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» Improving Random Forests
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TIP
2008
163views more  TIP 2008»
15 years 2 months ago
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
David K. Hammond, Eero P. Simoncelli
131
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TNN
2008
93views more  TNN 2008»
15 years 2 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
149
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MOR
2000
162views more  MOR 2000»
15 years 2 months ago
Approximation Algorithms for Disjoint Paths and Related Routing and Packing Problems
Given a network and a set of connection requests on it, we consider the maximum edge-disjoint paths and related generalizations and routing problems that arise in assigning paths f...
Alok Baveja, Aravind Srinivasan
106
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NPL
2000
95views more  NPL 2000»
15 years 2 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
111
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COMPUTER
1999
82views more  COMPUTER 1999»
15 years 2 months ago
Mapping the Internet
Discovery of a network topology is a challenging task. Available algorithms that rely on simple hop-limited, traceroute-style probes give different performance in terms of the com...
Hal Burch, Bill Cheswick