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» Outlier-aware robust clustering
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108
Voted
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
15 years 9 months ago
Diversity-Based Weighting Schemes for Clustering Ensembles.
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
Andrea Tagarelli, Francesco Gullo, Sergio Greco
166
Voted
CVPR
2012
IEEE
13 years 2 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
83
Voted
ICPR
2004
IEEE
16 years 1 months ago
Fast Robust GA-Based Ellipse Detection
This paper discusses a novel and effective technique for extracting multiple ellipses from an image, using a Multi-Population Genetic Algorithm (MPGA). MPGA evolves a number of su...
Jie Yao, Nawwaf N. Kharma, Peter Grogono
102
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Fast query by example of environmental sounds via robust and efficient cluster-based indexing
There has been much recent progress in the technical infrastructure necessary to continuously characterize and archive all sounds, or more precisely auditory streams, that occur w...
Jiachen Xue, Gordon Wichern, Harvey D. Thornburg, ...
CLOUD
2010
ACM
15 years 5 months ago
Robust and flexible power-proportional storage
Power-proportional cluster-based storage is an important component of an overall cloud computing infrastructure. With it, substantial subsets of nodes in the storage cluster can b...
Hrishikesh Amur, James Cipar, Varun Gupta, Gregory...