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» Comparing LIC and spot noise
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VISUALIZATION
1998
IEEE
13 years 9 months ago
Comparing LIC and spot noise
Spot noise and line integral convolution (LIC) are two texture synthesis techniques for vector field visualization. In this paper the two techniques are compared. Continuous direc...
Wim C. de Leeuw, Robert van Liere
TVCG
2008
192views more  TVCG 2008»
13 years 4 months ago
Anisotropic Noise Samples
We present a practical approach to generate stochastic anisotropic samples with Poisson-disk characteristic over a two-dimensional domain. In contrast to isotropic samples, we unde...
Louis Feng, Ingrid Hotz, Bernd Hamann, Kenneth I. ...
BMCBI
2004
90views more  BMCBI 2004»
13 years 4 months ago
Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays
Background: Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normal...
Igor Dozmorov, Nicholas Knowlton, Yuhong Tang, Mic...
BIBE
2008
IEEE
150views Bioinformatics» more  BIBE 2008»
13 years 5 months ago
Automatic DNA microarray gridding based on Support Vector Machines
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...
CBMS
2008
IEEE
13 years 11 months ago
A Precise and Automatic Gridding Approach to Noise-Affected and Distorted Microarray Images
1 In this paper, a precise and fully-automatic approach to the determination of the grid alignment (Gridding) on microarray images is presented. The proposed approach is compared ...
Eleni Zacharia, Dimitris Maroulis