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Found 5 papers, 2 papers with code
Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data
A fully convolutional autoencoder is developed for the detection of anomalies in multi-sensor vehicle drive-cycle data from the powertrain domain.
Machine learning method for light field refocusing
Light field imaging introduced the capability to refocus an image after capturing.
Light Field Compression by Residual CNN Assisted JPEG
For compression, we keep the LF's center view and use JPEG compression with 50% quality.
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks
Information fusion is an essential part of numerous engineering systems and biological functions, e. g., human cognition.
Scalable Kernel Clustering: Approximate Kernel k-means
Kernel-based clustering algorithms have the ability to capture the non-linear structure in real world data.
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