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GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 10 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
BMCBI
2010
106views more  BMCBI 2010»
13 years 9 months ago
Selection of optimal reference genes for normalization in quantitative RT-PCR
Background: Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introdu...
Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean...
ECCV
2004
Springer
14 years 10 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
ICSE
2003
IEEE-ACM
14 years 9 months ago
The Grand Challenge of Trusted Components
Reusable components equipped with strict guarantees of quality can help reestablish software development on a stronger footing, by taking advantage of the scaling effect of reuse ...
Bertrand Meyer
MOBIHOC
2012
ACM
11 years 11 months ago
EV-Loc: integrating electronic and visual signals for accurate localization
Nowadays, an increasing number of objects can be represented by their wireless electronic identifiers. For example, people can be recognized by their phone numbers or their phone...
Boying Zhang, Jin Teng, Junda Zhu, Xinfeng Li, Don...