Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Tera-scale high-performance computing has enabled scientists to tackle very large and computationally challenging scientific problems, making the advancement of scientific discov...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, A...
Multimedia information retrieval is a highly diverse field. A variety of data types, research problems, methodologies are involved. Researchers in the field come from very diff...
James Ze Wang, Nozha Boujemaa, Alberto Del Bimbo, ...
With the proliferation of the World Wide Web, it has become very important to provide advanced tools for maintaining referential integrity of information resources. The growing te...
This paper introduces the concept of a Parameterised Search System (PSS), which allows flexibility in user queries, and, more importantly, allows system engineers to easily defin...