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ShareBoost: Boosting for Multi-View Learning with Performance Guarantees
Published on Oct 03, 20113187 Views
Algorithms combining multi-view information are known to exponentially quicken classification, and have been applied to many fields. However, they lack the ability to mine most discriminant informatio
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Chapter list
ShareBoost: Boosting for Multi‐View Learning with Performance Guarantees00:00
Motivation00:53
Applications02:01
New Algorithm for Multi‐View Learning02:35
AdaBoost03:09
AdaBoost Applied Independently04:54
ShareBoost: Exploit Interplay between Views05:49
Randomized ShareBoost (rShareBoost) - 108:48
Randomized ShareBoost (rShareBoost) -210:45
Randomized ShareBoost (rShareBoost) - 312:13
Simple Illustration – Iris Flowers13:27
Simple Illustration (1)13:31
Simple Illustration (2)13:55
Simple Illustration (3)14:33
Simple Illustration (4)15:39
Simple Illustration (5)16:12
Simple Illustration (6)16:19
Experiments16:38
Performance of ShareBoost and rShareBoost over 150 Base Classifiers (1)18:36
Performance of ShareBoost and rShareBoost over 150 Base Classifiers (2)19:12
Performance of ShareBoost and rShareBoost over 150 Base Classifiers (3)19:19
Performance of ShareBoost and rShareBoost over 150 Base Classifiers (4)19:30
Summary19:42