Computer aided detection via asymmetric cascade of sparse hyperplane classifiers.
Jinbo BiSenthil PeriaswamyKazunori OkadaToshiro KubotaGlenn FungMarcos SalganicoffR. Bharat RaoPublished in: KDD (2006)
Keyphrases
- hyperplane
- computer aided detection
- linear classifiers
- support vector
- training samples
- decision boundary
- maximal margin
- svm classifier
- haar features
- classification procedure
- breast cancer
- ct colonography
- support vector machine
- high dimensional
- pulmonary nodules
- input space
- linear svm
- weak classifiers
- ct scans
- data points
- cad systems
- training data
- principal components
- feature space
- kernel function
- convex hull
- decision trees
- lung nodules
- support vectors
- training set
- computer aided
- logistic regression
- neural network
- classification accuracy
- naive bayes
- active learning
- pattern recognition
- low dimensional
- image classification
- dimensionality reduction
- supervised learning
- image analysis
- feature selection
- learning algorithm