We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require...
Let C be a class of probability distributions over a finite set . A function D : {0, 1}m is a disperser for C with entropy threshold k and error if for any distribution X in C s...
As the properties of components have gradually become clearer, attention has started to turn to the architectural issues which govern their interaction and composition. In this pa...
DHTs can locate objects in a peer-to-peer network within an efficient amount of overlay hops. Since an overlay hop is likely to consist of multiple physical hops, the ratio betwee...