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CVPR
2012
IEEE
13 years 8 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
ICPR
2000
IEEE
16 years 7 months ago
Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams
In this paper a robust multifont character recognition system for degraded documents such as photocopy or fax is described. The system is based on Hidden Markov Models (HMMs) usin...
Anja Brakensiek, Daniel Willett, Gerhard Rigoll
CVPR
2007
IEEE
16 years 8 months ago
Real-time Gesture Recognition with Minimal Training Requirements and On-line Learning
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
Stjepan Rajko, Gang Qian, Todd Ingalls, Jodi James
ICDAR
2005
IEEE
15 years 12 months ago
Prototype Learning Methods for Online Handwriting Recognition
In this paper, we study different methods for prototype selection for recognizing handwritten characters of Tamil script. In the first method, cumulative pairwise- distances of th...
B. S. Raghavendra, C. K. Narayanan, G. Sita, A. G....
CORR
2010
Springer
69views Education» more  CORR 2010»
15 years 6 months ago
Epistemic irrelevance in credal nets: the case of imprecise Markov trees
We focus on credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. We replace the notion of strong independence commonly used in credal ne...
Gert de Cooman, Filip Hermans, Alessandro Antonucc...