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06/12/2023
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method
Asymmetric data naturally exist in real life, such as directed graphs. D...
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06/12/2023
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers
In contrast to deep networks, kernel methods cannot directly take advant...
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06/09/2023
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
The goal of this paper is to revisit Kernel Principal Component Analysis...
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05/31/2023
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
Recently, a new line of works has emerged to understand and improve self...
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02/22/2023
Deep Kernel Principal Component Analysis for Multi-level Feature Learning
Principal Component Analysis (PCA) and its nonlinear extension Kernel PC...
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01/31/2023
Semi-Supervised Classification with Graph Convolutional Kernel Machines
We present a deep Graph Convolutional Kernel Machine (GCKM) for semi-sup...
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07/23/2022
Tensor-based Multi-view Spectral Clustering via Shared Latent Space
Multi-view Spectral Clustering (MvSC) attracts increasing attention due ...
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02/16/2021
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine
Detecting out-of-distribution (OOD) samples is an essential requirement ...
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11/25/2020