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Keyword: Auto-encoderOpen AccessArticle
9 Pages, 959 KB 
Auto-Encoder based Deep Learning for Surface Electromyography Signal Processing
Abstract:
Feature extraction is taking a very vital and essential part of bio-signal processing. We need to choose one of two paths to identify and select features in any system. The most popular track is engineering handcrafted, which mainly depends on the user experience and the field of application. While the other path is feature learning,…
Read More(This article belongs to the SP4 (Special issue on Advancement in Engineering Technology 2017-18) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
6 Pages, 1,136 KB
Video Risk Detection and Localization using Bidirectional LSTM Autoencoder and Faster R-CNN
Abstract:
This work proposes a new unsupervised learning approach to detect and locate the risks “abnormal event” in video scenes using Faster R-CNN and Bidirectional LSTM autoencoder. The approach proposed in this work is carried out in two steps: In the first step, we used a bidirectional LSTM autoencoder to detect the frames containing risks. In…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))