This paper proposes the use of several ontological techniques to provide a semantic level solution for a search agent so that it can provide fast, precise, and stable search resul...
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
— In this paper a method for the fast determination of distortion-based optimal unequal error protection (UEP) of bitstreams generated by embedded image coders is described. The ...
In this paper we address the problem of detecting shots of subjects that are interviewed in news sequences. This is useful since usually these kinds of scenes contain important an...
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...