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BMCBI
2006
96views more  BMCBI 2006»
13 years 7 months ago
Bayesian detection of periodic mRNA time profiles without use of training examples
Background: Detection of periodically expressed genes from microarray data without use of known periodic and non-periodic training examples is an important problem, e.g. for ident...
Claes R. Andersson, Anders Isaksson, Mats G. Gusta...
ICIP
2005
IEEE
14 years 9 months ago
Image denoising in nonlinear scale-spaces: automatic scale selection via cross-validation
Multiscale, i.e. scale-space image analysis is a powerful framework for many image processing tasks. A fundamental issue with such scale-space techniques is the automatic selectio...
George Papandreou, Petros Maragos
MICCAI
2005
Springer
14 years 8 months ago
Corpus Callosum Subdivision Based on a Probabilistic Model of Inter-hemispheric Connectivity
Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to locate morphological changes. In this paper, we present the a nov...
Martin Andreas Styner, Ipek Oguz, Rachel Gimpel Sm...
ICC
2009
IEEE
109views Communications» more  ICC 2009»
14 years 2 months ago
Measurement-Based Modeling of Vehicle-to-Vehicle MIMO Channels
— Vehicle-to-vehicle (VTV) communications are of interest for applications within traffic safety and congestion avoidance, but the development of suitable communications systems...
Johan Karedal, Fredrik Tufvesson, Nicolai Czink, A...
SCALESPACE
2007
Springer
14 years 1 months ago
Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
Abstract. Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were proposed as locally adaptive machines for noise removal. Recently, Buades, Col...
Charles Kervrann, Jérôme Boulanger, P...