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» Introduction to Randomized Algorithms
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ICASSP
2010
IEEE
15 years 4 months ago
Automatic detection of well sampled images via a new ringing measure
According to Shannon Sampling Theory, Fourier interpolation is the optimal way to reach subpixel accuracy from a properly-sampled digital image. However, for most images this inte...
Gwendoline Blanchet, Lionel Moisan, Bernard Roug&e...
ICASSP
2010
IEEE
15 years 4 months ago
Toward signal processing theory for graphs and non-Euclidean data
Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze ...
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wol...
ICANN
2010
Springer
15 years 4 months ago
Tumble Tree - Reducing Complexity of the Growing Cells Approach
We propose a data structure that decreases complexity of unsupervised competitive learning algorithms which are based on the growing cells structures approach. The idea is based on...
Hendrik Annuth, Christian-A. Bohn
HICSS
2008
IEEE
153views Biometrics» more  HICSS 2008»
15 years 4 months ago
Fault-Tolerant k-Fold Pivot Routing in Wireless Sensor Networks
Selecting a small set of nodes called pivots, from all the nodes in a network and maintaining the routing infrastructure to and among each other can reduce routing overhead and ex...
Doina Bein
AMAI
2008
Springer
15 years 4 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens