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10/16/2022
Demystifying CNNs for Images by Matched Filters
The success of convolution neural networks (CNN) has been revolutionisin...
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03/14/2021
Von Mises-Fisher Elliptical Distribution
A large class of modern probabilistic learning systems assumes symmetric...
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09/09/2020
Meta-learning for Multi-variable Non-convex Optimization Problems: Iterating Non-optimums Makes Optimum Possible
In this paper, we aim to address the problem of solving a non-convex opt...
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06/15/2020
Reciprocal Adversarial Learning via Characteristic Functions
Generative adversarial nets (GANs) have become a preferred tool for acco...
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01/02/2020
Graph Signal Processing – Part III: Machine Learning on Graphs, from Graph Topology to Applications
Many modern data analytics applications on graphs operate on domains whe...
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06/09/2019
A general solver to the elliptical mixture model through an approximate Wasserstein manifold
This paper studies the problem of estimation for general finite mixture ...
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03/05/2019
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models
We propose a new structure for the complex-valued autoencoder by introdu...
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05/21/2018
A universal framework for learning based on the elliptical mixture model (EMM)
An increasing prominence of unbalanced and noisy data highlights the imp...
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10/27/2017
