The 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)

Spectral Clustering and Embedding with Hidden Markov Models

author: Tony Jebara, Columbia University

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*Slides*
0:00	Spectral Clustering and Embedding with Hidden Markov Models
0:28	Outline
2:04	Unsupervised Learning
3:52	Density Estimation (1)
5:37	Density Estimation (2)
6:14	Probability Product Kernel (1)
6:55	Probability Product Kernel (2)
7:54	Probability Product Kernel (3)
9:25	Probability Product Kernel (4)
10:56	Probability Product Kernel (5)
11:51	Clustering
13:24	Parametric EM Clustering (1)
14:25	Parametric EM Clustering (2)
15:07	Nonparametric Spectral Clustering
16:22	Motion Capture
17:01	Spectral Clustering with PPK (1)
17:29	Spectral Clustering with PPK (2)
17:43	Clustering MOCAP (1)
18:43	Clustering MOCAP (2)
19:25	Clustering Arabic Characters
20:01	Clustering Sign Language
20:31	Clustering Network Traces
20:39	Clustering MOCAP -> Runtime
21:22	Embedding MOCAP
21:49	Emedding Arabic & ASL
22:11	Conclusions

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