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» The Localization Hypothesis and Machines
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116
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ICDAR
2007
IEEE
15 years 7 months ago
Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation
Using a lexicon can often improve character recognition under challenging conditions, such as poor image quality or unusual fonts. We propose a flexible probabilistic model for c...
Jerod J. Weinman, Erik G. Learned-Miller, Allen R....
PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
15 years 6 months ago
SETRED: Self-training with Editing
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
Ming Li, Zhi-Hua Zhou
ESEM
2008
ACM
15 years 2 months ago
An empirical model to predict security vulnerabilities using code complexity metrics
Complexity is often hypothesized to be the enemy of software security. If this hypothesis is true, complexity metrics may be used to predict the locale of security problems and ca...
Yonghee Shin, Laurie Williams
85
Voted
ACL
2008
15 years 2 months ago
Refining Event Extraction through Cross-Document Inference
We apply the hypothesis of "One Sense Per Discourse" (Yarowsky, 1995) to information extraction (IE), and extend the scope of "discourse" from one single docum...
Heng Ji, Ralph Grishman
109
Voted
TREC
2000
15 years 2 months ago
Question Answering Considering Semantic Categories and Co-Occurrence Density
In this paper, we present a Question Answering system called KUQA (Korea University Question Answering system) developed by using semantic categories and co-occurrence density. Se...
Soo-Min Kim, Dae-Ho Baek, Sang-Beom Kim, Hae-Chang...