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Displaying 1-8 out of 8 total
Dimensionality Reduction in Higher-Order-Only ICA
Found in: Signal Processing Workshop on High-Order Statistics, IEEE
By Lieven de Lathauwer, Bart de Moor, Joos Vandewalle
Issue Date:July 1997
pp. 0316
Most algebraic methods for Independent Component Analysis (ICA) consist of a second-order and a higher-order stage. The former can be considered as a classical Principal Component Analysis (PCA), with a three-fold goal: (a) reduction of the parameter set o...
 
Optimized Data Fusion for Kernel k-Means Clustering
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Shi Yu,Léon-Charles Tranchevent,Xinhai Liu,Wolfgang Glänzel,Johan A.K. Suykens,Bart De Moor,Yves Moreau
Issue Date:May 2012
pp. 1031-1039
This paper presents a novel optimized kernel k-means algorithm (OKKC) to combine multiple data sources for clustering analysis. The algorithm uses an alternating minimization framework to optimize the cluster membership and kernel coefficients as a nonconv...
 
Web-based Data Collection for Uterine Adnexal Tumors: A Case Study
Found in: Computer-Based Medical Systems, IEEE Symposium on
By Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau
Issue Date:June 2002
pp. 282
We have developed a web application for the collection of EPR's (Electronic Patient Records) from uterine adnexal masses pre-operatively examined with transvaginal ultra-sonography. The application has been used intensively since November 2000 by 9 of the ...
 
Layout and Post-Processing of Transcriptional Modules
Found in: Bioinformatics, Systems Biology and Intelligent Computing, International Joint Conference on
By Hong Sun,Tim Van den Bulcke,Bart De Moor,Karen Lemmens,Kristof Engelen,Kathleen Marchal
Issue Date:August 2009
pp. 116-121
Visualization of transcriptional modules together with their transcriptional program is a non-trivial task. We have therefore developed a module visualization tool that allows visualizing overlapping transcriptional modules in a very intuitive way. By visu...
 
Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge
Found in: Computer-Based Medical Systems, IEEE Symposium on
By Péter Antal, Bart de Moor, Tamás Mészáros, Tadeusz Dobrowiecki
Issue Date:March 2001
pp. 0177
Abstract: In previous publications we have reported on the development of Bayesian Network models for the preoperative discrimination between malignant and benign ovarian mass. The models incorporated both medical background knowledge and patient data, whi...
 
Maximum Likelihood Estimation ofGEVD: Applications in Bioinformatics
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Minta Thomas,Anneleen Daemen,Bart De Moor
Issue Date:July 2014
pp. 673-680
We propose a method, maximum likelihood estimation of generalized eigenvalue decomposition (MLGEVD) that employs a well known technique relying on the generalization of singular value decomposition (SVD). The main aim of the work is to show the tight equiv...
 
eXtasy simplified-towards opening the black box
Found in: 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Dusan Popovic,Alejandro Sifrim,Yves Moreau,Bart De Moor
Issue Date:December 2013
pp. 24-28
Exome sequencing remarkably simplifies the search for mutations causing rare monogenie disorders. Still, due to a big number of potential candidate variants, computational methods are needed to facilitate this process. Recently, an algorithm based on genom...
   
Discrete wavelet transform-based multivariate exploration of tissue via imaging mass spectrometry
Found in: Proceedings of the 2008 ACM symposium on Applied computing (SAC '08)
By Bart De Moor, Etienne Waelkens, Raf Van de Plas
Issue Date:March 2008
pp. 28-34
Mass spectral imaging (MSI) or imaging mass spectrometry is a developing technology that combines spatial information with traditional mass spectrometry. It enables researchers to study the spatial distribution of biomolecules such as proteins, peptides, a...
     
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