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ICANN
2010
Springer
15 years 1 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
CG
2010
Springer
15 years 23 days ago
An evaluation of descriptors for large-scale image retrieval from sketched feature lines
We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale w...
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,...
113
Voted
CORR
2006
Springer
189views Education» more  CORR 2006»
15 years 21 days ago
Node-Based Optimal Power Control, Routing, and Congestion Control in Wireless Networks
Abstract--In wireless networks, important network functionalities such as power control, rate allocation, routing, and congestion control must be optimized in a coherent and integr...
Yufang Xi, Edmund M. Yeh
CAGD
2007
59views more  CAGD 2007»
15 years 20 days ago
Discrete quadratic curvature energies
We present a family of discrete isometric bending models (IBMs) for triangulated surfaces in 3-space. These models are derived from an axiomatic treatment of discrete Laplace oper...
Max Wardetzky, Miklós Bergou, David Harmon,...
94
Voted
PR
2007
104views more  PR 2007»
15 years 5 days ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet