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NIPS
2008
13 years 9 months ago
Hebbian Learning of Bayes Optimal Decisions
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
AAAI
2004
13 years 9 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
CGF
2008
137views more  CGF 2008»
13 years 7 months ago
Exploiting Visibility Correlation in Direct Illumination
The visibility function in direct illumination describes the binary visibility over a light source, e.g., an environment map. Intuitively, the visibility is often strongly correla...
Petrik Clarberg, Tomas Akenine-Möller
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 7 months ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
PAMI
2007
222views more  PAMI 2007»
13 years 7 months ago
MonoSLAM: Real-Time Single Camera SLAM
—We present a real-time algorithm which can recover the 3D trajectory of a monocular camera, moving rapidly through a previously unknown scene. Our system, which we dub MonoSLAM,...
Andrew J. Davison, Ian D. Reid, Nicholas Molton, O...