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» Computing with abstract matrix structures
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PCI
2005
Springer
15 years 5 months ago
NGCE - Network Graphs for Computer Epidemiologists
Abstract. Graphs are useful data structures capable of efficiently representing a variety of technological and social networks. They are therefore utilized in simulation-based stud...
Vasileios Vlachos, Vassiliki Vouzi, Damianos Chatz...
STACS
2012
Springer
13 years 7 months ago
Linear-Space Data Structures for Range Mode Query in Arrays
A mode of a multiset S is an element a ∈ S of maximum multiplicity; that is, a occurs at least as frequently as any other element in S. Given an array A[1 : n] of n elements, we...
Timothy M. Chan, Stephane Durocher, Kasper Green L...
JCP
2006
102views more  JCP 2006»
14 years 11 months ago
Efficient Formulations for 1-SVM and their Application to Recommendation Tasks
The present paper proposes new approaches for recommendation tasks based on one-class support vector machines (1-SVMs) with graph kernels generated from a Laplacian matrix. We intr...
Yasutoshi Yajima, Tien-Fang Kuo
MKM
2005
Springer
15 years 5 months ago
Processing Textbook-Style Matrices
In mathematical textbooks matrices are often represented as objects of indefinite size containing abbreviations. To make the knowledge implicitly given in these representations av...
Alan P. Sexton, Volker Sorge
IJCNN
2006
IEEE
15 years 5 months ago
Nonlinear Component Analysis Based on Correntropy
Abstract— In this paper, we propose a new nonlinear principal component analysis based on a generalized correlation function which we call correntropy. The data is nonlinearly tr...
Jian-Wu Xu, Puskal P. Pokharel, António R. ...