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ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
13 years 8 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
BMCBI
2010
218views more  BMCBI 2010»
13 years 7 months ago
A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
Anthony Santella, Zhuo Du, Sonja Nowotschin, Anna-...
CORR
2011
Springer
243views Education» more  CORR 2011»
13 years 5 months ago
Distributed Estimation and False Data Detection with Application to Power Networks
This work presents a distributed method for control centers in a power network to estimate the operating condition of the power plant, and to ultimately determine the occurrence o...
Fabio Pasqualetti, Ruggero Carli, Francesco Bullo
WWW
2011
ACM
13 years 5 months ago
A self-training approach for resolving object coreference on the semantic web
An object on the Semantic Web is likely to be denoted with multiple URIs by different parties. Object coreference resolution is to identify “equivalent” URIs that denote the ...
Wei Hu, Jianfeng Chen, Yuzhong Qu
TON
2010
115views more  TON 2010»
13 years 5 months ago
Feedback-Based Scheduling for Load-Balanced Two-Stage Switches
Abstract--A framework for designing feedback-based scheduling algorithms is proposed for elegantly solving the notorious packet missequencing problem of a load-balanced switch. Unl...
Bing Hu, Kwan L. Yeung