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{ "pk": 28985, "title": "A Convolutional Self-organizing Map for Visual Category Learning", "subtitle": null, "abstract": "In this paper we present a novel neural network architecture that aims to combine the highly popular and successfulconvolutional neural network architecture with the learning mechanism of an unsupervised self-organizing map. The con-volutional self-organizing map (ConvSOM) is a hierarchical network consisting of several independent self-organizingmaps. It incorporates features associated with convolutional networks, such as weight sharing, spatial pooling, and hierar-chical abstraction, with the unsupervised, topographically organized self-organizing map. We will show that the resultingarchitecture performs poorly on the MNIST data set, but offers interesting avenues for further research.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Poster Presentations with Abstracts", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/62z7k1gj", "frozenauthors": [ { "first_name": "Chris", "middle_name": "", "last_name": "Gorman", "name_suffix": "", "institution": "University of Otago", "department": "" }, { "first_name": "Lech", "middle_name": "", "last_name": "Szymanski", "name_suffix": "", "institution": "University of Otago", "department": "" }, { "first_name": "Anthony", "middle_name": "", "last_name": "Robins", "name_suffix": "", "institution": "University of Otago", "department": "" }, { "first_name": "Alistair", "middle_name": "", "last_name": "Knott", "name_suffix": "", "institution": "University of Otago", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2019-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28985/galley/18856/download/" } ] }