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134
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VLDB
2000
ACM
229views Database» more  VLDB 2000»
15 years 4 months ago
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
Kaushik Chakrabarti, Sharad Mehrotra
150
Voted
INFOCOM
2012
IEEE
13 years 3 months ago
Sherlock is around: Detecting network failures with local evidence fusion
—Traditional approaches for wireless sensor network diagnosis are mainly sink-based. They actively collect global evidences from sensor nodes to the sink so as to conduct central...
Qiang Ma, Kebin Liu, Xin Miao, Yunhao Liu
137
Voted
JMLR
2006
138views more  JMLR 2006»
15 years 1 months ago
Noisy-OR Component Analysis and its Application to Link Analysis
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
Tomás Singliar, Milos Hauskrecht
129
Voted
NN
2000
Springer
159views Neural Networks» more  NN 2000»
15 years 27 days ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
107
Voted
EOR
2011
172views more  EOR 2011»
14 years 8 months ago
Efficiency measurement using independent component analysis and data envelopment analysis
Efficiency measurement is an important issue for any firm or organization. Efficiency measurement allows organizations to compare their performance with their competitors’ and t...
Ling-Jing Kao, Chi-Jie Lu, Chih-Chou Chiu