Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44043
Título: Pollen classification based on geometrical, descriptors and colour features using decorrelation stretching method
Autores/as: Ticay-Rivas, Jaime R.
Del Pozo-Baños, Marcos
Travieso, Carlos M. 
Arroyo-Hernández, Jorge
Pérez Suárez, Santiago Tomás 
Alonso, Jesús B. 
Mora-Mora, Federico
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: decorrelation stretch, pollen classification, geometrical features, colour features, neural networks, Pollen grains
Fecha de publicación: 2011
Editor/a: 1868-4238
Publicación seriada: IFIP Advances in Information and Communication Technology 
Conferencia: 12th INNS EANN-SIG International Conference (EANN 2011)/7th IFIP 12 5 International Conference (AIAI 2011) 
7th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2011 
Resumen: The two-volume set IFIP AICT 363 and 364 constitutes the refereed proceedings of the 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011, held jointly in Corfu, Greece, in September 2011. The 52 revised full papers and 28 revised short papers presented together with 31 workshop papers were carefully reviewed and selected from 150 submissions. The second volume includes the papers that were accepted for presentation at the AIAI 2011 conference. They are organized in topical sections on computer vision and robotics, classification/pattern recognition, financial and management applications of AI, fuzzy systems, learning and novel algorithms, recurrent and radial basis function ANN, machine learning, generic algorithms, data mining, reinforcement learning, Web applications of ANN, medical applications of ANN and ethics of AI, and environmental and earth applications of AI. The volume also contains the accepted papers from the First Workshop on Computational Intelligence in Software Engineering (CISE 2011) and the Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2011).
URI: http://hdl.handle.net/10553/44043
ISBN: 9783642239595
ISSN: 1868-4238
DOI: 10.1007/978-3-642-23960-1_41
Fuente: IFIP Advances in Information and Communication Technology[ISSN 1868-4238],v. 364 AICT, p. 342-349
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