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IJCAI
2007
15 years 5 months ago
Kernel Conjugate Gradient for Fast Kernel Machines
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
Nathan D. Ratliff, J. Andrew Bagnell
NIPS
2007
15 years 5 months ago
Kernels on Attributed Pointsets with Applications
This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space. The embedding gives the notion of neighborhood, which is used to d...
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhat...
FTML
2010
159views more  FTML 2010»
15 years 2 months ago
Dimension Reduction: A Guided Tour
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
Christopher J. C. Burges
CORR
2010
Springer
93views Education» more  CORR 2010»
15 years 4 months ago
Rank Awareness in Joint Sparse Recovery
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
Mike E. Davies, Yonina C. Eldar
ICIP
2008
IEEE
15 years 10 months ago
Atomic decomposition dedicated to AVC and spatial SVC prediction
In this work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. The reconstruction of signal in the block...
Aurelie Martin, Jean-Jacques Fuchs, Christine Guil...