Boosting the classification performance of latent fingerprint segmentation using cascade of classifiers.
Megha ChhabraManoj Kumar ShuklaKiran Kumar RavulakolluPublished in: Intell. Decis. Technol. (2020)
Keyphrases
- boosted classifiers
- weak classifiers
- discriminative classifiers
- ensemble classifier
- feature selection
- classification systems
- weak learners
- support vector
- classification algorithm
- classification models
- classification method
- multiclass classification
- improving classification accuracy
- multiple classifier systems
- decision trees
- face detection
- majority voting
- accurate classifiers
- svm classifier
- binary classification problems
- classification rate
- supervised classification
- multi class
- machine learning methods
- randomized trees
- training set
- classification accuracy
- binary classifiers
- classifier combination
- ensemble learning
- object detection
- training samples
- feature extraction
- machine learning
- decision boundary
- ensemble classification
- support vector machine
- class labels
- machine learning algorithms
- feature set
- boosting algorithms
- classification trees
- training data
- combining classifiers
- decision stumps
- text classification
- probabilistic classifiers
- support vector machine svm
- learning algorithm
- adaboost algorithm
- image segmentation
- partially labeled data
- multiple classifiers
- individual classifiers
- medical images
- base classifiers
- feature vectors
- weighted voting
- ensemble methods
- discriminative learning
- model selection
- bayesian classifier
- loss function
- cost sensitive