Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have be...
Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I...
For the first time in 2007, TRECVID considered structured evaluation of automated video summarization, utilizing BBC rushes video. This paper discusses in detail our approaches fo...
Alexander G. Hauptmann, Michael G. Christel, Wei-H...
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
In this paper, we address the peak detection and alignment problem in the analysis of mass spectrometry data. To deal with the peak redundancy problem existing in the MALDI data a...
Weichuan Yu, Baolin Wu, Ning Lin, Kathy Stone, Ken...
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...