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Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction.

, , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 40 (2): 393-404 (2002)

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Robot Shaping--Principles, Methods, and Architectures, and . 795. Department of Artifical Intelligence, University of Edinburgh, (1996)Chapter 11. Data Formats of the Proteomics Standards Initiative., , , and . Proteome Informatics, volume 5 of New Developments in Mass Spectrometry, Royal Society of Chemistry, (2016)Everything on the Chip: A Hardware-Based Self-Contained Spatially-Structured Genetic Algorithm for Signal Processing., , and . ICES, volume 1801 of Lecture Notes in Computer Science, page 165-174. Springer, (2000)Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space., , and . J. Mach. Learn. Res., (2003)Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification., , , , , , , and . Journal of Mathematical Imaging and Vision, 19 (2): 133-150 (2003)Incremental Acquisition of Complex Behaviour by Structured Evolution., and . ICANNGA, page 16-20. Springer, (1997)Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier., , and . IGARSS, page 364-367. IEEE, (2006)Two realizations of a general feature extraction framework., , and . Pattern Recognit., 37 (5): 875-887 (2004)Evolving land cover classification algorithms for multispectral and multitemporal imagery, , , , , , and . Proc. SPIE Imaging Spectrometry VII, 4480, (2002)Evolving Effective Visual Tracking through Shaping. Proceedings of the Genetic and Evolutionary Computation Conference, 2, page 1156--1161. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)