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» Ink recognition based on statistical classification methods
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ICDAR
2009
IEEE
13 years 6 months ago
Invariant Primitives for Handwritten Arabic Script: A Contrastive Study of Four Feature Sets
The choice of relevant features is very decisive in handwriting recognition rate. Our aim is to present some useful structural and statistical features and see their degree of var...
Sofiene Haboubi, Samia Maddouri, Noureddine Ellouz...
BMCBI
2008
153views more  BMCBI 2008»
13 years 9 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
ICPR
2008
IEEE
14 years 10 months ago
Bag-of-visual-words models for adult image classification and filtering
We present a method to classify images into different categories of pornographic content to create a system for filtering pornographic images from network traffic. Although differ...
Hermann Ney, Lexi Pimenidis, Thomas Deselaers
ACII
2005
Springer
14 years 2 months ago
Physiological Sensing and Feature Extraction for Emotion Recognition by Exploiting Acupuncture Spots
Previous emotion recognition systems have mainly focused on pattern classification, rather than utilizing sensing technologies or feature extraction methods. This paper introduces ...
Ahyoung Choi, Woontack Woo
ICPR
2008
IEEE
14 years 10 months ago
Joint visual vocabulary for animal classification
This paper presents a method for visual object categorization based on encoding the joint textural information in objects and the surrounding background, and requiring no segmenta...
Alireza Tavakoli Targhi, Andrzej Pronobis, Heydar ...