Machine-Learning-Based Hotspot Detection Using Topological Classification and Critical Feature Extraction.
Yen-Ting YuGeng-He LinIris Hui-Ru JiangCharles C. ChiangPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2015)
Keyphrases
- machine learning
- feature extraction
- feature extraction and classification
- pattern recognition
- feature selection
- machine learning methods
- decision trees
- pattern classification
- machine learning algorithms
- image classification
- support vector machine
- feature vectors
- support vector machine svm
- feature space
- extracted features
- image processing
- text classification
- feature set
- image feature extraction
- classification method
- supervised classification
- preprocessing
- feature representation
- model selection
- classification accuracy
- automatic detection
- frequency domain
- machine learning approaches
- frequency analysis
- dimension reduction
- robust detection
- discriminant analysis
- detection method
- computer vision
- unsupervised learning
- information extraction
- natural language processing
- supervised learning
- object detection
- wavelet transform
- neyman pearson
- kernel methods
- mammogram images
- fisher linear discriminant
- support vector
- training set
- supervised machine learning
- classification models
- texture classification
- texture analysis
- detection algorithm
- neural network
- detection rate
- texture features