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» Automatic feature selection in neuroevolution
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ICIP
2006
IEEE
14 years 11 months ago
Foveated Analysis and Selection of Visual Fixations in Natural Scenes
The ability to automatically detect visually interesting regions in images has practical applications in the design of active machine vision systems. Analysis of the statistics of...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
ISBI
2009
IEEE
14 years 4 months ago
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps
To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
Kannan Umadevi Venkataraju, António R. C. P...
MVA
2007
133views Computer Vision» more  MVA 2007»
13 years 11 months ago
Selection of Object Recognition Methods According to the Task and Object Category
Service robots need object recognition strategy that can work on various objects in complex backgrounds. Since no single method can work in every situation, we need to combine sev...
Al Mansur, Yoshinori Kuno
KBSE
2008
IEEE
14 years 4 months ago
Rhizome: A Feature Modeling and Generation Platform
Rhizome is an end-to-end feature modeling and code generation platform that includes a feature modeling language (FeatureML), a template language (MarkerML) and a template-based c...
Guozheng Ge, E. James Whitehead Jr.
COLING
2008
13 years 11 months ago
The Choice of Features for Classification of Verbs in Biomedical Texts
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
Anna Korhonen, Yuval Krymolowski, Nigel Collier