A Combination of Unsupervised and Supervised Classication Techniques for Surface Identication (ResearchIndex)

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A Combination of Unsupervised and Supervised Classication Techniques for Surface Identication (Make Corrections)
Using Color Information E. Lazkano, B. Sierra, I. Ra, I. Zarauz and I....

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Abstract: This paper presents an attempt to use color pixel segmentation for mobile robot navigation and localization. Because of the wide variety of colors that are present in a general semistructured environment, rst a nonsupervised color partition is made. Two unsupervised learning paradigms are tried, evaluated and compared: a Self Organizing Map (SOM) and Forgy's clustering algorithm. In order to obtain a robust classication valid for dierent lighting conditions, we also try dierent... (Update)

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3.4: A Combination of Unsupervised and Supervised.. - Lazkano, Sierra.. (Correct)
1.1: Mobile Robot Navigation Using Color Image Segmentation - Naki Ra Elena (Correct)
0.3: Scaling up Reinforcement Learning with Human Knowledge as an .. - Tatsuo Unem Dept (Correct)

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BibTeX entry: (Update)

@misc{ information-combination,
  author = "Using Color Information",
  title = "A Combination of Unsupervised and Supervised Classication Techniques for
    Surface Identication",
  url = "citeseer.ist.psu.edu/765407.html" }

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6 Machine Learning Approaches for Image Analysis: recognition .. (context) - Sierra, Lazkano et al. - 2001
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Documents on the same site (http://www.sc.ehu.es/ccwrobot/publications.html): More
Adapting the Point of View for Behavior-based Navigation - Ardaiz, Astigarraga.. (Correct)
Iterated Probabilistic Weighted k-Nearest Neighbor Algorithm - Martinez-Otzeta, Sierra (Correct)
Natural Landmark Based Navigation - Lazkano, Astigarraga, Sierra.. (2004) (Correct)

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