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» Fuzzy Observable Markov Models for Pattern Recognition
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ICASSP
2011
IEEE
14 years 1 months ago
Using multiple visual tandem streams in audio-visual speech recognition
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
Ibrahim Saygin Topkaya, Hakan Erdogan
ICASSP
2008
IEEE
15 years 3 months ago
Gradient steepness metrics using extended Baum-Welch transformations for universal pattern recognition tasks
In many pattern recognition tasks, given some input data and a family of models, the “best” model is defined as the one which maximizes the likelihood of the data given the m...
Tara N. Sainath, Dimitri Kanevsky, Bhuvana Ramabha...
ICASSP
2011
IEEE
14 years 1 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
CIARP
2007
Springer
15 years 3 months ago
Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems
Abstract. Fuzzy based models have been used in many areas of research. One issue with these models is that rule bases have the potential for indiscriminant growth. Inference system...
Tomás Arredondo Vidal, Félix V&aacut...
BMCBI
2007
142views more  BMCBI 2007»
14 years 9 months ago
Improving model construction of profile HMMs for remote homology detection through structural alignment
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
Juliana S. Bernardes, Alberto M. R. Dávila,...