کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4947585 | 1439587 | 2017 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity
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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: Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity](/preview/png/4947585.png)
چکیده انگلیسی
It was determined that the system featuring SP is capable of achieving approximately 12 times the noise reduction for a video signal with distorted bits accounting for 13% of the total. Furthermore, the system featuring SP performed better also in the experiments without a noise component and achieved a max F1 score of 0.96. The experiments also revealed that a rise of column and synapse number of SP has a substantial impact on the performance of the system. Consequently, the highest F1 score values were obtained for 256 and 4096 synapses and columns, respectively. It is worth noting that 'Multiple HTMs' setup outperforms the 'Single HTM' one. Nevertheless, this is achieved at the expense of increased computational demands.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 240, 31 May 2017, Pages 84-97
Journal: Neurocomputing - Volume 240, 31 May 2017, Pages 84-97
نویسندگان
Maciej Wielgosz, Marcin PietroÅ,