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pro vyhledávání: '"Ming-Ke Zhou"'
Publikováno v:
Pattern Recognition. 49:7-18
In this paper, we propose a feature learning method for handwritten Chinese character recognition (HCCR), called discriminative quadratic feature learning (DQFL). Based on original gradient direction feature representation, quadratic correlation betw
Improving Handwritten Chinese Character Recognition with Discriminative Quadratic Feature Extraction
Publikováno v:
ICPR
Discriminative feature extraction (DFE) is an effective linear dimensionality reduction method for pattern recognition. It improves the recognition performance via optimizing subspace projection axes and classifier parameters simultaneously. In this
Publikováno v:
ICDAR
Perturbation-based recognition is effective to recover the deformation of handwritten characters and improve the recognition performance by generating multiple distortions and selecting a distortion that best restores character deformation. Consideri
Publikováno v:
ICDAR
The discriminative training of classifiers for handwritten Chinese character recognition (HCCR) is highly demanding in computation due to the large number of categories. The inability of discriminative training with large sample set on personal compu
Autor:
Ming-Ke Zhou1 mkzhou@nlpr.ia.ac.cn, Xu-Yao Zhang1 xyz@nlpr.ia.ac.cn, Fei Yin1 fyin@nlpr.ia.ac.cn, Cheng-Lin Liu1 liucl@nlpr.ia.ac.cn
Publikováno v:
Pattern Recognition. Jan2016, Vol. 49, p7-18. 12p.