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» Computational Experience with the Batch Means Method
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WSC
1997
14 years 11 months ago
Computational Efficiency Evaluation in Output Analysis
A central quantity in steady-state simulation is the time-average variance constant. Estimates of this quantity are needed (for example) for constructing confidence intervals, an...
Halim Damerdji, Shane G. Henderson, Peter W. Glynn
TJS
2010
182views more  TJS 2010»
14 years 8 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
95
Voted
ACMDIS
2006
ACM
15 years 3 months ago
"It's Just a Method!": a pedagogical experiment in interdisciplinary design
In the excitement of the cognitive revolution, Simon proposed a way of thinking about design that promised to make it more manageable and cognitive: to think of design as a planni...
Steve R. Harrison, Maribeth Back, Deborah G. Tatar
88
Voted
CVPR
2011
IEEE
14 years 5 months ago
Joint Face Alignment with A Generic Deformable Face Model
As having multiple images of an object is practically convenient nowadays, to jointly align them is important for subsequent studies and a wide range of applications. In this pape...
Cong Zhao, Wai-Kuen Cham, Xiaogang Wang
CVPR
2009
IEEE
16 years 4 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li