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JDCTA
2010
104views more  JDCTA 2010»
13 years 3 months ago
Mean Shifts Identification Model in Bivariate Process Based on LS-SVM Pattern Recognizer
This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
Zhi-Qiang Cheng, Yi-Zhong Ma, Jing Bu
SIGKDD
2010
125views more  SIGKDD 2010»
13 years 3 months ago
A framework for mining interesting pattern sets
This paper suggests a framework for mining subjectively interesting pattern sets that is based on two components: (1) the encoding of prior information in a model for the data min...
Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirin...
CORR
2012
Springer
250views Education» more  CORR 2012»
12 years 4 months ago
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki
CDC
2009
IEEE
164views Control Systems» more  CDC 2009»
14 years 1 months ago
Evaluation of track following servo performance for patterned servo sectors in hard disk drives
— A promising approach for ultra high data storage capacities in magnetic hard disk drives is the use of bitpatterned media (BPM) that allows both higher track densities and incr...
Younghee Han, Raymond A. de Callafon
CVPR
2010
IEEE
13 years 11 months ago
Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction in Complex Scenes
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among many difficulties, problems caused by illuminatio...
Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matt...