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kernel principal component analysis

30 papers

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Also known as

KERNEL PCA KPCA

Co-occurring keywords

kernel methods (1096) kernel pca (19) dimensionality reduction (720) support vector machine (976) reproducing kernel hilbert space (334) nystrom method (46) principal component analysis (316) spectral clustering (304) stochastic optimization (1060) computational efficiency (358)

Papers

A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny ACL 2025
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis NIPS 2024
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms ICML 2023
Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA JMLR 2022
Kernel Methods for Radial Transformed Compositional Data with Many Zeros ICML 2022
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence JMLR 2022
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation EMNLP 2020
Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling AISTATS 2020
Improving Word Embeddings Using Kernel PCA ACL 2019
Autoencoding any Data through Kernel Autoencoders AISTATS 2019
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA JMLR 2019
Multi-scale Nystrom Method AISTATS 2018
Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes JMLR 2016
Streaming Kernel Principal Component Analysis AISTATS 2016
Automatic Detection of Parkinson’s Disease Based on Modulated Vowels INTERSPEECH 2016
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NIPS 2015
On One-Shot Similarity Kernels: Explicit Feature Maps and Properties ICCV 2013
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices CVPR 2013
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011
Kernel Descriptors for Visual Recognition NIPS 2010
On Learning with Integral Operators JMLR 2010
Avoiding False Positive in Multi-Instance Learning NIPS 2010
Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009
Theory of matching pursuit NIPS 2008
Robust Kernel Principal Component Analysis NIPS 2008