With the recent advances in massively parallel programmable processor networks, methods for the infusion of massive MIMD parallelism into programs have become increasingly relevant...
This paper presents a novel method for image classification. It differs from previous approaches by computing image similarity based on region matching. Firstly, the images to be ...
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as we...
Jacob Abernethy, Olivier Chapelle, Carlos Castillo
What makes a good consistency ? Depending on the constraint, it may be a good pruning power or a low computational cost. By "weakening" arc-consistency, we propose to de...
Andrei Legtchenko, Arnaud Lallouet, AbdelAli Ed-Db...
We consider the problem of deriving class-size independent generalization bounds for some regularized discriminative multi-category classification methods. In particular, we obtai...