3006 search results - page 92 / 602 » Dimensionality reduction and generalization |
GMP
2006
IEEE
14 years 4 months ago
2006
IEEE
Proper treatment of selections is essential in parametric feature-based design. Data exchange is one of the most important operators in any design paradigm. In this paper we addre...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
KR
2010
Springer
14 years 2 months ago
2010
Springer
A plan with rich control structures like branches and loops can usually serve as a general solution that solves multiple planning instances in a domain. However, the correctness o...
ECCV
2004
Springer
14 years 12 months ago
2004
Springer
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...