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DCC
2005
IEEE
14 years 7 months ago
The Markov Expert for Finding Episodes in Time Series
We describe a domain-independent, unsupervised algorithm for refined segmentation of time series data into meaningful episodes, focusing on the problem of text segmentation. The V...
Jimming Cheng, Michael Mitzenmacher
HIP
2005
Springer
208views Cryptology» more  HIP 2005»
14 years 1 months ago
A Highly Legible CAPTCHA That Resists Segmentation Attacks
A CAPTCHA which humans find to be highly legible and which is designed to resist automatic character–segmentation attacks is described. As first detailed in [BR05], these ‘Sc...
Henry S. Baird, Michael A. Moll, Sui-Yu Wang
DAS
2006
Springer
13 years 11 months ago
Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents
Abstract. In this paper, we present a method for the automatic extraction of numerical fields (zip codes, phone numbers, etc.) from incoming mail documents. The approach is based o...
Clément Chatelain, Laurent Heutte, Thierry ...
ACL
2006
13 years 9 months ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
ICPR
2000
IEEE
14 years 9 months ago
Embedded Formulas Extraction
A new approach for separating mathematics from usual text is presented. Contrary to the existing methods, it is more oriented toward the segmentation than the recognition, isolati...
Abdel Belaïd, Afef Kacem, Mohamed Ben Ahmed