A Bayesian Approach to Visual Size Classification of Everyday Objects.
Troy Lee McDanielKanav KaholSethuraman PanchanathanPublished in: ICPR (2) (2006)
Keyphrases
- everyday objects
- classification accuracy
- decision trees
- pattern recognition
- machine learning
- support vector
- feature selection
- classification algorithm
- image classification
- feature extraction
- training set
- classification models
- visual information
- computational complexity
- machine learning algorithms
- supervised learning
- support vector machine
- feature vectors
- feature set
- feature space
- visual features
- low cost
- class labels
- software engineering
- pattern classification
- classification scheme