The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...
This paper discusses the issues involved in implementing a dynamic programming algorithm for biological sequence comparison on a generalpurpose parallel computing platform based o...
W. S. Martins, Juan del Cuvillo, F. J. Useche, Kev...
The paper describes initial results in an ongoing project aimed at providing and analyzing standardized, representative data sets for typical context recognition tasks. Such data ...
Ernst A. Heinz, Kai S. Kunze, Stefan Sulistyo, Hol...
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
1 Over the last years, an increasing number of safety-critical tasks have been demanded to computer systems. In particular, safety-critical computer-based applications are hitting ...
Maurizio Rebaudengo, Matteo Sonza Reorda, Marco To...