49 search results - page 7 / 10 » Dimensionality Reduction by Learning an Invariant Mapping |
ICIP
2007
IEEE
13 years 11 months ago
2007
IEEE
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
IJCAI
2007
13 years 9 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
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...