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» Kolmogorov Complexity and Model Selection
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CVPR
2005
IEEE
14 years 10 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
ICN
2009
Springer
14 years 3 months ago
Measuring Route Diversity in the Internet from Remote Vantage Points
Recent works on modeling the Internet topology [8, 9] have highlighted how the complexity of relationships between Autonomous Systems (ASes) can not be oversimplified without sac...
Andrea Di Menna, Tiziana Refice, Luca Cittadini, G...
QEST
2007
IEEE
14 years 3 months ago
GRIP: Generic Representatives in PRISM
We give an overview of GRIP, a symmetry reduction tool for the probabilistic model checker PRISM, together with experimental results for a selection of example specifications. 1 ...
Alastair F. Donaldson, Alice Miller, David Parker
AC
2003
Springer
14 years 2 months ago
Petri Nets and Manufacturing Systems: An Examples-Driven Tour
Abstract. There exists ample literature on Petri nets and its potential in the modelling, analysis, synthesis and implementation of systems in the manufacturing applications domain...
Laura Recalde, Manuel Silva, Joaquin Ezpeleta, Enr...
BMCBI
2010
113views more  BMCBI 2010»
13 years 8 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...