Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation
المؤلفون المشاركون
De Meyer, K.
Kompass, R.
Spratling, M. W.
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2009، العدد 2009 (31 ديسمبر/كانون الأول 2009)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2009-05-05
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
This paper demonstrates that nonnegative matrix factorisation is mathematically related to a class of neural networks that employ negative feedback as a mechanism of competition.
This observation inspires a novel learning algorithm which we call Divisive Input Modulation (DIM).
The proposed algorithm provides a mathematically simple and computationally efficient method for the unsupervised learning of image components, even in conditions where these elementary features overlap considerably.
To test the proposed algorithm, a novel artificial task is introduced which is similar to the frequently-used bars problem but employs squares rather than bars to increase the degree of overlap between components.
Using this task, we investigate how the proposed method performs on the parsing of artificial images composed of overlapping features, given the correct representation of the individual components; and secondly, we investigate how well it can learn the elementary components from artificial training images.
We compare the performance of the proposed algorithm with its predecessors including variations on these algorithms that have produced state-of-the-art performance on the bars problem.
The proposed algorithm is more successful than its predecessors in dealing with overlap and occlusion in the artificial task that has been used to assess performance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Spratling, M. W.& De Meyer, K.& Kompass, R.. 2009. Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation. Computational Intelligence and Neuroscience،Vol. 2009, no. 2009, pp.1-19.
https://search.emarefa.net/detail/BIM-467575
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Spratling, M. W.…[et al.]. Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation. Computational Intelligence and Neuroscience No. 2009 (2009), pp.1-19.
https://search.emarefa.net/detail/BIM-467575
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Spratling, M. W.& De Meyer, K.& Kompass, R.. Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation. Computational Intelligence and Neuroscience. 2009. Vol. 2009, no. 2009, pp.1-19.
https://search.emarefa.net/detail/BIM-467575
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-467575
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر