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Semi-Supervised Learning of Semantic Spatial Concepts for a Mobile Robot
Published on Apr 25, 20122763 Views
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Chapter list
Semi-Supervised Learning of Semantic Spatial Concepts for a Mobile Robot00:00
Summary00:25
Summary: Project description00:37
Project details00:38
The place recognition problem in robot navigation01:48
Project’s main goals04:36
Publications07:32
Summary: Online multikernel learning08:09
Online multikernel learning08:10
The mother of all online algorithms11:12
Online multikernel learning (cont.)14:48
Datasets - 118:00
Datasets - 218:33
Datasets - 320:13
Datasets - 424:17
Summary: Selective sampling25:44
Making each label more worth25:52
Data model27:13
The BBQ algorithm28:19
Rates for BBQ30:40
Other RLS-based selective samplers32:50
Active multiview online learning34:41
A hybrid algorithm35:40
Synthetic dataset, Linear Kernel37:52
A9A, Gaussian Kernel38:47
RCV1, Linear Kernel39:24
Conclusions40:07