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» Asim: A Performance Model Framework
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JMLR
2006
138views more  JMLR 2006»
15 years 6 months ago
Noisy-OR Component Analysis and its Application to Link Analysis
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
Tomás Singliar, Milos Hauskrecht
ICML
2007
IEEE
16 years 7 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
ICCV
2009
IEEE
16 years 11 months ago
Shape Guided Contour Grouping with Particle Filters
We propose a novel framework for contour based object detection and recognition, which we formulate as a joint contour fragment grouping and labeling problem. For a given set of...
ChengEn Lu, Longin Jan Latecki, Nagesh Adluru, Hai...
TCOM
2010
168views more  TCOM 2010»
15 years 1 months ago
A unified analysis of routing protocols in MANETs
This paper presents a mathematical framework for the evaluation of the performance of proactive and reactive routing protocols in mobile ad hoc networks (MANETs). This unified fram...
Hui Xu, Xianren Wu, Hamid R. Sadjadpour, J. J. Gar...
SQJ
2008
94views more  SQJ 2008»
15 years 6 months ago
Simulation-based analysis of UML statechart diagrams: methods and case studies
- We present a comprehensive UML statechart diagram analysis framework. This framework allows one to progressively perform different analysis operations to analyze UML statechart d...
Jiexin Lian, Zhaoxia Hu, Sol M. Shatz