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Found 6 papers, 2 papers with code
Analytical results for uncertainty propagation through trained machine learning regression models
Machine learning (ML) models are increasingly being used in metrology applications.
A divide-and-conquer algorithm for binary matrix completion
We propose an algorithm for low rank matrix completion for matrices with binary entries which obtains explicit binary factors.
Adaptive DCTNet for Audio Signal Classification
Its output feature is related to Cohen's class of time-frequency distributions.
Sound
DCTNet and PCANet for acoustic signal feature extraction
We introduce the use of DCTNet, an efficient approximation and alternative to PCANet, for acoustic signal classification.
Sketching for Sequential Change-Point Detection
We study sequential change-point detection procedures based on linear sketches of high-dimensional signal vectors using generalized likelihood ratio (GLR) statistics.
Data Representation using the Weyl Transform
The Weyl transform is introduced as a rich framework for data representation.
