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Displaying 1-10 out of 10 total
Unsupervised Satellite Image Segmentation by Combining SA Based Fuzzy Clustering with Support Vector Machine
Found in: Advances in Pattern Recognition, International Conference on
By Anirban Mukhopadhyay, Ujjwal Maulik
Issue Date:February 2009
pp. 381-384
Fuzzy clustering is an important tool for unsupervised pixel classification in remotely sensed satellite images. In this article, a Simulated Annealing (SA) based fuzzy clustering method is developed and combined with popular Support vector Machine (SVM) c...
 
Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation
Found in: Advances in Pattern Recognition, International Conference on
By Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Issue Date:February 2009
pp. 236-239
This article describes a multiobjective genetic fuzzy clustering scheme that utilizes the search capabilities of NSGA-II, a popular multiobjective genetic algorithm and optimizes a number of fuzzy cluster validity measures. Real-coded encoding of the clust...
 
Identifying Non-redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-based Approach
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Anirban Mukhopadhyay,Monalisa Mandal
Issue Date:May 2014
pp. 1
Identifying relevant genes which are responsible for various types of cancer is an important problem. In this context, important genes refer to the marker genes which change their expression level in correlation with the risk or progression of a disease, o...
 
Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Ujjwal Maulik,Anirban Mukhopadhyay,Malay Bhattacharyya,Lars Kaderali,Benedikt Brors,Sanghamitra Bandyopadhyay,Roland Eils
Issue Date:March 2013
pp. 423-435
In this work, we model the problem of mining quasi-bicliques from weighted viral-host protein-protein interaction network as a biclustering problem for identifying strong interaction modules. In this regard, a multiobjective genetic algorithm-based biclust...
 
Multiobjective Genetic Fuzzy Clustering of Categorical Attributes
Found in: Information Technology, International Conference on
By Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Issue Date:December 2007
pp. 74-79
Most of the algorithms designed for categorical data clustering optimize a single measure of the clustering good- ness. Such a single measure may not be appropriate for different kinds of data sets. Therefore, consideration of multiple, often conflicting, ...
 
Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data
Found in: Information Technology, International Conference on
By Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Issue Date:December 2006
pp. 11-14
This article presents an efficient two-stage clustering method for clustering microarray gene expression time series data. The algorithm is based on the identification of genes having significant membership to multiple classes. A recently proposed variable...
 
A Survey and Comparative Study of Statistical Tests for Identifying Differential Expressionfrom Microarray Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Sanghamitra Bandyopadhyay,Saurav Mallik,Anirban Mukhopadhyay
Issue Date:January 2014
pp. 95-115
DNA microarray is a powerful technology that can simultaneously determine the levels of thousands of transcripts (generated, for example, from genes/miRNAs) across different experimental conditions or tissue samples. The motto of differential expression an...
 
A PSO-based rank aggregation algorithm for ranking genes from microarray data
Found in: Proceedings of the 17th Panhellenic Conference on Informatics (PCI '13)
By Anirban Mukhopadhyay, Monalisa Mandal
Issue Date:September 2013
pp. 166-173
In microarray analysis, gene relevance is measured according to the level of differential expression of the gene and this level of differential expression decides the rank of that gene. Ranking the disease-related genes has major impact on disease classifi...
     
Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Anirban Mukhopadhyay, Benedikt Brors, Lars Kaderali, Malay Bhattacharyya, Roland Eils, Sanghamitra Bandyopadhyay, Ujjwal Maulik
Issue Date:March 2013
pp. 423-435
In this work, we model the problem of mining quasi-bicliques from weighted viral-host protein-protein interaction network as a biclustering problem for identifying strong interaction modules. In this regard, a multiobjective genetic algorithm-based biclust...
     
Non-rigid shape correspondence and description using geodesic field estimate distribution
Found in: ACM SIGGRAPH 2012 Posters (SIGGRAPH '12)
By Anirban Mukhopadhyay, Austin T. New, Hamid R. Arabnia, Suchendra M. Bhandarkar
Issue Date:August 2012
pp. 1-1
Non-rigid shape description and analysis is an unsolved problem in computer graphics. Shape analysis is a fast evolving research field due to the wide availability of 3D shape databases. Widely studied methods for this family of problems include the Gromov...
     
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