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» Sampling Bounds for Stochastic Optimization
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EUROCOLT
1999
Springer
14 years 2 months ago
Regularized Principal Manifolds
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
Alex J. Smola, Robert C. Williamson, Sebastian Mik...
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 10 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin
ICIP
1995
IEEE
14 years 11 months ago
A lattice vector quantizer for generalized Gaussian sources
A fixed-rate lattice vector quantizer for generalized Gaussian (GG) sources is presented. By using the contour of counstant probability of a generalized Gaussian source to bound t...
Feng Chen, Zheng Gao, John D. Villasenor
INFOCOM
2010
IEEE
13 years 8 months ago
Cooperative Resource Management in Cognitive WiMAX with Femto Cells
Abstract—WiMAX with femto cells is a cost-effective nextgeneration broadband wireless communication system. Cognitive Radio (CR) has recently emerged as a promising technology to...
Jin Jin, Baochun Li
MICCAI
2004
Springer
14 years 10 months ago
Shape Particle Filtering for Image Segmentation
Abstract. Deformable template models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with loca...
Marleen de Bruijne, Mads Nielsen