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» Fast heuristics for large scale covering-location problems
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SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 13 days ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
PAMI
2011
14 years 4 months ago
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
—Optical flow estimation is classically marked by the requirement of dense sampling in time. While coarse-to-fine warping schemes have somehow relaxed this constraint, there is...
Thomas Brox, Jitendra Malik
GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 1 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
IBPRIA
2009
Springer
15 years 2 months ago
Large Scale Online Learning of Image Similarity through Ranking
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio
EMNLP
2009
14 years 7 months ago
Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
Matti Kääriäinen