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CIKM
2010
Springer
13 years 6 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
14 years 4 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
SIGMOD
2005
ACM
119views Database» more  SIGMOD 2005»
14 years 7 months ago
DogmatiX Tracks down Duplicates in XML
Duplicate detection is the problem of detecting different entries in a data source representing the same real-world entity. While research abounds in the realm of duplicate detect...
Melanie Weis, Felix Naumann
MM
2005
ACM
167views Multimedia» more  MM 2005»
14 years 1 months ago
SensEye: a multi-tier camera sensor network
This paper argues that a camera sensor network containing heterogeneous elements provides numerous benefits over traditional homogeneous sensor networks. We present the design an...
Purushottam Kulkarni, Deepak Ganesan, Prashant J. ...
ICPR
2008
IEEE
14 years 9 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi