Lectures

Lecture 1  (24.10.13) 

Lecture 2  (31.10.13)

Lecture 3  (07.11.13) 
Lecture 4  (14.11.13)
Lecture 5  (21.11.13) 
Lecture 6  (28.11.13)

Lecture 7  (05.12.13) 
Lecture 8  (12.12.13)
Lecture 9  (16.01.14) 

Lecture 10  (23.01.14) (New)
Lecture 11  (30.01.14) (New)
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01-intro.pdf
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10-storage.ipynb
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12-video.ipynb
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20-nearest-neighbor.ipynb
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24-color-histograms.ipynb
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28-texture-segmentation.ipynb
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30-kmeans.ipynb
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32-clustering.ipynb
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34-hierarchical-clustering.ipynb
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38-kmeans-pca-tree.ipynb
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40-codebooks.ipynb
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41-visual-bow.ipynb
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45-harris-corners.ipynb
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46-corners-and-interest-points.ipynb
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48-sift-descriptors.ipynb
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50-features-and-descriptors.ipynb
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60-nearest-neighbor.ipynb
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62-dist-hidim.ipynb
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64-lodim-images.ipynb
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66-fast-nearest-neighbor.ipynb
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70-hough-transform-lines.ipynb
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72-ransac-lines.ipynb
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74-rast-lines.ipynb
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78-image-matching.ipynb
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79-opencv-matching.ipynb
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80-segmentation.ipynb
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82-snakes.ipynb
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90-dtw.ipynb
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92-markov-models.ipynb
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94-hmm-ocr.ipynb
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Feb 4, 2014, 4:09 AM
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