Object Recognition Using Deep Convolutional Features Transformed by a Recursive Network Structure

Object Recognition Using Deep Convolutional Features Transformed by a Recursive Network Structure

Deep neural networks (DNNs) trained on large data sets have been shown to be able to capture high-quality features describing image data. Numerous studies have proposed various ways to transfer DNN structures trained on large data sets to perform classification tasks represented by relatively small...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Hieu Minh Bui, Margaret Lech, Eva Cheng, Katrina Neville, Ian S. Burnett
التنسيق: مقال
اللغة:English
منشور في: IEEE 2016-01-01
سلاسل:IEEE Access
الموضوعات:
Machine learning
pattern recognition
neural networks
knowledge transfer
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/7869276/

الانترنت

https://ieeexplore.ieee.org/document/7869276/

مواد مشابهة