Unsupervised and adaptive category classification for a vision-based mobile robot
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gp-bibliography.bib Revision:1.7970
- @InProceedings{Tsukada:2010:ijcnn,
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author = "Masahiro Tsukada and Hirokazu Madokoro and
Kazuhito Sato",
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title = "Unsupervised and adaptive category classification for
a vision-based mobile robot",
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booktitle = "International Joint Conference on Neural Networks
(IJCNN 2010)",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-4244-6917-8",
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abstract = "This paper presents an unsupervised category
classification method for time-series images that
combines incremental learning of Adaptive Resonance
Theory-2 (ART-2) and self-mapping characteristic of
Counter Propagation Networks (CPNs). Our method
comprises the following procedures: 1) generating
visual words using Self-Organising Maps (SOM) from
128-dimensional descriptors in each feature point of a
Scale-Invariant Feature Transform (SIFT), 2) forming
labels using unsupervised learning of ART-2, and 3)
creating and classifying categories on a category map
of CPNs for visualising spatial relations between
categories. We use a vision system on a mobile robot
for taking time-series images. Experimental results
show that our method can classify objects into
categories according to their change of appearance
during the movement of a robot.",
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DOI = "doi:10.1109/IJCNN.2010.5596323",
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notes = "WCCI 2010. Also known as \cite{5596323}",
- }
Genetic Programming entries for
Masahiro Tsukada
Hirokazu Madokoro
Kazuhito Sato
Citations