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» Using Lexical Similarity in Handwritten Word Recognition
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ICDAR
2003
IEEE
13 years 10 months ago
Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
Sung-Hyuk Cha, Charles C. Tappert, Sargur N. Sriha...
COGSCI
2007
107views more  COGSCI 2007»
13 years 4 months ago
The Dynamics of Lexical Competition During Spoken Word Recognition
The sounds that make up spoken words are heard in a series and must be mapped rapidly onto words in memory because their elements, unlike those of visual words, cannot simultaneou...
James S. Magnuson, James A. Dixon, Michael K. Tane...
ICPR
2004
IEEE
14 years 5 months ago
Discriminatory Power of Handwritten Words for Writer Recognition
Analysis of allographs (characters) and allograph combinations (words) is the key for the identification/verification of a writer's handwriting. While allographs are usually ...
Bin Zhang, Catalin I. Tomai, Sargur N. Srihari
SPEECH
2010
89views more  SPEECH 2010»
12 years 11 months ago
Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates
Despite years of speech recognition research, little is known about which words tend to be misrecognized and why. Previous work has shown that errors increase for infrequent words...
Sharon Goldwater, Daniel Jurafsky, Christopher D. ...