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BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
13 years 11 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
ICA
2004
Springer
14 years 1 months ago
Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA
Abstract. Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented...
Jörn Anemüller, Jeng-Ren Duann, Terrence...
RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang
SIGGRAPH
2000
ACM
13 years 12 months ago
Image-based visual hulls
In this paper, we describe an efficient image-based approach to computing and shading visual hulls from silhouette image data. Our algorithm takes advantage of epipolar geometry a...
Wojciech Matusik, Chris Buehler, Ramesh Raskar, St...
CC
2007
Springer
208views System Software» more  CC 2007»
14 years 1 months ago
A New Elimination-Based Data Flow Analysis Framework Using Annotated Decomposition Trees
Abstract. We introduce a new framework for elimination-based data flow analysis. We present a simple algorithm and a delayed algorithm that exhibit a worstcase complexity of O(n2 ...
Bernhard Scholz, Johann Blieberger