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» Regularized Interpolation for Noisy Data
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AAAI
2007
13 years 12 months ago
Kernel Regression with Order Preferences
We propose a novel kernel regression algorithm which takes into account order preferences on unlabeled data. Such preferences have the form that point x1 has a larger target value...
Xiaojin Zhu, Andrew B. Goldberg
MP
2010
162views more  MP 2010»
13 years 8 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
TMC
2010
161views more  TMC 2010»
13 years 8 months ago
High-Rate Uncorrelated Bit Extraction for Shared Secret Key Generation from Channel Measurements
—Secret keys can be generated and shared between two wireless nodes by measuring and encoding radio channel characteristics without ever revealing the secret key to an eavesdropp...
Neal Patwari, Jessica Croft, Suman Jana, Sneha Kum...
SIAMIS
2008
174views more  SIAMIS 2008»
13 years 9 months ago
Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
We consider the restoration of piecewise constant images where the number of the regions and their values are not fixed in advance, with a good difference of piecewise constant val...
Mila Nikolova, Michael K. Ng, Shuqin Zhang, Wai-Ki...
VIS
2005
IEEE
110views Visualization» more  VIS 2005»
14 years 10 months ago
Prefiltered Gaussian Reconstruction for High-Quality Rendering of Volumetric Data sampled on a Body-Centered Cubic Grid
In this paper a novel high-quality reconstruction scheme is presented. Although our method is mainly proposed to reconstruct volumetric data sampled on an optimal Body-Centered Cu...
Balázs Csébfalvi