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- W1570269564 abstract "We propose to use novelty as one of intrinsic motivations for learning in developmental robotics. Our approach classifies omni-view images taken from a mobile robot, finds outliers, and detects novelty. We use linear discriminant analysis for classification due to its optimality within linear computation. Experimental results demonstrate that although there are many misclassifications, there’s a possibility of making a new class composed of novel data." @default.
- W1570269564 created "2016-06-24" @default.
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- W1570269564 date "2010-01-01" @default.
- W1570269564 modified "2023-09-23" @default.
- W1570269564 title "Classification and Novelty Detection of Omni-view Images Taken from a Mobile Robot" @default.
- W1570269564 cites W1999571566 @default.
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- W1570269564 doi "https://doi.org/10.1007/978-3-642-04025-2_7" @default.
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