A Comparison of Hidden Markov Model Features for the Recognition of Cursive Handwriting (1996)

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by Scott Connell
Citations:5 - 1 self

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4 A Robust Loose Coupling for Speech Recognition and Natural Language Understanding – Eric K. Ringger - 1995
10 Online Handwriting Recognition Using Multiple Pattern Class Models – Scott D. Connell - 2000
170 Hidden Markov processes – Yariv Ephraim, Neri Merhav - 2002
96 Part-of-Speech Tagging and Partial Parsing – Steven Abney - 1996
10 Statistical Source Channel Models for Natural Language Understanding – Mark E. Epstein, C Fl Mark E. Epstein - 1996
41 Lexical Modeling in a Speaker Independent Speech Understanding System – Charles Clayton Wooters - 1993
Informative Features in Vision and Learning – A. Rudra, Davi Geiger, Archisman Rudra, Archisman Rudra - 2002
8 Finding Consensus in Speech Recognition – Lidia Luminita Mangu - 2000
3 Offline Cursive Handwriting: From Word to Text Recognition – Alessandro Vinciarelli - 2003
46 Offline Cursive Script Word Recognition -- a Survey – Tal Steinherz, Ehud Rivlin, Nathan Intrator - 1999
96 Data Exploration Using Self-Organizing Maps – Samuel Kaski - 1997
Learning Latent Variable and Predictive Models of Dynamical Systems – Sajid M. Siddiqi, Andrew W. Moore, Jeff Schneider, Zoubin Ghahramani - 2009
Andreas StolckeBayesian Learning of Probabilistic Language Models – Andreas Stolcke
125 Bayesian learning of probabilistic language models – Andreas Stolcke - 1994
1 Text Mining Using HMM and PPM – Yingying Wen - 2001
64 Building Probabilistic Models for Natural Language – Stanley F. Chen - 1996
356 A practical part-of-speech tagger – Doug Cutting, Julian Kupiec, Jan Pedersen, Penelope Sibun - 1992
18 Environmental Adaptation for Robust Speech Recognition – Fu-Hua Liu - 1994
84 Markovian Models for Sequential Data – Yoshua Bengio - 1996