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» Gesture Modeling and Recognition Using Finite State Machines
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ICASSP
2011
IEEE
14 years 3 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
CORR
2010
Springer
104views Education» more  CORR 2010»
14 years 6 months ago
Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse da...
Thomas W. Kelsey, W. Hamish B. Wallace
IJCNN
2006
IEEE
15 years 5 months ago
Reservoir-based techniques for speech recognition
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
David Verstraeten, Benjamin Schrauwen, Dirk Stroob...
CSL
2006
Springer
14 years 11 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
APSEC
2009
IEEE
14 years 9 months ago
A Formal Framework to Integrate Timed Security Rules within a TEFSM-Based System Specification
Abstract--Formal methods are very useful in software industry and are becoming of paramount importance in practical engineering techniques. They involve the design and the modeling...
Wissam Mallouli, Amel Mammar, Ana R. Cavalli