Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
We address a hierarchical generalization of the well-known disk paging problem. In the hierarchical cooperative caching problem, a set of n machines residing in an ultrametric spa...
Xiaozhou Li, C. Greg Plaxton, Mitul Tiwari, Arun V...
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
Graph-centric and node-centric browsing are the two commonly identified hypertext-browsing paradigms. We believe that pathcentric browsing, the browsing behavior exhibited by path...
Pratik Dave, Unmil Karadkar, Richard Furuta, Luis ...
We develop an abstract framework that encompasses the key properties of bilinear groups of composite order that are required to construct secure pairing-based cryptosystems, and we...