Feature Extraction Based on Denoising Auto Encoder for Classification of Adversarial Examples.
Yuma YamasakiMinoru KuribayashiNobuo FunabikiHuy H. NguyenIsao EchizenPublished in: APSIPA ASC (2021)
Keyphrases
- feature extraction
- denoising
- pattern classification
- feature vectors
- pattern recognition
- support vector machine svm
- feature selection
- image classification
- feature space
- preprocessing
- dimension reduction
- image processing
- classification accuracy
- frequency domain
- support vector
- classification scheme
- extracted features
- text classification
- machine learning
- feature representation
- feature extraction and classification
- image feature extraction
- classification method
- computer vision
- bit rate
- feature set
- decision trees
- wavelet transform
- noisy images
- face recognition
- rate distortion
- dimensionality reduction
- classification algorithm
- principal component analysis
- supervised learning
- texture analysis
- natural images
- total variation
- texture classification
- multi class
- support vector machine
- multi agent
- denoising algorithm
- denoising methods
- training examples
- pattern representation