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EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
Type-II Fuzzy Possibilistic C-Mean Clustering
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...
TRECVID
2007
15 years 7 months ago
Summarizing BBC Rushes the Informedia Way
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...
CVPR
2010
IEEE
15 years 10 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
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...
CANDC
2006
ACM
15 years 6 months ago
Detecting and aligning peaks in mass spectrometry data with applications to MALDI
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...
EVOW
2005
Springer
16 years 5 days ago
Order Preserving Clustering over Multiple Time Course Experiments
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...
Stefan Bleuler, Eckart Zitzler