2020
AAAI
AAAI 2020
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract)
Abstract
Abstract Outlier based Robust Principal Component Analysis (RPCA) requires centering of the non-outliers. We show a “bias trick” that automatically centers these non-outliers. Using this bias trick we obtain the first RPCA algorithm that is optimal with respect to centering.
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Interdisciplinary Bridge
— Machine Learning and Mathematics & Optimization
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Machine Learning > Core Methods > Representation Learning
Machine Learning > Optimization & Theory > Optimization
Mathematics & Optimization > Mathematics > Linear Algebra
Machine Learning > Core Methods > Dimensionality Reduction
Machine Learning > Core Methods > Matrix Factorization
Machine Learning > Core Methods > Anomaly Detection