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20162022
most citedRobust Kernelized Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization

5 citations · 10 across the 7 of their papers we have counts for

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2 papers · 1 filter

cs.LG2021★ 2 cited

Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization

Zelin Ren, Xuebing Yang, Yuchen Jiang +1

Kernel principal component analysis (KPCA) is a well-recognized nonlinear dimensionality reduction method that has been widely used in nonlinear fault detection tasks. As a kernel…

cs.LG2018

Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces

Haifang Li, Yingce Xia, Wensheng Zhang

Policy evaluation with linear function approximation is an important problem in reinforcement learning. When facing high-dimensional feature spaces, such a problem becomes extremel…