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» Fitting hidden Markov models to psychological data
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PR
2008
145views more  PR 2008»
13 years 8 months ago
Gesture spotting with body-worn inertial sensors to detect user activities
We present a method for spotting sporadically occurring gestures in a continuous data stream from body-worn inertial sensors. Our method is based on a natural partitioning of cont...
Holger Junker, Oliver Amft, Paul Lukowicz, Gerhard...
PRL
2000
148views more  PRL 2000»
13 years 8 months ago
One-dimensional representation of two-dimensional information for HMM based handwriting recognition
: In this study, we introduce a set of one-dimensional features to represent two dimensional shape information for HMM (Hidden Markov Model) based handwritten optical character rec...
Nafiz Arica, Fatos T. Yarman-Vural
ICASSP
2009
IEEE
13 years 6 months ago
Phoneme cluster based state mapping for text-independent voice conversion
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
Meng Zhang, Jiaohua Tao, Jani Nurminen, Jilei Tian...
ICDAR
2011
IEEE
12 years 8 months ago
OCR-Driven Writer Identification and Adaptation in an HMM Handwriting Recognition System
—We present an OCR-driven writer identification algorithm in this paper. Our algorithm learns writer-specific characteristics more precisely from explicit character alignment usi...
Huaigu Cao, Rohit Prasad, Prem Natarajan
KDD
2009
ACM
203views Data Mining» more  KDD 2009»
14 years 9 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...