We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
This paper generalizes the methods in a previous paper [10] in two ways. First, a more comprehensive analysis of the initialization problem of the Chan-Vese models is given. Secon...
J. Douglas Birdwell, Seddik M. Djouadi, Yongsheng ...
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
: Automatic model construction is a core problem in mobile robotics. To solve this task efficiently, we need a motion strategy to guide a robot equipped with a range sensor through...
—This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algori...