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PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
15 years 10 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
SOSP
2009
ACM
16 years 10 days ago
Upright cluster services
The UpRight library seeks to make Byzantine fault tolerance (BFT) a simple and viable alternative to crash fault tolerance for a range of cluster services. We demonstrate UpRight ...
Allen Clement, Manos Kapritsos, Sangmin Lee, Yang ...
255
Voted
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 5 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
133
Voted
CIKM
2010
Springer
15 years 2 months ago
Visualization and clustering of crowd video content in MPCA subspace
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
Haiping Lu, How-Lung Eng, Myo Thida, Konstantinos ...
168
Voted
IGARSS
2009
15 years 1 months ago
Endmember Extraction from Hyperspectral Imagery using a Parallel Ensemble Approach with Consensus Analysis
We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...
Fermin Ayuso, Javier Setoain, Manuel Prieto, Chris...