1148 search results - page 105 / 230 » Dimensionality Reduction with Image Data |
130
Voted
ICIAP
2003
ACM
15 years 8 months ago
2003
ACM
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
141
Voted
NIPS
1997
15 years 4 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
134
Voted
FGR
2000
IEEE
15 years 8 months ago
2000
IEEE
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
129
Voted
ICIP
2002
IEEE
16 years 5 months ago
2002
IEEE
An important problem in medical imaging is that of ef?cient volumetric image compression. In addition to compression ef?ciency, scalable representations which allow access to the ...
127
Voted
IJCV
1998
15 years 3 months ago
1998
Corresponding image points of a rigid object in a discrete sequence of images fulfil the so-called multilinear constraint. In this paper the continuous time analogue of this const...