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108
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IJON
2002
98views more  IJON 2002»
15 years 3 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
154
Voted
ICANN
2010
Springer
15 years 1 months ago
Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques
Abstract. This paper presents an experimental "morphological analysis" retrieval system for mammograms, using Relevance-Feedback techniques. The features adopted are firs...
Stylianos D. Tzikopoulos, Harris V. Georgiou, Mich...
135
Voted
IGARSS
2009
15 years 1 months ago
Classification Performance of Random-projection-based Dimensionality Reduction of Hyperspectral Imagery
High-dimensional data such as hyperspectral imagery is traditionally acquired in full dimensionality before being reduced in dimension prior to processing. Conventional dimensiona...
James E. Fowler, Qian Du, Wei Zhu, Nicolas H. Youn...
171
Voted
JMLR
2012
13 years 6 months ago
Detecting Network Cliques with Radon Basis Pursuit
In this paper, we propose a novel formulation of the network clique detection problem by introducing a general network data representation framework. We show connections between o...
Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guiba...
BMCBI
2007
168views more  BMCBI 2007»
15 years 3 months ago
GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products
Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...
Holger Fröhlich, Nora Speer, Annemarie Poustk...