Johns Hopkins Biomedical Engineering
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Rene Vidal Unsupervised Learning - JHU BME
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Lecture 1 | Syllabus + Introduction + Basics of Linear Algebra (Hopkins)
Lecture 7 PCA with Missing Entries via Convex Optimization (Hopkins)
Lecture 11 Robust PCA via Alternating Minimization I (Hopkins)
Lecture 3 Statistical View of PCA (Hopkins)
Lecture 14 Kernel PCA (Hopkins)
Lecture 10 Extensions + PCA with Outliers via Convex Optimization L1 (Hopkins)
Lecture 15 Locally Linear Embedding LLE (Hopkins)
Lecture 12 Robust PCA via Alternating Minimization II (Hopkins)
Lecture 13 Nonlinear PCA (Hopkins)
Lecture 9 PCA with Outliers via Convex Optimization L21 (Hopkins)
Lecture 4 Geometric View of PCA (Hopkins)
Lecture 6 Model Selection for PCA (Hopkins)
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