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COLING
2008
13 years 9 months ago
A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech
This paper describes an incremental approach to parsing transcribed spontaneous speech containing disfluencies with a Hierarchical Hidden Markov Model (HHMM). This model makes use...
Tim Miller, William Schuler
BMCBI
2008
137views more  BMCBI 2008»
13 years 7 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
CVIU
2006
222views more  CVIU 2006»
13 years 7 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICDAR
2009
IEEE
13 years 5 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
NAR
2007
90views more  NAR 2007»
13 years 7 months ago
The SUPERFAMILY database in 2007: families and functions
The SUPERFAMILY database provides protein domain assignments, at the SCOP ‘superfamily’ level, for the predicted protein sequences in over 400 completed genomes. A superfamily...
Derek Wilson, Martin Madera, Christine Vogel, Cyru...