Abstract. With the increasing popularity of large-scale distributed computing networks, a new aspect has to be considered for scheduling problems: machines may not be available per...
In this paper we propose a novel method for demographic classification and present an image retrieval system that can retrieve facial images by demographic information that includ...
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Abstract. To gain access to account privileges, an intruder masquerades as the proper account user. Information from user feedback helps to improve the accuracy of classifiers use...
Face detection is a canonical example of a rare event detection problem, in which target patterns occur with much lower frequency than nontargets. Out of millions of face-sized wi...