14761 search results - page 2501 / 2953 » Optimization in Data Mining |
193
click to vote
ICCV
2009
IEEE
16 years 12 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
211
click to vote
CVPR
1998
IEEE
16 years 9 months ago
1998
IEEE
We propose a methodfor segmenting gray-value images. By segmentation, we mean a map from the set of pixels to a small set of levels such that each connected component of the set o...
188
click to vote
CVPR
2006
IEEE
16 years 9 months ago
2006
IEEE
Many computer vision applications, such as scene analysis and medical image interpretation, are ill-suited for traditional classification where each image can only be associated w...
179
click to vote
CVPR
2006
IEEE
16 years 9 months ago
2006
IEEE
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
196
click to vote
CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...