We address the automatic classification of scanned input media in order to improve color calibration. Since scanner responses vary significantly according to the type of input, a ...
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
The validity of semantic inferences depends on the contexts in which they are applied. We propose a generic framework for handling contextual considerations within applied inferen...
Idan Szpektor, Ido Dagan, Roy Bar-Haim, Jacob Gold...
Video transcoding is a mechanism to convert video bitstreams from one coding format to other formats. In this operation, the computational complexity and picture quality are the t...
In this paper, we present an algorithm for multichannel blind deconvolution of seismic signals, which exploits lateral continuity of earth layers by dynamic programming approach. ...