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» Pattern Recognition Using Functions of Multiple Instances
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ICASSP
2010
IEEE
15 years 4 months ago
Partial sequence matching using an Unbounded Dynamic Time Warping algorithm
Before the advent of Hidden Markov Models(HMM)-based speech recognition, many speech applications were built using pattern matching algorithms like the Dynamic Time Warping (DTW) ...
Xavier Anguera, Robert Macrae, Nuria Oliver
PR
2008
154views more  PR 2008»
15 years 4 months ago
Data-driven decomposition for multi-class classification
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
Jie Zhou, Hanchuan Peng, Ching Y. Suen
143
Voted
BMCBI
2007
130views more  BMCBI 2007»
15 years 4 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
131
Voted
DATE
2007
IEEE
173views Hardware» more  DATE 2007»
15 years 11 months ago
Architectural leakage-aware management of partitioned scratchpad memories
Partitioning a memory into multiple blocks that can be independently accessed is a widely used technique to reduce its dynamic power. For embedded systems, its benefits can be ev...
Olga Golubeva, Mirko Loghi, Massimo Poncino, Enric...
MCS
2004
Springer
15 years 10 months ago
Experiments on Ensembles with Missing and Noisy Data
Abstract. One of the potential advantages of multiple classifier systems is an increased robustness to noise and other imperfections in data. Previous experiments on classificati...
Prem Melville, Nishit Shah, Lilyana Mihalkova, Ray...