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» Selective association rule generation
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MIR
2010
ACM
325views Multimedia» more  MIR 2010»
15 years 1 months ago
A classification-driven similarity matching framework for retrieval of biomedical images
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
ASE
2005
140views more  ASE 2005»
14 years 11 months ago
Automated Procedure Construction for Deductive Synthesis
Deductive program synthesis systems based on automated theorem proving offer the promise of software that is correct by construction. However, the difficulty encountered in constru...
Steve Roach, Jeffrey Van Baalen
COMCOM
2004
145views more  COMCOM 2004»
14 years 11 months ago
Framework based on stochastic L-Systems for modeling IP traffic with multifractal behavior
In a previous work we have introduced a multifractal traffic model based on so-called stochastic L-Systems, which were introduced by biologist A. Lindenmayer as a method to model ...
Paulo Salvador, António Nogueira, Rui T. Va...
RCIS
2010
14 years 10 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
CPP
2011
107views more  CPP 2011»
13 years 11 months ago
Simple, Functional, Sound and Complete Parsing for All Context-Free Grammars
Parsing text to identify grammatical structure is a common task, especially in relation to programming languages and associated tools such as compilers. Parsers for context-free g...
Tom Ridge