Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Multimedia applications are often characterized by a large number of data accesses with regular and periodic access patterns. In these cases, optimized pipelined memory access con...
Bertrand Le Gal, Emmanuel Casseau, Sylvain Huet, E...
We introduce a new incremental search method called Migemo for languages with many character faces. Migemo performs the incremental search by dynamically expanding the input patte...
Motivated by issues in machine learning and statistical pattern classification, we investigate a class cover problem (CCP) with an associated family of directed graphs--class cove...
In sequential pattern discovery, the support of a sequence is computed as the number of data-sequences satisfying a pattern with respect to the total number of data-sequences in th...