conftrace_

principal components analysis

8 papers

Explore in graph

Also known as

PCA

Co-occurring keywords · papers mentioning both

principal component analysis (4) dimensionality reduction (2) low-rank approximation (1) matrix perturbation (1) privacy preserving (1) eigenvalue decomposition (1) matrix approximation (1) spectral decomposition (1) deep neural network (1) privacy-utility trade-off (1)

Papers

Low-dimensional Style Token Control for Hyperarticulated Speech Synthesis Interspeech 2024 Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks JMLR 2022 PyMiceTracking: An Open-Source Toolbox for Real-Time Behavioral Neuroscience Experiments CVPR 2022 Bilingual Acoustic Voice Variation is Similarly Structured Across Languages Interspeech 2020 Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated NeurIPS 2016 Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation CVPR 2016 Scale-space Processing Using Polynomial Representations CVPR 2014 Near-optimal Differentially Private Principal Components NeurIPS 2012