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» Combining SVM Classifiers for Handwritten Digit Recognition
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IJCNN
2007
IEEE
14 years 1 months ago
Limited receptive area neural classifier for recognition of swallowing sounds using short-time Fourier transform
— In this paper we propose a sound recognition technique based on the limited receptive area (LIRA) neural classifier and short-time Fourier transform (STFT). LIRA neural classif...
Oleksandr Makeyev, Edward Sazonov, Stephanie A. C....
ICASSP
2011
IEEE
12 years 11 months ago
Semi-supervised handwritten digit recognition using very few labeled data
We propose a novel semi-supervised classifier for handwritten digit recognition problems that is based on the assumption that any digit can be obtained as a slight transformation...
Steven Van Vaerenbergh, Ignacio Santamaría,...
ICDAR
2009
IEEE
14 years 2 months ago
Online Recognition of Multi-Stroke Symbols with Orthogonal Series
We propose an efficient method to recognize multi-stroke handwritten symbols. The method is based on computing the truncated Legendre-Sobolev expansions of the coordinate functio...
Oleg Golubitsky, Stephen M. Watt
ICCV
2001
IEEE
14 years 9 months ago
Face Recognition with Support Vector Machines: Global versus Component-based Approach
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...
Bernd Heisele, Purdy Ho, Tomaso Poggio
ICDAR
2009
IEEE
13 years 5 months ago
Prototype Selection for Handwritten Connected Digits Classification
After the handwritten segmentation process, it is common to have connected digits. This is due to the great size and shape digit variations. In addition, the acquisition and the b...
Cristiano de Santana Pereira, George D. C. Cavalca...