Nonlinear principal manifolds–adaptive hybrid learning approaches

H Yin - International Workshop on Hybrid Artificial Intelligence …, 2008 - Springer
Dimension reduction has long been associated with retinotopic mapping for understanding
cortical maps. Multisensory information is processed, fused, fed and mapped to a 2-D cortex …
被引用次数：2 相关文章

Nonlinear principal manifolds-Adaptive hybrid learning approaches

H Yin - 3rd International Workshop on Hybrid Artificial …, 2008 - research.manchester.ac.uk
Dimension reduction has long been associated with retinotopic mapping for understanding
cortical maps. Multisensory information is processed, fused, fed and mapped to a 2-D cortex …

Nonlinear Principal Manifolds---Adaptive Hybrid Learning Approaches

H Yin - Proceedings of the 3rd international workshop on …, 2008 - dl.acm.org
Dimension reduction has long been associated with retinotopic mapping for understanding
cortical maps. Multisensory information is processed, fused, fed and mapped to a 2-D cortex …

Nonlinear Principal Manifolds–Adaptive Hybrid Learning Approaches

H Yin - … Systems: Third International Workshop, HAIS 2008 …, 2008 - books.google.com
Dimension reduction has long been associated with retinotopic mapping for understanding
cortical maps. Multisensory information is processed, fused, fed and mapped to a 2-D cortex …

Nonlinear Principal Manifolds–Adaptive Hybrid Learning Approaches

H Yin - Hybrid Artificial Intelligence Systems - infona.pl
Dimension reduction has long been associated with retinotopic mapping for understanding
cortical maps. Multisensory information is processed, fused, fed and mapped to a 2-D cortex …

Nonlinear Principal Manifolds–Adaptive Hybrid Learning Approaches

H Yin - … Systems: Third International Workshop, HAIS 2008 …, 2008 - books.google.com
Dimension reduction has long been associated with retinotopic mapping for understanding
cortical maps. Multisensory information is processed, fused, fed and mapped to a 2-D cortex …

[引用][C] Nonlinear Principal Manifolds–Adaptive Hybrid Learning Approaches

H Yin - Hybrid Artificial Intelligence Systems, 2008 - Springer