Accelerating the Training Process of Convolutional Neural Networks for Image Classification by Dropping Training Samples Out.
Naisen YangHong TangJianwei YueXin YangZhihua XuPublished in: IEEE Access (2020)
Keyphrases
- training process
- training samples
- convolutional neural networks
- image classification
- training data
- convolutional network
- training set
- image representation
- feature extraction
- bag of words
- supervised learning
- feature space
- training examples
- learning algorithm
- support vector machine
- hyperplane
- classification accuracy
- svm classifier
- decision function
- classification error
- number of training samples
- visual words
- neural network
- decision trees
- support vectors
- image features
- decision boundary
- test sample
- data sets
- sparse coding
- test data
- high dimensional
- face images
- adaboost algorithm
- learning process
- computer vision
- representative samples
- semi supervised