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BMCBI
2010
133views more  BMCBI 2010»
15 years 6 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
EVOW
2007
Springer
16 years 22 days ago
Learning and Recognition of Hand-Drawn Shapes Using Generative Genetic Programming
We describe a novel method of evolutionary visual learning that uses generative approach for assessing learner’s ability to recognize image contents. Each learner, implemented as...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
PPSN
2004
Springer
15 years 12 months ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
ITC
2003
IEEE
126views Hardware» more  ITC 2003»
15 years 12 months ago
Deformations of IC Structure in Test and Yield Learning
This paper argues that the existing approaches to modeling and characterization of IC malfunctions are inadequate for test and yield learning of Deep Sub-Micron (DSM) products. Tr...
Wojciech Maly, Anne E. Gattiker, Thomas Zanon, Tho...
ICIAP
1999
ACM
15 years 10 months ago
Learning Visual Operators from Examples: A New Paradigm in Image Processing
This paper presents a general strategy for designing efficient visual operators. The approach is highly task oriented and what constitutes the relevant information is defined by...
Hans Knutsson, Magnus Borga