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» Robust feature induction for support vector machines
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ILP
2007
Springer
15 years 3 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
ICML
2010
IEEE
14 years 10 months ago
COFFIN: A Computational Framework for Linear SVMs
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
Sören Sonnenburg, Vojtech Franc
CRV
2005
IEEE
153views Robotics» more  CRV 2005»
15 years 3 months ago
Detecting Abnormal Gait
Analyzing human gait has become popular in computer vision. So far, however, contributions to this topic almost exclusively considered the problem of person identification. In th...
Christian Bauckhage, John K. Tsotsos, Frank E. Bun...
ICMCS
2008
IEEE
181views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Coarse-to-fine video text detection
In this paper, we propose an effective coarse-to-fine algorithm to detect text in video. Firstly, in coarse-detection section, stroke filter is employed to detect all candidate st...
Guangyi Miao, Qingming Huang, Shuqiang Jiang, Wen ...
ACL
2006
14 years 11 months ago
Bootstrapping Path-Based Pronoun Resolution
We present an approach to pronoun resolution based on syntactic paths. Through a simple bootstrapping procedure, we learn the likelihood of coreference between a pronoun and a can...
Shane Bergsma, Dekang Lin