39 search results - page 7 / 8 » Covariance Regularization for Supervised Learning in High Di... |
NIPS
1996
13 years 9 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
TEC
2010
13 years 3 months ago
2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
MMM
2011
Springer
13 years 6 days ago
2011
Springer
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
ICMCS
2005
IEEE
14 years 2 months ago
2005
IEEE
ABSTRACT In this paper, we report our experiments using a realworld image dataset to examine the effectiveness of Isomap, LLE and KPCA. The 1,897-image dataset we used consists of ...