Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Physics-Based Deformable Models: Applications to Computer Vision, Graphics, and Medical Imaging
Physics-Based Deformable Models: Applications to Computer Vision, Graphics, and Medical Imaging
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Three different machine learning algorithms applied to 3D object modeling are compared. The methods considered, (Support Vector Machine, Growing Grid and Kohonen Feature Map) were compared in their capacity to model the surface of several synthetic and experimental 3D objects. The preliminary experimental results show that with slight modifications these learning algorithms can be very well adapted to the task of object modeling. In particular the Support Vector Machine Kernel method seems to be a very promising tool.