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» Formulating context-dependent similarity functions
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TSMC
2008
99views more  TSMC 2008»
14 years 9 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
ESANN
2006
14 years 11 months ago
Synthesis of maximum margin and multiview learning using unlabeled data
In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
Sándor Szedmák, John Shawe-Taylor
71
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ECSQARU
2007
Springer
15 years 3 months ago
On Decision Support Under Risk by the WOWA Optimization
Abstract. The problem of averaging outcomes under several scenarios to form overall objective functions is of considerable importance in decision support under uncertainty. The fuz...
Wlodzimierz Ogryczak, Tomasz Sliwinski
EOR
2007
80views more  EOR 2007»
14 years 9 months ago
Coherent risk measures in inventory problems
We analyze an extension of the classical multi-period, single-item, linear cost inventory problem where the objective function is a coherent risk measure. Properties of coherent r...
Shabbir Ahmed, Ulas Çakmak, Alexander Shapi...
CVPR
2008
IEEE
15 years 11 months ago
Fast image search for learned metrics
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
Prateek Jain, Brian Kulis, Kristen Grauman