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ICDM
2009
IEEE
120views Data Mining» more  ICDM 2009»
16 years 1 months ago
Least Square Incremental Linear Discriminant Analysis
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
Li-Ping Liu, Yuan Jiang, Zhi-Hua Zhou
ICST
2009
IEEE
16 years 1 months ago
Test Input Generation Using UML Sequence and State Machines Models
We propose a novel testing approach that combines information from UML sequence models and state machine models. Current approaches that rely solely on sequence models do not cons...
Aritra Bandyopadhyay, Sudipto Ghosh
IEEECIT
2009
IEEE
16 years 1 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
INFOCOM
2009
IEEE
16 years 1 months ago
Minimizing Rulesets for TCAM Implementation
—Packet classification is a function increasingly used in a number of networking appliances and applications. Typically, sists of a set of abstract classifications, and a set o...
Rick McGeer, Praveen Yalagandula
INFOCOM
2009
IEEE
16 years 1 months ago
Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference
—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal ...
Animashree Anandkumar, Meng Wang, Lang Tong, Anant...