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NIPS
2008
15 years 8 months ago
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
CBRMD
2008
69views more  CBRMD 2008»
15 years 7 months ago
Procurement Fraud Discovery using Similarity Measure Learning
Abstract. This paper describes an approach to detect hints on procurement fraud. It was developed within the context of a European Union project on fraud prevention. Procurement fr...
Stefan Rüping, Natalja Punko, Björn G&uu...
IJON
2006
99views more  IJON 2006»
15 years 7 months ago
Learning vector quantization: The dynamics of winner-takes-all algorithms
Winner-Takes-All (WTA) prescriptions for Learning Vector Quantization (LVQ) are studied in the framework of a model situation: Two competing prototype vectors are updated accordin...
Michael Biehl, Anarta Ghosh, Barbara Hammer
CORR
1998
Springer
125views Education» more  CORR 1998»
15 years 6 months ago
Automating Coreference: The Role of Annotated Training Data
Wereporthere ona studyof interannotatoragreementin the coreferencetask as defined by the MessageUnderstanding Conference(MUC-6and MUC-7).Basedon feedback from annotators, weclarif...
Lynette Hirschman, Patricia Robinson, John D. Burg...
TVCG
2010
208views more  TVCG 2010»
15 years 5 months ago
Example-Based Human Motion Denoising
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...
Hui Lou, Jinxiang Chai