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IR
2010
15 years 3 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
IVC
2010
289views more  IVC 2010»
15 years 3 months ago
Automatic 3D object segmentation in multiple views using volumetric graph-cuts
We propose an algorithm for automatically obtaining a segmentation of a rigid object in a sequence of images that are calibrated for camera pose and intrinsic parameters. Until re...
Neill D. F. Campbell, George Vogiatzis, Carlos Her...
LATIN
2010
Springer
15 years 3 months ago
On Quadratic Threshold CSPs
A predicate P : {−1, 1}k → {0, 1} can be associated with a constraint satisfaction problem Max CSP(P). P is called “approximation resistant” if Max CSP(P) cannot be approxi...
Per Austrin, Siavosh Benabbas, Avner Magen
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 3 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
PAMI
2010
203views more  PAMI 2010»
15 years 3 months ago
Visual Word Ambiguity
— This paper studies automatic image classification by modeling soft-assignment in the popular codebook model. The codebook model describes an image as a bag of discrete visual ...
Jan van Gemert, Cor J. Veenman, Arnold W. M. Smeul...
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