576 search results - page 73 / 116 » Structured metric learning for high dimensional problems |
DATESO
2010
13 years 5 months ago
2010
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
PAMI
2012
11 years 10 months ago
2012
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
ML
2008
ACM
13 years 6 months ago
2008
ACM
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...