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» Level-set methods for convex optimization
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ICML
2007
IEEE
16 years 2 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong
ICML
2004
IEEE
16 years 2 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ICC
2009
IEEE
205views Communications» more  ICC 2009»
15 years 8 months ago
Dynamic Channel Feedback Control for Limited-Feedback Multi-User MIMO Systems
—Efficient channel feedback methods are becoming more important in limited-feedback multi-user multiple input multiple output (MU-MIMO) systems. We propose a new Dynamic channEl...
Illsoo Sohn, Chang Soon Park, Kwang Bok Lee
SIGPRO
2010
135views more  SIGPRO 2010»
15 years 10 days ago
A short note on compressed sensing with partially known signal support
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
Laurent Jacques
CVPR
2011
IEEE
14 years 10 months ago
Camera Calibration with Lens Distortion from Low-rank Textures
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work u...
Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma