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ICDAR
2011
IEEE
12 years 10 months ago
Comparative Study of Part-Based Handwritten Character Recognition Methods
—The purpose of this paper is to introduce three part-based methods for handwritten character recognition and then compare their performances experimentally. All of those methods...
Wang Song, Seiichi Uchida, Marcus Liwicki
JMLR
2010
169views more  JMLR 2010»
13 years 5 months ago
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Deep belief nets have been successful in modeling handwritten characters, but it has proved more difficult to apply them to real images. The problem lies in the restricted Boltzma...
Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E....
ICDAR
2011
IEEE
12 years 10 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin
TFS
2008
174views more  TFS 2008»
13 years 10 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu
DAGM
2000
Springer
14 years 3 months ago
Structured Covariance Matrices for Statistical Image Object Recognition
Abstract. In this paper we present di erent approaches to structuring covariance matrices within statistical classi ers. This is motivated by the fact that the use of full covarian...
Jörg Dahmen, Daniel Keysers, Michael Pitz, He...