—The Web 2.0 era is characterized by the emergence of a very large amount of live content. A real time and finegrained content filtering approach can precisely keep users upto-...
Weixiong Rao, Lei Chen 0002, Pan Hui, Sasu Tarkoma
In this paper we present a method for the tracking of fluid flows velocity fields. The technique we propose is formalized within sequential Bayesian filter framework. The filter w...
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining applications, particularly for domains such as multimedia, CAD, molecular ...
This paper presents a new adaptive approach for the binarization and enhancement of degraded documents. The proposed method does not require any parameter tuning by the user and c...
Basilios Gatos, Ioannis Pratikakis, Stavros J. Per...
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining application domains including multimedia, CAD, molecular biology or medica...