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Kaltura Capture recording - October 3rd 2020, 8:35:07 pm

lecture 4 part 2

From  Pauline Phemister on October 4th, 2020 0 likes 11 plays 0  

Lecture 1 Part 3 Kaltura Capture recording - September 10th 2020, 2:59:52 pm

Lecture 1 part 3

From  Pauline Phemister on September 10th, 2020 0 likes 12 plays 0  

When principal components fail

When principal components fail

From  Nigel Goddard on September 25th, 2016 1 likes 1,145 plays 0  

Eigenvalue = variance along eigenvector

Eigenvalue = variance along eigenvector

From  Nigel Goddard on September 25th, 2016 1 likes 1,247 plays 0  

Eigenvector = direction of maximum variance

Eigenvector = direction of maximum variance

From  Nigel Goddard on September 25th, 2016 2 likes 1,608 plays 0  

Principal components = eigenvectors

Principal components = eigenvectors

From  Nigel Goddard on September 25th, 2016 1 likes 1,706 plays 0  

Tackling the curse of dimensionality

Tackling the curse of dimensionality

From  Nigel Goddard on September 25th, 2016 1 likes 1,492 plays 0  

The curse of dimensionality

The curse of dimensionality

From  Nigel Goddard on September 25th, 2016 2 likes 1,495 plays 0  

Data manifolds in high-dimensional spaces

Data manifolds in high-dimensional spaces

From  Nigel Goddard on September 25th, 2016 2 likes 1,498 plays 0  

Real dimensionality vs observed dimensionality

Real dimensionality vs observed dimensionality

From  Nigel Goddard on September 25th, 2016 1 likes 1,733 plays 0  

Gaussian mixture model (GMM)

Gaussian mixture model (GMM)

From  Nigel Goddard on September 25th, 2016 0 likes 1,762 plays 0  

K-means for image representation

K-means for image representation

From  Nigel Goddard on September 25th, 2016 1 likes 1,281 plays 0  

Breaking ties between nearest neighbors

Breaking ties between nearest neighbors

From  Nigel Goddard on September 21st, 2016 1 likes 1,471 plays 0  

Inverted index

Inverted index

From  Nigel Goddard on September 21st, 2016 1 likes 1,376 plays 0