Machine-learning-based hotspot detection using topological classification and critical feature extraction.
Yen-Ting YuGeng-He LinIris Hui-Ru JiangCharles C. ChiangPublished in: DAC (2013)
Keyphrases
- feature extraction
- machine learning
- pattern recognition
- feature extraction and classification
- pattern classification
- feature selection
- support vector machine svm
- machine learning methods
- feature vectors
- supervised learning
- text classification
- image classification
- preprocessing
- feature space
- support vector machine
- decision trees
- supervised classification
- machine learning algorithms
- extracted features
- learning algorithm
- neural network
- mammogram images
- computer vision
- feature set
- support vector
- classification accuracy
- unsupervised learning
- image feature extraction
- robust detection
- dimension reduction
- object detection
- texture features
- classification method
- detection method
- detection algorithm
- model selection
- discriminant analysis
- automatic detection
- class labels
- social media
- training set
- machine learning approaches
- supervised machine learning
- preprocessing stage
- text mining
- frequency analysis
- digital mammograms