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106
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ICML
2007
IEEE
16 years 1 months ago
Adaptive mesh compression in 3D computer graphics using multiscale manifold learning
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
Sridhar Mahadevan
110
Voted
NIPS
2008
15 years 2 months ago
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daph...
IJBC
2008
112views more  IJBC 2008»
15 years 24 days ago
Computation and Visualization of bifurcation Surfaces
The localization of critical parameter sets called bifurcations is often a central task of the analysis of a nonlinear dynamical system. Bifurcations of codimension 1 that can be ...
Dirk Stiefs, Thilo Gross, Ralf Steuer, Ulrike Feud...
156
Voted
WSC
2007
15 years 3 months ago
Monte Carlo methods in the physical sciences
I will review the role that Monte Carlo methods play in the physical sciences. They are very widely used for a number of reasons: they permit the rapid and faithful transformation...
Malvin H. Kalos
WINE
2009
Springer
147views Economy» more  WINE 2009»
15 years 5 months ago
Computational Aspects of Multimarket Price Wars
We consider the complexity of decision making with regards to predatory pricing in multimarket oligopoly models. Specifically, we present multimarket extensions of the classical s...
Nithum Thain, Adrian Vetta