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Empirical Evaluation on Deep Learning of Depth Feature for Human Activity Recognition.

, , and . ICONIP (3), volume 8228 of Lecture Notes in Computer Science, page 576-583. Springer, (2013)

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End-to-end deep learning for autonomous navigation of mobile robot., , and . ICCE, page 1-6. IEEE, (2018)Empirical Evaluation on Deep Learning of Depth Feature for Human Activity Recognition., , and . ICONIP (3), volume 8228 of Lecture Notes in Computer Science, page 576-583. Springer, (2013)MTCNet: Multi-Task Complex Network for Concurrent Channel Estimation and Equalization., , , , , and . GLOBECOM, page 1-6. IEEE, (2021)Cosine Focal Loss-based Change Detection for Video Surveillance Systems., , and . AVSS, page 1-6. IEEE, (2019)End to End Deep Learning for Single Step Real-Time Facial Expression Recognition., , , , and . VAAM/FFER@ICPR, volume 10165 of Lecture Notes in Computer Science, page 88-97. Springer, (2016)Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks., , , , and . CVPR Workshops, page 438-445. IEEE Computer Society, (2017)Light-weight visual place recognition using convolutional neural network for mobile robots., , , and . ICCE, page 1-4. IEEE, (2018)LWCNet: Lightweight Complex Neural Network for Real-Time Channel Estimation., , , , and . GLOBECOM (Workshops), page 1-6. IEEE, (2021)Collaborative Learning with Pseudo Labels for Robust Classification in the Presence of Noisy Labels., , , , , , and . ECCV Workshops (5), volume 12539 of Lecture Notes in Computer Science, page 162-177. Springer, (2020)