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05/31/2023
A Nested Matrix-Tensor Model for Noisy Multi-view Clustering
In this paper, we propose a nested matrix-tensor model which extends the...
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04/20/2023
Hotelling Deflation on Large Symmetric Spiked Tensors
This paper studies the deflation algorithm when applied to estimate a lo...
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02/11/2023
Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory
This paper tackles the problem of recovering a low-rank signal tensor wi...
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11/16/2022
On the Accuracy of Hotelling-Type Tensor Deflation: A Random Tensor Analysis
Leveraging on recent advances in random tensor theory, we consider in th...
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12/23/2021
When Random Tensors meet Random Matrices
Relying on random matrix theory (RMT), this paper studies asymmetric ord...
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09/04/2021
Node Feature Kernels Increase Graph Convolutional Network Robustness
The robustness of the much-used Graph Convolutional Networks (GCNs) to p...
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02/18/2021
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
Most recent person re-identification approaches are based on the use of ...
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01/21/2020
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
This paper shows that deep learning (DL) representations of data produce...
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04/04/2019
Deep Multi-class Adversarial Specularity Removal
We propose a novel learning approach, in the form of a fully-convolution...
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02/27/2019
Generative Collaborative Networks for Single Image Super-Resolution
A common issue of deep neural networks-based methods for the problem of ...
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12/27/2017