166 search results - page 19 / 34 » Learning a kernel matrix for nonlinear dimensionality reduct... |
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
CMMR
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Seeking to identify the constituent parts of the multidimensional auditory attribute that musicians know as timbre, music psychologists have made extensive use of multidi...
CVPR
2007
IEEE
14 years 9 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...
JMLR
2010
13 years 2 months ago
2010
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...