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HICSS
2009
IEEE
113views Biometrics» more  HICSS 2009»
14 years 10 months ago
Benchmarking Technique in E-Business Using the Galileo Method
We propose a benchmarking technique that is combined with customer's cognitive structures. Customer's cognitive structures are determined using a multi-dimensional scali...
Cheul Rhee, Junghoon Moon, G. Lawrence Sanders, Yo...
122
Voted
SIGSOFT
2003
ACM
15 years 5 months ago
Refinements and multi-dimensional separation of concerns
1 Step-wise refinement (SWR) asserts that complex programs can be derived from simple programs by progressively adding features. The length of a program specification is the number...
Don S. Batory, Jia Liu, Jacob Neal Sarvela
123
Voted
ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
14 years 10 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
123
Voted
MOBIQUITOUS
2008
IEEE
15 years 6 months ago
ScreenSpot: multidimensional resource discovery for distributed applications in smart spaces
The big challenge related to the contemporary research on ubiquitous and pervasive computing is that of seamless integration. For the next generation of ubiquitous and distributed...
Marko Jurmu, Sebastian Boring, Jukka Riekki
CORR
2007
Springer
144views Education» more  CORR 2007»
15 years 13 days ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura