Polyhedral Conic Classifiers for Visual Object Detection and Classification.
Hakan CevikalpBill TriggsPublished in: CVPR (2017)
Keyphrases
- object detection
- support vector
- classification systems
- classification rate
- classification method
- classification algorithm
- object classification
- decision trees
- supervised classification
- class labels
- classification models
- feature selection
- boosted classifiers
- svm classifier
- multiple classifiers
- classification procedure
- optimum path forest
- multi category
- rule based classifier
- support vector machine svm
- training set
- machine learning methods
- classification accuracy
- k nearest neighbour
- machine learning algorithms
- probabilistic classifiers
- classification decisions
- naive bayes
- decision boundary
- binary classifiers
- nearest neighbor classifier
- pattern recognition
- individual classifiers
- accurate classification
- multiclass classification
- training samples
- classification process
- text classification
- discriminative classifiers
- discriminant functions
- feature space
- correctly classified
- decision tree classifiers
- feature set
- classifier combination
- improves the classification accuracy
- accurate classifiers
- supervised learning
- associative classifiers
- higher classification accuracy
- support vector machine
- computer vision
- nearest neighbour
- machine learning
- visual features
- training data
- linear classifiers
- feature vectors
- ensemble classifier