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IPCV
2008
13 years 9 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...
ICST
2009
IEEE
14 years 2 months ago
Inferring Types of References to GUI Objects in Test Scripts
Since manual black-box testing of GUI-based APplications (GAPs) is tedious and laborious, test engineers create test scripts to automate the testing process. These test scripts in...
Chen Fu, Mark Grechanik, Qing Xie
HAIS
2009
Springer
14 years 4 days ago
Pareto-Based Multi-output Model Type Selection
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...
Dirk Gorissen, Ivo Couckuyt, Karel Crombecq, Tom D...
VLSID
2004
IEEE
125views VLSI» more  VLSID 2004»
14 years 8 months ago
Energy-Optimizing Source Code Transformations for OS-driven Embedded Software
The increasing software content of battery-powered embedded systems has fueled much interest in techniques for developing energyefficient embedded software. Source code transforma...
Yunsi Fei, Srivaths Ravi, Anand Raghunathan, Niraj...