Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
The file-bundle caching problem arises frequently in scientific applications where jobs process several files concurrently. Consider a host system in a data-grid that maintains...
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...
This paper presents novel algorithms that perform motion estimation for video processing and compression. We observe that "smoothness" is a very important and intuitive ...
Segmenting brain from non-brain tissue within magnetic resonance (MR) images of the human head, also known as skull-stripping, is a critical processing step in the analysis of neu...
Gautam Prasad, Anand A. Joshi, Paul M. Thompson, A...