3378 search results - page 301 / 676 » Learning in Friedberg Numberings |
167
click to vote
ICPR
2008
IEEE
16 years 8 months ago
2008
IEEE
The objective of this work is classifying texture from a single image under unknown lighting conditions. The current and successful approach to this task is to treat it as a stati...
166
click to vote
ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
179
Voted
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We consider a sequential decision problem where the rewards are generated by a piecewise-stationary distribution. However, the different reward distributions are unknown and may c...
182
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
162
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Although each iteration of the popular kMeans clustering heuristic scales well to larger problem sizes, it often requires an unacceptably-high number of iterations to converge to ...