Accelerating the Training Process of Convolutional Neural Networks for Classification by Dropping Training Samples out.
Naisen YangHong TangJianwei YueXin YangZhihua XuPublished in: IGARSS (2018)
Keyphrases
- training process
- training samples
- training data
- training set
- supervised learning
- learning algorithm
- number of training samples
- decision boundary
- test sample
- neural network
- feature space
- hyperplane
- classification error
- high dimensional
- support vector machine
- semi supervised
- support vectors
- decision function
- adaboost algorithm
- sparse coding
- classification accuracy
- face images
- decision trees
- learning process
- base classifiers
- sample set
- text classification
- test data
- class labels
- least squares
- feature extraction
- machine learning