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» Data Mining: Machine Learning, Statistics, and Databases
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JMLR
2010
172views more  JMLR 2010»
14 years 8 months ago
Modeling annotator expertise: Learning when everybody knows a bit of something
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
Yan Yan, Rómer Rosales, Glenn Fung, Mark W....
145
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PR
2007
216views more  PR 2007»
15 years 1 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee
ICDE
2007
IEEE
176views Database» more  ICDE 2007»
15 years 8 months ago
Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis
The wide availability of large scale databases requires more efficient and scalable tools for data understanding and knowledge discovery. In this paper, we present a method to ...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Da...
ECML
2007
Springer
15 years 5 months ago
Finding Composite Episodes
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
Ronnie Bathoorn, Arno Siebes
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
16 years 2 months ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram