Sequential non-Gaussian pattern recognition with supervised learning.
Periagaram K. RajasekaranMandyam D. SrinathPublished in: IEEE Trans. Inf. Theory (1973)
Keyphrases
- pattern recognition
- supervised learning
- machine learning
- training data
- image analysis
- learning tasks
- computer vision
- gaussian distribution
- pattern analysis
- pattern recognition problems
- semi supervised learning
- unsupervised learning
- neural network
- image processing
- non stationary
- semi supervised
- signal processing
- reinforcement learning
- supervised machine learning
- feature extraction
- training samples
- independent component analysis
- learning problems
- training examples
- sequential data
- training set
- active learning
- supervised classification
- pattern classification
- field of pattern recognition
- class labels
- unlabeled data
- fuzzy sets
- data mining
- parallel algorithm
- speech recognition
- statistical learning
- generalization error
- factor analysis
- multiple instance learning
- computational intelligence
- similarity measure
- heavy tailed