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ICPR
2010
IEEE
13 years 7 months ago
A Self-Training Learning Document Binarization Framework
—Document Image Binarization techniques have been studied for many years, and many practical binarization techniques have been developed and applied successfully on commercial do...
Bolan Su, Shijian Lu, Chew Lim Tan
AIME
2005
Springer
14 years 1 months ago
Learning Rules from Multisource Data for Cardiac Monitoring
This paper aims at formalizing the concept of learning rules from multisource data in a cardiac monitoring context. Our method has been implemented and evaluated on learning from d...
Élisa Fromont, Rene Quiniou, Marie-Odile Co...
COLT
2008
Springer
13 years 9 months ago
Learning from Collective Behavior
Inspired by longstanding lines of research in sociology and related fields, and by more recent largepopulation human subject experiments on the Internet and the Web, we initiate a...
Michael Kearns, Jennifer Wortman
ECML
2007
Springer
14 years 1 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
MCS
2005
Springer
14 years 1 months ago
Ensembles of Classifiers from Spatially Disjoint Data
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...