While humans are observing their surroundings, their eyes tend to rapidly shift between different objects, people and details that catch their attention, pausing briefly on each one. In psychology, ...
Abstract: In this work, we demonstrate a compressed time-domain, pooling-aware convolution (COMPAC) convolutional neural network (CNN) engine for energy-efficient edge AI computing by performing multi ...
If the source video shall be splitted into segments of fixed duration, set maxdur=mindur=target_seg_length=[fix duration]; If the source video shall be splitted into segments of variable duration, ...
Abstract: Time series anomaly detection is an important task in many applications, and deep learning based time series anomaly detection has made great progress. However, due to complex device ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Recently, seismic inversion has made extensive use of supervised learning methods. The traditional deep learning inversion network can utilize the temporal correlation in the vertical direction. Still ...
In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...
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