A comparison of autoencoder and statistical features for cattle behaviour classification.
Ashfaqur RahmanDaniel V. SmithJames HillsGreg Bishop-HurleyDavid HenryRichard RawnsleyPublished in: IJCNN (2016)
Keyphrases
- classification accuracy
- feature vectors
- feature set
- feature extraction
- feature space
- classification method
- classification models
- classification process
- benchmark datasets
- extracted features
- pattern recognition
- discriminative features
- class labels
- high dimensionality
- svm classifier
- statistical analysis
- pattern classification
- image classification
- feature representation
- support vector machine
- feature analysis
- machine learning
- statistical information
- svm classification
- features extraction
- correspondence analysis
- maximum entropy modeling
- neural network
- text classification
- feature selection
- image features
- decision trees
- data sets
- machine learning methods
- feature extraction and classification
- feature weights
- irrelevant features
- gender classification
- training data
- supervised learning
- feature selection algorithms
- low level
- extracting features
- multi class
- feature reduction
- decision tree classifiers
- automatic classification
- unsupervised learning