A neural network learning for adaptively extracting cross-correlation features between two high-dimensional data streams.
Da-Zheng FengXian-Da ZhangZheng BaoPublished in: IEEE Trans. Neural Networks (2004)
Keyphrases
- cross correlation
- neural network
- learning algorithm
- learning process
- prior knowledge
- genetic algorithm
- feature space
- neural nets
- feature set
- feedforward neural networks
- feed forward
- back propagation
- unsupervised learning
- mutual information
- feature vectors
- online learning
- maximum likelihood
- image features
- active learning
- frequency domain
- learning tasks
- multiresolution
- artificial neural networks
- image processing
- extracting features