Machine Learning over Text & Images - Autumn School

Image Analysis

author: Christos Faloutsos, Carnegie Mellon University

Categories

Top: Computer Science: Image Analysis

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*Slides*
0:00	Image and Multimedia Mining
0:07	Outline
0:25	Problem #1: Similarity search
1:13	Problem #1: Similarity search01
1:23	Problem #1: Similarity search02
2:07	Problem #2: Mining
2:42	Problem #2: Mining01
3:00	Problem definition
3:28	Motivation - applications: Images
4:43	Motivation - applications: Video
5:48	Motivation - applications: Time sequences
6:40	Motivation
7:21	Motivation - Applications (cont’d)
8:11	Outline
8:26	Indexing
8:38	distance function: by expert
9:48	Idea: ‘GEMINI’
10:22	‘GEMINI’ - Pictorially
11:25	GEMINI
12:20	Examples of GEMINI
12:37	Examples of GEMINI01
12:53	Indexing - SAMs
13:24	R-trees
14:25	R-trees01
14:32	R-trees02
15:14	R-trees - range search?
15:36	R-trees - range search?01
16:30	Conclusions
17:11	Outline
17:25	Outline01
17:35	DFT and cousins
17:52	DFT and stocks
18:10	DFT and stocks01
18:53	Outline
19:03	SVD
19:10	SVD - Motivation
19:37	SVD - Motivation01
19:43	SVD – dim. reduction
19:55	Singular Value Decomposition (SVD)
20:37	SVD
21:11	SVD shorcuts
23:11	Random projections
23:16	Outline
23:24	MDS / FastMap
23:39	MDS/FastMap01
24:34	MDS
26:43	FastMap
26:49	FastMap: Application
28:18	Conclusions - Practitioner’s guide

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