کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535853 870392 2012 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On the optimization of Hierarchical Temporal Memory
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
On the optimization of Hierarchical Temporal Memory
چکیده انگلیسی

In this paper an optimized classification method for object recognition is presented. The proposed method is based on the Hierarchical Temporal Memory (HTM), which stems from the memory prediction theory of the human brain. As in HTM, this method comprises a tree structure of connected computational nodes, whilst utilizing different rules to memorize objects appearing in various orientations. These rules involve both the spatial and the temporal module. As HTM is inspired from brain activity, its input should also comply with the human vision system. Thus, for the representation of the input images the logpolar was given preference to the Cartesian one. As compared to the original HTM method, experimental results exhibit performance enhancements with this approach, in recognition and categorization applications. Results obtained prove that the proposed method is more accurate and faster in training, whilst retaining the network robustness in multiple orientation variations.


► Hierarchical Temporal Memory.
► Correlation matrix.
► Greater classification rate than SVM.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 33, Issue 5, 1 April 2012, Pages 670–676
نویسندگان
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