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Learning Structure and Symmetry
Published on Jul 02, 20123350 Views
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Chapter list
Learning Structure and Symmetry00:00
Graph-Based Representations00:27
Learning with Graphs03:11
Difficulties in Graph Learning04:27
Learning with graphs05:49
Learning Structure07:58
Tree Union (Torsello and Hancock 2006)08:00
Learning the model (1)09:48
Learning the model (2)11:04
Generative Graph Model (1)11:46
Generative Graph Model (2)13:25
Correspondences14:35
Symmetry bias16:36
Overcoming the Bias20:46
Correspondence Sampler22:40
Example22:41
Sampler Vs. Model Variance22:44
Sampler Variance (1)24:30
Sampler Variance (2)25:00
Learning the Model25:18
Shock Graphs: Precision and Recall25:54
COIL-20: Precision and Recall27:03
Characterizing Symmetries27:07
Quantum Walks27:51
Quantum Walk28:38
Axial Symmetries – threshold 0.00130:04
Axial Symmetries – threshold 0.0132:19
Axial Symmetries – threshold 0.133:08
Axial Symmetries – threshold 0.1533:54
Axial Symmetries – threshold 0.234:14