Optimizing Body Region Classification with Deep Convolutional Activation Features.
Obioma PelkaFelix NensaChristoph M. FriedrichPublished in: ECCV Workshops (4) (2018)
Keyphrases
- classification accuracy
- feature vectors
- feature set
- feature extraction
- extracted features
- classification process
- feature space
- classification method
- svm classifier
- unsupervised feature learning
- classification models
- textural features
- benchmark datasets
- pattern classification
- support vector machine
- deep learning
- feature analysis
- class labels
- machine learning
- feature selection
- features extraction
- extracting features
- feature values
- high dimensionality
- classification algorithm
- text classification
- image features
- image classification
- support vector machine svm
- feature subset
- pattern recognition
- support vector
- feature extraction and classification
- feature weights
- low level
- training set
- deep belief networks
- feature reduction
- supervised learning
- dimensionality reduction
- gender classification
- false positives
- image regions
- discriminative features
- unsupervised learning
- decision trees