240 search results - page 6 / 48 » Robust Multi-Objective Optimization in High Dimensional Spac... |
ICRA
2002
IEEE
15 years 2 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) ...
70
Voted
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
SIGMOD
2001
ACM
15 years 9 months ago
2001
ACM
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...