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» The Characterization of Data-Accumulating Algorithms
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ANOR
2010
87views more  ANOR 2010»
15 years 4 months ago
Image denoising via solution paths
Many image denoising methods can be characterized as minimizing "loss + penalty," where the "loss" measures the fidelity of the denoised image to the data, and ...
Li Wang, Ji Zhu
CORR
2010
Springer
101views Education» more  CORR 2010»
15 years 4 months ago
Distributed anonymous discrete function computation
We propose a model for deterministic distributed function computation by a network of identical and anonymous nodes. In this model, each node has bounded computation and storage c...
Julien M. Hendrickx, Alexander Olshevsky, John N. ...
CORR
2010
Springer
109views Education» more  CORR 2010»
15 years 4 months ago
Fast simulation of large-scale growth models
We give an algorithm that computes the final state of certain growth models without computing all intermediate states. Our technique is based on a "least action principle"...
Tobias Friedrich, Lionel Levine
CORR
2010
Springer
95views Education» more  CORR 2010»
15 years 4 months ago
Evaluating Call-By-Need on the Control Stack
Abstract. Ariola and Felleisen's call-by-need -calculus replaces a variable occurrence with its value at the last possible moment. To support this gradual notion of substituti...
Stephen Chang, David Van Horn, Matthias Felleisen
CSDA
2010
139views more  CSDA 2010»
15 years 4 months ago
Detecting influential observations in Kernel PCA
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...
Michiel Debruyne, Mia Hubert, Johan Van Horebeek