On the Classification Consistency of High-Dimensional Sparse Neural Network.
Kaixu YangTaps MaitiPublished in: DSAA (2019)
Keyphrases
- high dimensional
- neural network
- pattern recognition
- learning vector quantization
- high dimensionality
- feature space
- high dimension
- classification accuracy
- dimension reduction
- sparse data
- artificial neural networks
- image classification
- sparse coding
- low dimensional
- decision trees
- kohonen self organizing map
- dictionary learning
- machine learning
- support vector machine svm
- text classification
- feature extraction
- feature selection
- classification algorithm
- small sample size
- nearest neighbor
- support vector machine
- unsupervised learning
- multi layer perceptron
- fuzzy logic
- variable selection
- preprocessing
- nearest neighbour
- automatic classification
- training process
- classification models
- incremental learning
- recurrent neural networks
- supervised learning
- dimensionality reduction
- training samples