Data Augmentation Method based on Feature Extraction for Improving Classification Performance of CNN.
Eun-Kyeong KimJin Yong KimBaekcheon KimSungshin KimPublished in: ASCC (2022)
Keyphrases
- feature extraction
- synthetic data
- support vector machine svm
- data sets
- classification method
- classification accuracy
- preprocessing
- extracted features
- pattern classification
- feature set
- noisy data
- prior knowledge
- training data
- input data
- classification scheme
- data analysis
- training samples
- pairwise
- ordinal data
- test data
- input vectors
- support vector machine
- data sources
- dimension reduction
- bayesian methods
- machine learning methods
- missing data
- clustering method
- cross validation
- decision rules
- data structure
- classification process
- face recognition
- support vector
- feature extraction and classification
- selecting relevant features
- confidence scores
- image feature extraction
- statistical methods
- face detection
- semi supervised
- data points
- feature space
- similarity measure
- decision trees
- data mining