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» OCR with No Shape Training
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89
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ISVC
2009
Springer
15 years 7 months ago
Level Set Gait Analysis for Synthesis and Reconstruction
We describe a new technique to extract the boundary of a walking subject, with ability to predict movement in missing frames. This paper uses a level sets representation of the tra...
Muayed S. Al-Huseiny, Sasan Mahmoodi, Mark S. Nixo...
84
Voted
ICPR
2002
IEEE
16 years 1 months ago
Classification Using a Hierarchical Bayesian Approach
A key problem faced by classifiers is coping with styles not represented in the training set. We present an application of hierarchical Bayesian methods to the problem of recogniz...
Charles Mathis, Thomas M. Breuel
ICDAR
2011
IEEE
14 years 9 days ago
OCR-Driven Writer Identification and Adaptation in an HMM Handwriting Recognition System
—We present an OCR-driven writer identification algorithm in this paper. Our algorithm learns writer-specific characteristics more precisely from explicit character alignment usi...
Huaigu Cao, Rohit Prasad, Prem Natarajan
112
Voted
MICCAI
2007
Springer
16 years 1 months ago
Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge
Abstract. We propose a highly automated approach to the point correspondence problem for anatomical shapes in medical images. Manual landmarking is performed on a small subset of t...
Aaron D. Ward, Ghassan Hamarneh
105
Voted
JCDL
2003
ACM
101views Education» more  JCDL 2003»
15 years 6 months ago
Bibliographic Attribute Extraction from Erroneous References Based on a Statistical Model
In this paper, we propose a method for extracting bibliographic attributes from reference strings captured using Optical Character Recognition (OCR) and an extended hidden Markov ...
Atsuhiro Takasu