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ICASSP
2011
IEEE
14 years 3 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
KDD
2009
ACM
165views Data Mining» more  KDD 2009»
15 years 4 months ago
Pricing guidance in ad sale negotiations: the PrintAds example
We consider negotiations between publishers and advertisers in a marketplace for ads. Motivated by Google’s online PrintAds system which is such a marketplace, we focus on the r...
Adam Isaac Juda, S. Muthukrishnan, Ashish Rastogi
ICCV
2011
IEEE
13 years 11 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
KDD
2000
ACM
153views Data Mining» more  KDD 2000»
15 years 3 months ago
The generalized Bayesian committee machine
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Volker Tresp
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 6 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters