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» 2LDA: Segmentation for Recognition
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ICDAR
1995
IEEE
14 years 2 months ago
Handwritten word recognition for real-time applications
—A fast method of handwritten word recognition suitable for real time applications is presented in this paper. Preprocessing, segmentation and feature extraction are implemented ...
Gyeonghwan Kim, Venu Govindaraju
NIPS
1996
13 years 12 months ago
Effective Training of a Neural Network Character Classifier for Word Recognition
We have combined an artificial neural network (ANN) character classifier with context-driven search over character segmentation, word segmentation, and word recognition hypotheses...
Larry S. Yaeger, Richard F. Lyon, Brandyn J. Webb
ICDAR
2009
IEEE
13 years 8 months ago
Recurrent HMMs and Cursive Handwriting Recognition Graphs
Standard cursive handwriting recognition is based on a language model, mostly a lexicon of possible word hypotheses or character n-grams. The result is a list of word alternatives...
Marc-Peter Schambach
EUSAI
2007
Springer
14 years 2 months ago
Toward Recognition of Short and Non-repetitive Activities from Wearable Sensors
Activity recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware computing. Most approaches for activity recognition focus on...
Andreas Zinnen, Kristof Van Laerhoven, Bernt Schie...
NAACL
1994
13 years 12 months ago
On-Line Cursive Handwriting Recognition Using Hidden Markov Models and Statistical Grammars
The BYBLOS continuous speech recognition system is applied to on-line cursive handwriting recognition. By exploiting similarities between on-line cursive handwriting and continuou...
John Makhoul, Thad Starner, Richard M. Schwartz, G...