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BMCBI
2007
115views more  BMCBI 2007»
13 years 10 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
ISVLSI
2005
IEEE
69views VLSI» more  ISVLSI 2005»
14 years 3 months ago
Pipelined Memory Controllers for DSP Applications Handling Unpredictable Data Accesses
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...
NLPRS
2001
Springer
14 years 2 months ago
Migemo: Incremental Search Method for Languages with Many Character Faces
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...
Satoru Takabayashi, Hiroyuki Komatsu, Toshiyuki Ma...
DAM
2006
63views more  DAM 2006»
13 years 10 months ago
A new family of proximity graphs: Class cover catch digraphs
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...
Jason DeVinney, Carey E. Priebe
AMW
2009
13 years 11 months ago
Temporal Support in Sequential Pattern Mining
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...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...