HMM topology optimization for handwriting recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2001, Pages 1521-1524

  Li, Danfeng ^a   Biem, Alain ^a,b   Subrahmonia, Jayashree ^a,b  

^a United States of America   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; MARKOV PROCESSES; MATHEMATICAL MODELS; OPTIMIZATION; STATISTICAL METHODS;

BAYESIAN INFORMATION CRITERION; HIDDEN MARKOV MODELS; ON-LINE HANDWRITING RECOGNITION;

CHARACTER RECOGNITION;

EID: 0034841803     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2001.941221     Document Type: Article

References (8)

1. Hidden markov model applied to on-line handwritten isolated character recognition
2. Real-time on-line unconstrained handwriting recognition using statistical methods
3. A new look at the statistical model indentification
4. Estimating the dimension of a model
5. The state of the art in on-line handwriting recognition
6. Bayesian model selection in social research
7. Clustering via the Bayesian information criterion with applications in speech recognition