[PDF] Content Based Image Retrieval Using a Bootstrapped SOM Network
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In bootstrapping the feature space is randomly sampled and a series of subsets are created that are used during the training phase of the SOM algorithm.
In bootstrapping the feature space is randomly sampled and a series of subsets are created that are used during the training phase of the SOM algorithm.
In bootstrapping the feature space is randomly sampled and a series of subsets are created that are used during the training phase of the SOM algorithm.
Content Based Image Retrieval Using a Bootstrapped SOM Network. https://doi.org/10.1007/11760023_88 · Full text. Journal: Advances in Neural Networks - ISNN ...
Mar 4, 2009 · html. Create Close. Content based image retrieval using a bootstrapped SOM network. Georgakis, Apostolos. Umeå University, Faculty of Science ...
An image retrieval system which uses Tree Structured Self-Organizing Maps (TS-SOMs) as the method for retrieving images similar to a given set of reference ...
An image retrieval system which uses Tree Structured Self-Organizing Maps (TS-SOMs) as the method for retrieving images similar to a given set of reference ...
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We have developed a novel system for content-based image retrieval in large, unannotated databases. The system is called PicSOM, and it is based on tree ...