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JCSS
2008
138views more  JCSS 2008»
15 years 7 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
SARA
2009
Springer
15 years 11 months ago
Light Algorithms for Maintaining Max-RPC During Search
Abstract. This article presents two new algorithms whose purpose is to maintain the Max-RPC domain filtering consistency during search with a minimal memory footprint and implemen...
Julien Vion, Romuald Debruyne
IJCV
2010
194views more  IJCV 2010»
15 years 5 months ago
Improving Bag-of-Features for Large Scale Image Search
This article improves recent methods for large scale image search. We first analyze the bag-of-features approach in the framework of approximate nearest neighbor search. This lea...
Herve Jegou, Matthijs Douze, Cordelia Schmid
310
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ECCV
2006
Springer
16 years 9 months ago
Figure/Ground Assignment in Natural Images
Abstract. Figure/ground assignment is a key step in perceptual organization which assigns contours to one of the two abutting regions, providing information about occlusion and all...
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
IJCNN
2007
IEEE
16 years 1 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...