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CVPR
2005
IEEE
16 years 8 months ago
Rank-R Approximation of Tensors: Using Image-as-Matrix Representation
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
Hongcheng Wang, Narendra Ahuja
TCBB
2008
73views more  TCBB 2008»
15 years 6 months ago
Nature Reserve Selection Problem: A Tight Approximation Algorithm
The Nature Reserve Selection Problem is a problem that arises in the context of studying biodiversity conservation. Subject to budgetary constraints, the problem is to select a set...
Magnus Bordewich, Charles Semple
NIPS
2003
15 years 8 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan
EMSOFT
2004
Springer
16 years 6 days ago
Conservative approximations for heterogeneous design
Embedded systems are electronic devices that function in the context of a real environment, by sensing and reacting to a set of stimuli. Because of their close interaction with th...
Roberto Passerone, Jerry R. Burch, Alberto L. Sang...
CSDA
2010
91views more  CSDA 2010»
15 years 7 months ago
Default Bayesian model determination methods for generalised linear mixed models
In this paper, we consider a default strategy for fully Bayesian model determination for GLMMs. We address the two key issues of default prior specification and computation. In pa...
Antony M. Overstall, Jonathan J. Forster