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Support Constraints Machines
Published on Oct 17, 20113633 Views
The theory of kernel machines has had an enormous impact in different in different fields, including pattern recognition and computer vision. However, it offers quite primitive models of most interest
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Chapter list
Support Constraint Machines: Bridging perception and symbolic reasoning00:00
Acknowledgments01:14
Outline01:36
Environment and constraints02:37
Labeled examples are constraints ...02:40
Diagnosis and prognosis in medicine04:44
Handwritten char discrimination05:07
Text categorization06:00
Optical flow07:14
(Logic) constraints08:28
(Logic) constraints (con´t)11:33
Agents and constraints11:42
Equivalence13:36
Learning from (given) constraints13:37
Ambient space13:38
Semi-norm in Sobolev spaces16:51
Parsimony Principle18:28
Representation (hard constraints)21:24
Soft-constraints24:32
Lagrange multipliers and probability density24:33
Two remarkable "examples"24:57
Where do kernel machines come from ...25:57
When kernels arise form regularization operators ...26:54
New Kernels (from prior knowledge)27:55
Putting things in context by unsupervised data28:24
Reduction to kernels30:02
Case studies30:20
Preliminary "walk-through"30:21
Multi-intervals30:40
Box kernels - 131:32
Box kernels - 233:33
Perceptual and logic constraints ... - 134:20
Perceptual and logic constraints ... - 236:03
The effect of forcing logic constraints36:48
Two-stages ...36:56
Constrain Check and Perceptual Logic38:16
Poly check40:17
Learning from points and clauses41:11
Checking (logic) constraints - 143:21
Checking (logic) constraints - 244:02
Checking (logic) constraints - 344:03
Checking (logic) constraints - 444:05
Checking in the environment!44:06
Checking constraints45:47
Conclusions46:38
Do you want know more?46:41