The emergence of high-speed communication systems has enabled the support of complex multimedia applications. The traffic patterns generated by such applications are likely to be ...
The UCLA Parallel Particle-in-Cell (UPIC) Framework, is designed to provide trusted components for building a variety of parallel Particle-in-Cell (PIC) codes. It is based on the ...
In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...