This work is supported by the National Natural Science Foundation of China (No.60576055), and Pre-Research and Defense Fund of China (No.9140C80002080C80).
The methods of manifold dimensionality reduction proposed recently are just for single dimensional data and signals. So this paper proposed the general frame- work of Clifford manifold learning, and solved the prob- l...
This work is supported by the National Natural Science Foundation of China (No.60576055).
A novel approach for multi-dimension signals processing, that is multi-weight neural network based on high dimensional geometry theory, is proposed. With this theory, the geometry algorithm for building the multiweigh...