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» Ink recognition based on statistical classification methods
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ACL
2001
15 years 6 months ago
Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning
Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, loc...
Hideki Isozaki
122
Voted
PRL
2006
87views more  PRL 2006»
15 years 5 months ago
Supervised feature-based classification of multi-channel SAR images
This paper describes a new method for a feature-based supervised classification of multi-channel SAR data. Classic feature selection and classification methods are inadequate due ...
Dirk Borghys, Yann Yvinec, Christiaan Perneel, Ale...
106
Voted
ICDAR
2007
IEEE
15 years 11 months ago
Finger-Written Chinese Characters Recognition Using Hierarchical LDA
In our camera based user interface, user inputs Chinese characters by moving fingertip with his/her fingers. Therefore, we call those characters “finger– written Chinese chara...
D. Yang, L. Jin, L.-X. Zhen, J.-C. Huang
PRL
2011
14 years 8 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
129
Voted
PRL
2008
85views more  PRL 2008»
15 years 5 months ago
Reliability estimation of a statistical classifier
Pattern classification techniques derived from statistical principles have been widely studied and have proven powerful in addressing practical classification problems. In real-wo...
Pandu Ranga Rao Devarakota, Bruno Mirbach, Bjö...