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» A new Informative Generic Base of Association Rules
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IWPEC
2009
Springer
14 years 2 months ago
Bounded-Degree Techniques Accelerate Some Parameterized Graph Algorithms
Many parameterized algorithms for NP-hard graph problems are search tree algorithms with sophisticated local branching rules. But it has also been noticed that the global structur...
Peter Damaschke
TACS
1994
Springer
13 years 11 months ago
An Operational Approach to Combining Classical Set Theory and Functional Programming Languages
Abstract. We have designed a programming logic based on an integration of functional programming languages with classical set theory. The logic merges a classical view of equality ...
Douglas J. Howe, Scott D. Stoller
SMI
2006
IEEE
148views Image Analysis» more  SMI 2006»
14 years 1 months ago
Enhanced 2D/3D Approaches Based on Relevance Index for 3D-Shape Retrieval
We present a new approach for 3D model indexing and retrieval using 2D/3D shape descriptors based on silhouettes or depth-buffer images. To take into account the dispersion of inf...
Mohamed Chaouch, Anne Verroust-Blondet
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
14 years 1 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta
FUZZIEEE
2007
IEEE
14 years 2 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero