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CSDA
2007
99views more  CSDA 2007»
15 years 6 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
TCOM
2008
67views more  TCOM 2008»
15 years 6 months ago
Robust Frequency Hopping for Interference and Fading Channels
Abstract--A robust frequency-hopping system with noncoherent detection, iterative turbo decoding and demodulation, and channel estimation is presented. The data modulation is the s...
Don J. Torrieri, Shi Cheng, Matthew C. Valenti
ADAC
2010
124views more  ADAC 2010»
15 years 6 months ago
Comparing partitions of two sets of units based on the same variables
Abstract We propose a procedure based on a latent variable model for the comparison of two partitions of different units described by the same set of variables. The null hypothesis...
Genane Youness, Gilbert Saporta
CORR
2008
Springer
94views Education» more  CORR 2008»
15 years 5 months ago
Semi-continuous Sized Types and Termination
A type-based approach to termination uses sized types: an ordinal bound for the size of a data structure is stored in its type. A recursive function over a sized type is accepted i...
Andreas Abel
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
15 years 4 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang