Supervised image classification based on adaboost with contextual weak classifiers.
Ryuei NishiiShinto EguchiPublished in: IGARSS (2004)
Keyphrases
- weak classifiers
- image classification
- strong classifier
- adaboost algorithm
- multi view face detection
- linear combination
- bag of words
- training set
- boosting algorithms
- training samples
- supervised learning
- image representation
- semi supervised
- classification error
- image features
- mean shift
- feature extraction
- haar like features
- multi label
- weak learners
- binary classification problems
- face detector
- visual words
- image patches
- learning algorithm
- object class
- data sets
- sparse representation
- multi class problems
- face detection
- object detection
- high dimensional
- training data
- machine learning
- feature selection
- computer vision