2009
IEEE
15 years 18 days 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...
PAMI
2007
13 years 7 months ago
2007
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
ICA
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes first and second order statistics of other independent components...