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CORR
2011
Springer
144views Education» more  CORR 2011»
14 years 10 months ago
Rank Aggregation via Nuclear Norm Minimization
The process of rank aggregation is intimately intertwined with the structure of skew-symmetric matrices. We apply recent advances in the theory and algorithms of matrix completion...
David F. Gleich, Lek-Heng Lim
TVCG
2012
179views Hardware» more  TVCG 2012»
13 years 9 months ago
Parallel Computation of 2D Morse-Smale Complexes
—The Morse-Smale complex is a useful topological data structure for the analysis and visualization of scalar data. This paper describes an algorithm that processes all mesh eleme...
Nithin Shivashankar, Senthilnathan M, Vijay Natara...

Book
412views
17 years 5 months ago
Algorithms for Clustering Data
"Cluster analysis is an important technique in the rapidly growing field known as exploratory data analysis and is being applied in a variety of engineering and scientific dis...
A. K. Jain, R. C. Dubes
ADC
2007
Springer
145views Database» more  ADC 2007»
16 years 1 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
VMV
2001
113views Visualization» more  VMV 2001»
15 years 8 months ago
Direction-Driven Shape-Based Interpolation of Volume Data
We present a novel approach to shape-based interpolation of gray-level volume data. In contrast to the segmentation-based techniques our method directly processes the scalar volum...
Jirí Hladuvka, Eduard Gröller