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138
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ICASSP
2011
IEEE
14 years 6 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...
149
Voted
JMLR
2012
13 years 5 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
122
Voted
CVPR
2008
IEEE
16 years 4 months ago
Non-refractive modulators for encoding and capturing scene appearance and depth
We analyze the modulation of a light field via nonrefracting attenuators. In the most general case, any desired modulation can be achieved with attenuators having four degrees of ...
Ashok Veeraraghavan, Amit K. Agrawal, Ramesh Raska...
120
Voted
ICCV
2007
IEEE
16 years 4 months ago
Spherical-Homoscedastic Shapes
Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
Onur C. Hamsici, Aleix M. Martínez
ECCV
2006
Springer
16 years 4 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang