Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja GiryesGuillermo SapiroAlexander M. BronsteinPublished in: IEEE Trans. Signal Process. (2016)
Keyphrases
- neural network
- pattern recognition
- learning vector quantization
- classification accuracy
- feature weights
- decision trees
- preprocessing
- support vector machine
- classification scheme
- multi layer perceptron
- feature selection
- training process
- text classification
- automatic classification
- support vector machine svm
- neural nets
- feature extraction
- classification models
- pattern classification
- gaussian mixture model
- machine learning
- supervised learning
- data sets
- feature space
- class conditional
- neyman pearson
- multi layer
- fuzzy decision trees
- feed forward
- classification method
- classification algorithm
- class labels
- machine learning algorithms
- linear combination
- model selection
- denoising
- fuzzy logic
- feature vectors