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- W2182656924 abstract "This paper presents an adaptive NN-RBF classifier developed for object recognition under continuously timevarying perceptual conditions. The classifier is a hybrid of a neural net and a control environment. Adaptability of the classifier involves processes of image analysis, reinforcement generation, and classifier modification. An NNRBF classifier is applied to a single image of a sequence. A feedback reinforcement generation mechanism evaluates the classification results when compared to the previous images and activates classifier modification, if needed. Classifier modification selects a strategy and employs four behaviors in adapting the classifier's structure and parameters. The developed approach is tested on indoor and outdoor image sequences." @default.
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- W2182656924 date "2000-01-01" @default.
- W2182656924 modified "2023-09-27" @default.
- W2182656924 title "Adaptive RBF Classifier for 0 bject Recognition in Image Sequences" @default.
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