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NIPS
2003
15 years 8 months ago
Bias-Corrected Bootstrap and Model Uncertainty
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
Harald Steck, Tommi Jaakkola
ICPR
2008
IEEE
16 years 1 months ago
Improvements in hidden Markov model based Arabic OCR
This paper describes recent advances in hidden Markov model (HMM) based OCR for machine-printed Arabic documents. A combination of scriptindependent and script-specific techniques...
Rohit Prasad, Shirin Saleem, Matin Kamali, Ralf Me...
TNN
2010
216views Management» more  TNN 2010»
15 years 1 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ACL
2008
15 years 8 months ago
Applying a Grammar-Based Language Model to a Simplified Broadcast-News Transcription Task
We propose a language model based on a precise, linguistically motivated grammar (a hand-crafted Head-driven Phrase Structure Grammar) and a statistical model estimating the proba...
Tobias Kaufmann, Beat Pfister
ICPR
2008
IEEE
16 years 1 months ago
A study of semi-tied covariance modeling for online handwritten Chinese character recognition
This paper presents a new approach to largevocabulary online handwritten Chinese character recognition based on semi-tied covariance (STC) modeling. Detailed procedures are descri...
Yongqiang Wang, Qiang Huo