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04/03/2023
Improving Autoencoder-based Outlier Detection with Adjustable Probabilistic Reconstruction Error and Mean-shift Outlier Scoring
Autoencoders were widely used in many machine learning tasks thanks to t...
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03/17/2023
Neighborhood Averaging for Improving Outlier Detectors
We hypothesize that similar objects should have similar outlier scores. ...
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09/26/2022
Randomized Rank-Revealing QLP for Low-Rank Matrix Decomposition
The pivoted QLP decomposition is computed through two consecutive pivote...
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09/06/2022
USLN: A statistically guided lightweight network for underwater image enhancement via dual-statistic white balance and multi-color space stretch
Underwater images are inevitably affected by color distortion and reduce...
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06/18/2021
Sparse Linear Spectral Unmixing of Hyperspectral images using Expectation-Propagation
This paper presents a novel Bayesian approach for hyperspectral image un...
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11/29/2020
A comparison of handcrafted, parameterized, and learnable features for speech separation
The design of acoustic features is important for speech separation. It c...
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12/21/2017