ECCV22 Paper "Batch-efficient EigenDecomposition for Small and Medium Matrices"
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Updated
Feb 4, 2023 - Python
ECCV22 Paper "Batch-efficient EigenDecomposition for Small and Medium Matrices"
ECCV22 "Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality" and T-PAMI extension
Statistical Shape Model using PCA on standard 2D hand dataset
Official code repository for "Distribution-Independent Confidence Intervals for the Eigendecomposition of Covariance Matrices via the Eigenvalue-Eigenvector Identity" (ICML 2021 Workshop on Distribution-Free Uncertainty Quantification).
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