A two-stage variation-aware placement method for FPGAS exploiting variation maps classification.
Zhenyu GuanJustin S. J. WongSumanta ChaudhuriGeorge A. ConstantinidesPeter Y. K. CheungPublished in: FPL (2012)
Keyphrases
- classification method
- preprocessing
- classification accuracy
- pattern recognition
- high accuracy
- clustering method
- support vector machine
- ordinal data
- accuracy rate
- classification process
- benchmark data sets
- pattern classification
- cross validation
- detection method
- training samples
- significant improvement
- support vector machine svm
- machine learning methods
- cost function
- decision rules
- classification algorithm
- text classification
- high precision
- supervised learning
- model selection
- training process
- roc curve
- classification scheme
- unsupervised learning
- objective function
- neural network