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ICIP
2006
IEEE
14 years 8 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
SODA
2001
ACM
67views Algorithms» more  SODA 2001»
13 years 8 months ago
Reconstructing a collection of curves with corners and endpoints
We present an algorithm which provably reconstructs a collection of curves with corners and endpoints from a sample set that satisfies a certain sampling condition. The algorithm ...
Stefan Funke, Edgar A. Ramos
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 6 months ago
Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm
As an example of the recently introduced concept of rate of innovation, signals that are linear combinations of a finite number of Diracs per unit time can be acquired by linear fi...
Vincent Yan Fu Tan, Vivek K. Goyal
SMA
2009
ACM
228views Solid Modeling» more  SMA 2009»
14 years 1 months ago
Robust mesh reconstruction from unoriented noisy points
We present a robust method to generate mesh surfaces from unoriented noisy points in this paper. The whole procedure consists of three steps. Firstly, the normal vectors at points...
Hoi Sheung, Charlie C. L. Wang
COMPGEOM
2011
ACM
12 years 10 months ago
Metric graph reconstruction from noisy data
Many real-world data sets can be viewed of as noisy samples of special types of metric spaces called metric graphs [16]. Building on the notions of correspondence and GromovHausdo...
Mridul Aanjaneya, Frédéric Chazal, D...