| 1 |
Introduction, Tutorial on PCA |
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| 2 |
Eigenfaces |
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| 3 |
Active Appearance Models |
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| 4 |
Tutorial on EM |
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| 5 |
Learning Flexible Sprites in Video Layers |
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| 6 |
LLE and other Manifold Learning Methods |
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| 7 |
EM Segmentation |
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| 8 |
Tutorial on Calculus of Variations |
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| 9 |
Mumford-Shah |
Proposals due |
| 10 |
Snakes |
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| 11 |
Geodesic Active Contours |
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| 12 |
Shape Based Curve Evolution |
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| 13 |
Tutorial on Clustering |
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| 14 |
Spectral Clustering |
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| 15 |
Normalized Cuts |
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| 16 |
Graph Cuts for Energy Minimization |
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| 17 |
Belief Propagation |
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| 18 |
SIFT |
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| 19 |
Constellation Model |
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| 20 |
Shape Context |
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| 21 |
Local Descriptors |
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| 22 |
Object Recognition |
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| 23 |
Finite Element Models |
Final papers due |
| 24 |
Non-rigid Registration using B-splines |
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| 25 |
Belief Propagation in Image Analysis |
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| 26 |
Doing Photogrammetry Right |
Paper reviews due |
