The detection of changes between OWL ontologies is an important service for ontology engineering. There are several approaches to this problem, both syntactic and semantic. A purel...
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
Human identification at a distance has recently gained growing interest from computer vision researchers. This paper aims to propose a visual recognition algorithm based upon fusi...
This paper presents a novel framework of motion compensated pre&ction(MCP) techniques in the wavelet domain for high performance video coding. Our analysis reveals fundamental...
We describe a general framework for online multiclass learning based on the notion of hypothesis sharing. In our framework sets of classes are associated with hypotheses. Thus, al...
Michael Fink 0002, Shai Shalev-Shwartz, Yoram Sing...