65 search results - page 1 / 13 » Is Nonparametric Learning Practical in Very High Dimensional... |
IJCAI
1997
13 years 6 months ago
1997
Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
ICRA
2002
IEEE
13 years 9 months ago
2002
IEEE
We apply the auxiliary particle filter algorithm of Pitt and Shephard (1999) to the problem of robot localization. To deal with the high-dimensional sensor observations (images) ...
ICML
2009
IEEE
13 years 11 months ago
2009
IEEE
Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bo...
CVPR
1997
IEEE
14 years 6 months ago
1997
IEEE
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model databases are large, the use...