A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets.
Emmanuel G. PintelasIoannis E. LivierisPanagiotis E. PintelasPublished in: Sensors (2021)
Keyphrases
- high dimensional
- restricted boltzmann machine
- feature space
- pattern recognition
- machine learning
- classification systems
- automatic classification
- pattern classification
- classification accuracy
- dimension reduction
- training samples
- support vector machine
- image classification
- text classification
- high dimensionality
- feature selection
- feature extraction
- preprocessing
- probabilistic model
- feature vectors
- machine learning algorithms
- decision trees
- classification method
- machine learning methods
- classification scheme
- sparse coding
- microarray data
- classification process
- support vector
- noisy data
- dimensionality reduction
- training set
- classification algorithm
- cross validation
- low dimensional