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» Handwritten Digit Recognition: A Neural Network Demo
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BVAI
2007
Springer
14 years 2 months ago
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Daniel Oberhoff, Marina Kolesnik
ICPR
2002
IEEE
14 years 9 months ago
QuickStroke: An Incremental On-Line Chinese Handwriting Recognition System
This paper presents QuickStroke: a system for the incremental recognition of handwritten Chinese characters. Only a few strokes of an ideogram need to be entered in order for a ch...
Nada P. Matic, John C. Platt, Tony Wang
ICDAR
2003
IEEE
14 years 1 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...
ICDAR
2011
IEEE
12 years 8 months ago
Co-training for Handwritten Word Recognition
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
Volkmar Frinken, Andreas Fischer, Horst Bunke, Ali...
EURASIP
1990
14 years 18 days ago
Inversion in Time
Inversionof multilayersynchronous networks is a method which tries to answer questions like What kind of input will give a desired output?" or Is it possible to get a desired...
Sebastian Thrun, Alexander Linden