Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"robust PCA"”.
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Algorithms and Theory for Robust PCA and Phase Retrieval
… The first part focuses on the problem of \emph{robust principal component analysis} (PCA), which aims to recover an unknown low-rank matrix from a corrupted and partially-observed matrix. </p> <p>The robust PCA problem, originally nonconvex itself, has been solved via a convex relaxation based …
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Robust learning with low-dimensional structure: theory,algorithms and applications
In this thesis, we study the robust learning of low-dimensional structures when there are uncertainties in the data. In particular, we consider two structures that are common in real problems: ?low-rank subspace model? that underlies matrix completion and Robust PCA, and ?union-of-subspace model? …
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Fully automatic vision-based system for vehicle crash prediction and recognition
… method first detects and tracks vehicles using Robust Principal Component Analysis (Robust PCA) and Kalman Filters in order to extract trajectories. Pairs of vehicles trajectories are then segmented and classified by a Support Vector Machine (SVM) in order to determine the likelihood of a …
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Principled approaches to robust machine learning and beyond
… increasingly important that these algorithms are robust to systematic, or worse, malicious, noise. Despite considerable interest, no efficient algorithms were known to be robust to such noise in high dimensional settings for some of the most fundamental statistical tasks for over sixty years of …
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On guided model-based analysis for ear biometrics
… advantages when handling occluded data. A robust matching technique is also added to restrict the influence of corrupted wavelet projections. <br/><br/>Furthermore, our automatic enrolment is tolerant of occlusion in ear samples. We shall present a thorough evaluation of performance in …