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» Online adaptive clustering in a decision tree framework
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ECCV
2002
Springer
14 years 7 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh
IJCAI
2003
13 years 7 months ago
Employing Trainable String Similarity Metrics for Information Integration
The problem of identifying approximately duplicate objects in databases is an essential step for the information integration process. Most existing approaches have relied on gener...
Mikhail Bilenko, Raymond J. Mooney
TNN
2008
138views more  TNN 2008»
13 years 5 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 6 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
PAMI
2007
107views more  PAMI 2007»
13 years 5 months ago
Recognition of Pornographic Web Pages by Classifying Texts and Images
—With the rapid development of the World Wide Web, people benefit more and more from the sharing of information. However, Web pages with obscene, harmful, or illegal content can ...
Weiming Hu, Ou Wu, Zhouyao Chen, Zhouyu Fu, Stephe...