181 search results - page 8 / 37 » Graph Embedding: A General Framework for Dimensionality Redu... |
139
click to vote
CVPR
1997
IEEE
16 years 6 months ago
1997
IEEE
A general geometrical framework for image processing is presented. We consider intensity images as surfaces in the (x I) space. The image is thereby a two dimensional surface in t...
162
click to vote
PAMI
2011
14 years 11 months ago
2011
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
144
click to vote
AAAI
2007
15 years 6 months ago
2007
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
115
click to vote
ICIP
2010
IEEE
15 years 2 months ago
2010
IEEE
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
136
click to vote
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...