SVMs using geometric algebra for 3D computer vision

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2001, Pages 872-877

  Bayro Corrochano, E ^a   Vallejo, R ^a  

^a UNIDAD GUADALAJARA   (Mexico)

Author keywords

Clifford (geometric) algebra; Geometric learning; Geometric MLPs; RBFs; Support multi vector machines; SVM

Indexed keywords

ALGEBRA; COMPUTER VISION; LEARNING SYSTEMS; TENSORS;

GEOMETRIC ALGEBRA; GEOMETRIC LEARNING; MULTIDIMENSIONAL LEARNING; NEUROCOMPUTING; SUPPORT MULTIVECTOR MACHINES;

NEURAL NETWORKS;

EID: 0034862729     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Selforganizing clifford neural network
2. Geometric neural networks and support multi-vector machines
3. Geometric neural computing
4. Approximation by superposition of a sigmoidal function
5. Tensorial approach to the geometry of brain function: Cerebellar coordination via a metric tensor
6. Tensor network theory of the metaorganization of functional geometries in the central nervous system
7. An efficient and accurate camera calibration technique for 3D machine vision