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IJCNN
2007
IEEE
16 years 27 days ago
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
Hong Zeng, Yiu-ming Cheung
SDM
2010
SIAM
153views Data Mining» more  SDM 2010»
15 years 8 months ago
Reconstruction from Randomized Graph via Low Rank Approximation
The privacy concerns associated with data analysis over social networks have spurred recent research on privacypreserving social network analysis, particularly on privacypreservin...
Leting Wu, Xiaowei Ying, Xintao Wu
IMECS
2007
15 years 8 months ago
Using Background Knowledge for Graph Based Learning: A Case Study in Chemoinformatics
The benefit of incorporating background knowledge in the learning process has been successfully demonstrated in numerous applications of ILP methods. Nevertheless the effect of inc...
Thashmee Karunaratne, Henrik Boström
EOR
2006
62views more  EOR 2006»
15 years 6 months ago
A sequential procedure for neighborhood selection-of-the-best in optimization via simulation
We propose a fully sequential indifference-zone selection procedure that is specifically for use within an optimization-via-simulation algorithm when simulation is costly, and par...
Juta Pichitlamken, Barry L. Nelson, L. Jeff Hong
ICIP
1999
IEEE
16 years 8 months ago
Simplified Segmentation for Compound Image Compression
There are three basic segmentation schemes for compound image compression: object-based, layer-based, and block-based. This work discusses the relative advantages of each scheme a...
Amir Said, Alexander Drukarev