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TASLP
2002
84views more  TASLP 2002»
13 years 7 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
NAACL
2007
13 years 8 months ago
Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
Letter-to-phoneme conversion generally requires aligned training data of letters and phonemes. Typically, the alignments are limited to one-to-one alignments. We present a novel t...
Sittichai Jiampojamarn, Grzegorz Kondrak, Tarek Sh...
IPCV
2010
13 years 5 months ago
Video Action Recognition Using Residual Vector Quantization and Hidden Markov Models
In this paper, we discuss usage of a multi-stage Residual Vector Quantization (RVQ) strategy for human action recognition. To the best of our knowledge, this is the first reported...
Salman Aslam, Christopher F. Barnes, Aaron F. Bobi...
DCC
1998
IEEE
13 years 11 months ago
Minimum Message Length Hidden Markov Modelling
Timothy Edgoose, Lloyd Allison
ICIP
1998
IEEE
13 years 11 months ago
Face Detection and Recognition using Hidden Markov Models
Ara V. Nefian, Monson H. Hayes III