conftrace_

covariance operator

11 papers

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Co-occurring keywords · papers mentioning both

kernel methods (6) reproducing kernel hilbert space (5) mahalanobis distance (2) functional data analysis (2) image classification (2) matrix classification (1) tikhonov regularization (1) operator-valued kernel (1) shrinkage estimation (1) surrogate kernel (1)

Papers

Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025 Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels AISTATS 2024 Practical Markov Boundary Learning without Strong Assumptions AAAI 2023 On Mahalanobis Distance in Functional Settings JMLR 2020 Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification CVPR 2016 Covariance-based Clustering in Multivariate and Functional Data Analysis JMLR 2016 Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NeurIPS 2014 A Generalized Kernel Approach to Structured Output Learning ICML 2013 On the Sample Complexity of Subspace Learning NeurIPS 2013 Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007 Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces JMLR 2004