779 search results - page 85 / 156 » Multi-Instance Dimensionality Reduction |
JMLR
2010
13 years 2 months ago
2010
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based o...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
The seminal work of Hubel and Wiesel [14] and the vast amount of work that followed it prove that hierarchies of increasingly complex cells play a central role in cortical computa...
CVPR
2007
IEEE
14 years 10 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...