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» Improving Random Forests
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TIP
2008
163views more  TIP 2008»
15 years 21 days 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
TNN
2008
93views more  TNN 2008»
15 years 21 days 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...
133
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MOR
2000
162views more  MOR 2000»
15 years 18 days 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
86
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NPL
2000
95views more  NPL 2000»
15 years 18 days 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
95
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COMPUTER
1999
82views more  COMPUTER 1999»
15 years 14 days 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