News

Tech Xplore1d
Brain-inspired vision sensor enhances object outline extraction in varying lighting conditions
A novel vision sensor inspired by the neural transmission mechanisms of the human brain has been developed to efficiently and accurately extract object outlines even under fluctuating lighting ...
C&EN1y
Two-Dimensional and Three-Dimensional Time-of-Flight Secondary Ion Mass Spectrometry Image Feature Extraction Using a Spatially Aware Convolutional Autoencoder
La Trobe Institute for Molecular Sciences, La Trobe University, Bundoora, Victoria 3086, Australia Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia ...
GitHub2y
Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups
A full example of using the software for feature extraction on generic CSV files with time series is available in generic_dataframe_demo.py. The script allows modifying the settings using command line ...
Frontiers3y
Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets
One possible alternative direction for using DL techniques in psychiatric neuroimaging studies may be diagnostic label-free feature extraction. In the current study, we focus on an autoencoder (AE) as ...
Frontiers4y
Interpretable Feature Generation in ECG Using a Variational Autoencoder
Another approach for constructing a good feature description is automatic feature extraction (also called dimensionality ... On the other hand, we use VAE, not a regular autoencoder, because VAE will ...
unite4y
What is an Autoencoder?
Yet what is an autoencoder exactly? Briefly ... used to augment the training of other types of neural networks. This is also true of using autoencoders for feature extraction, as autoencoders can be ...
IEEE5y
Convolutional Autoencoder for Feature Extraction in Tactile Sensing
Instead of using various complex perception algorithms, and/or manually choosing task-specific data features, this unsupervised feature extraction method allows simultaneous online deployment of ...