کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
409743 | 679088 | 2012 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling binding and cross-modal learning in Markov logic networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Modeling binding and cross-modal learning in Markov logic networks Modeling binding and cross-modal learning in Markov logic networks](/preview/png/409743.png)
چکیده انگلیسی
Binding – the ability to combine two or more modal representations of the same entity into a single shared representation – is vital for every cognitive system operating in a complex environment. In order to successfully adapt to changes in a dynamic environment the binding mechanism has to be supplemented with cross-modal learning. In this paper we define the problems of high-level binding and cross-modal learning. By these definitions we model a binding mechanism in a Markov logic network and define its role in a cognitive architecture. We evaluate a prototype binding system off-line, using three different inference methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 96, 1 November 2012, Pages 29–36
Journal: Neurocomputing - Volume 96, 1 November 2012, Pages 29–36
نویسندگان
Alen Vrečko, Aleš Leonardis, Danijel Skočaj,