468 search results - page 68 / 94 » Riemannian Manifold Learning |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
COLT
2000
Springer
13 years 12 months ago
2000
Springer
The present paper deals with the averagecase complexity of various algorithms for learning univariate polynomials. For this purpose an appropriate framework is introduced. Based o...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
An algorithm is presented for online learning of rotations. The proposed algorithm involves matrix exponentiated gradient updates and is motivated by the von Neumann divergence. T...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...