Online figure–ground segmentation with adaptive metrics in generalized LVQ
نویسندگان
چکیده
منابع مشابه
Online figure-ground segmentation with adaptive metrics in generalized LVQ
We address the problem of fast figure-ground segmentation of single objects from cluttered backgrounds to improve object learning and recognition. For the segmentation, we use an initial foreground hypothesis to train a classifier for figure and ground on topographically ordered feature maps with Generalized Learning Vector Quantization. We investigate the contribution of several adaptive metri...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2009
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2008.11.028