Salience Assignment for Multiple-Instance Regression

author: Terran Lane, Computer Science Dept, University of New Mexico

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*Slides*
0:00	Salience assignment for multiple-instance regression
0:31	Target task-part01
1:33	Target task-part02
1:43	Observable data
2:17	The challenge(s)-part01
2:34	The challenge(s)-part02
3:23	The challenge(s)-part03
3:53	The challenge(s)-part04
5:10	ML Problem(s)
6:09	Prior art
7:35	Structure of a Bag-part01
7:50	Structure of a Bag-part02
7:56	Structure of a Bag-part03
7:59	Structure of a Bag-part04
8:08	Multi-bag regression-part01
8:14	Multi-bag regression-part02
8:22	Which point(s) to model?
9:27	Picking an examplar
14:25	The objective function-part01
14:56	The objective function-part02
15:48	The objective function-part03
16:16	Challenges, reprised
16:50	Seperate and conquer
17:26	The AP-Salience algorithm-part01
18:28	Alternating projections-part01
19:37	Alternating projections-part02
20:15	The AP-Salience algorithm-part02
21:13	But... Does it work?
22:00	Salience depends on target
23:44	Salience stability over time
25:02	Whither next?
26:48	Thank you

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