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ICDAR
2009
IEEE
14 years 10 days ago
Learning and Adaptation for Improving Handwritten Character Recognizers
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Naveen Chandra Tewari, Anoop M. Namboodiri
ICDAR
2003
IEEE
13 years 11 months ago
Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach
Feature selection for ensembles has shown to be an effective strategy for ensemble creation. In this paper we present an ensemble feature selection approach based on a hierarchica...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...
CIMCA
2006
IEEE
13 years 11 months ago
A Junction Based Segmentation Algorithm for Offline Handwritten Connected Character Segmentation
A junction based approach for Segmenting and recognizing offline handwritten connected twodigit strings is presented in this paper. Very often even in a printed text, adjacent cha...
U. K. S. Jayarathna, G. E. M. D. C. Bandara
ICPR
2004
IEEE
14 years 6 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 22 days ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...