Handcrafted vs. non-handcrafted features for computer vision classification.
Loris NanniStefano GhidoniSheryl BrahnamPublished in: Pattern Recognit. (2017)
Keyphrases
- computer vision
- feature vectors
- classification method
- classification accuracy
- feature extraction
- pattern recognition
- extracting features
- classification models
- feature space
- feature set
- extracted features
- image features
- classification process
- svm classifier
- feature values
- gender classification
- decision trees
- machine learning
- feature analysis
- feature representation
- svm classification
- feature reduction
- computer graphics
- class labels
- feature selection
- text classification
- image processing
- image classification
- support vector machine svm
- feature weights
- classification scheme
- support vector machine
- irrelevant features
- benchmark datasets
- image analysis
- feature extraction and classification
- hand crafted
- features extraction
- object recognition
- classification rate
- feature selection algorithms
- classification algorithm
- structural features
- training set
- weak classifiers
- support vector
- face recognition
- gabor filters
- textural features
- image understanding
- neural network
- decision tree classifiers
- machine learning algorithms