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129
Voted
ICIP
2006
IEEE
16 years 2 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
117
Voted
PODC
2009
ACM
16 years 1 months ago
Fast distributed random walks
Performing random walks in networks is a fundamental primitive that has found applications in many areas of computer science, including distributed computing. In this paper, we fo...
Atish Das Sarma, Danupon Nanongkai, Gopal Panduran...
100
Voted
VTS
2006
IEEE
122views Hardware» more  VTS 2006»
15 years 6 months ago
Early, Accurate and Fast Yield Estimation through Monte Carlo-Alternative Probabilistic Behavioral Analog System Simulations
Monte Carlo analysis has so far been the corner stone for analog statistical simulations. Fast and accurate simulations are necessary for stringent time-to-market, design for manu...
Rasit Onur Topaloglu
125
Voted
CVPR
2003
IEEE
16 years 2 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
ICIP
2003
IEEE
16 years 2 months ago
Design of Q-shift complex wavelets for image processing using frequency domain energy minimization
This paper proposes a new method of designing finitesupport wavelet filters, based on minimization of energy in key parts of the frequency domain. In particular this technique is ...
Nick G. Kingsbury