Accelerating Very Deep Convolutional Networks for Classification and Detection.
Xiangyu ZhangJianhua ZouKaiming HeJian SunPublished in: CoRR (2015)
Keyphrases
- decision trees
- support vector
- pattern recognition
- classification accuracy
- classification algorithm
- support vector machine svm
- machine learning
- feature selection
- microcalcification clusters
- neyman pearson
- deep learning
- classification scheme
- automatic classification
- pattern classification
- classification method
- detection method
- text classification
- image classification
- preprocessing
- false positives
- feature extraction and classification
- classification systems
- detection accuracy
- support vector machine
- feature extraction
- bayesian networks
- mammogram images
- robust detection
- spam detection
- feature vectors
- training samples
- false alarms
- object detection
- automatic detection
- supervised learning
- class labels
- machine learning algorithms
- unsupervised learning