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» Using Evolution Programs to Learn Local Similarity Measures
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ICML
1994
IEEE
13 years 11 months ago
Hierarchical Self-Organization in Genetic programming
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
Justinian P. Rosca, Dana H. Ballard
SIBGRAPI
2008
IEEE
14 years 1 months ago
A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user p...
Jefersson Alex dos Santos, Cristiano D. Ferreira, ...
BMCBI
2010
131views more  BMCBI 2010»
13 years 7 months ago
FACT: Functional annotation transfer between proteins with similar feature architectures
Background: The increasing number of sequenced genomes provides the basis for exploring the genetic and functional diversity within the tree of life. Only a tiny fraction of the e...
Tina Koestler, Arndt von Haeseler, Ingo Ebersberge...
DAGM
2004
Springer
14 years 26 days ago
A Semantic Typicality Measure for Natural Scene Categorization
We propose an approach to categorize real-world natural scenes based on a semantic typicality measure. The proposed typicality measure allows to grade the similarity of an image wi...
Julia Vogel, Bernt Schiele
ICPR
2008
IEEE
14 years 8 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague