137
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COLT
2006
Springer
15 years 7 months ago
2006
Springer
In this paper, we study a sequential decision making problem. The objective is to maximize the total reward while satisfying constraints, which are defined at every time step. The...
132
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FGR
2004
IEEE
15 years 7 months ago
2004
IEEE
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
137
click to vote
COLT
2006
Springer
15 years 7 months ago
2006
Springer
We consider online learning in repeated decision problems, within the framework of a repeated game against an arbitrary opponent. For repeated matrix games, well known results esta...
123
click to vote
FGR
2004
IEEE
15 years 7 months ago
2004
IEEE
We present results of the first study to examine individual and multi-modal face recognition using 2D, 3D and infrared images of the same set of subjects. Each sensor captures dif...
122
click to vote
COLT
2006
Springer
15 years 7 months ago
2006
Springer
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...