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» Using Random Forests for Handwritten Digit Recognition
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ICPR
2002
IEEE
15 years 10 months ago
The Economics of Classification: Error vs. Complexity
Although usually classifier error is the main concern in publications, in real applications classifier evaluation complexity may play a large role as well. In this paper, a simple...
Dick de Ridder, Elzbieta Pekalska, Robert P. W. Du...
DIAL
2004
IEEE
136views Image Analysis» more  DIAL 2004»
15 years 1 months ago
Text Alignment with Handwritten Documents
Today's digital libraries increasingly include not only printed text but also scanned handwritten pages and other multimedia material. There are, however, few tools available...
E. Micah Kornfield, R. Manmatha, James Allan
FLAIRS
2006
14 years 11 months ago
Melody Track Identification in Music Symbolic Files
Standard MIDI files contain data that can be considered as a symbolic representation of music (a digital score), and most of them are structured as a number of tracks, one of them...
David Rizo, Pedro J. Ponce de León, Antonio...
84
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ICDAR
2009
IEEE
15 years 4 months 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
CIMCA
2006
IEEE
15 years 3 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