Unsupervised Learning of Sparse Features for Scalable Audio Classification.
Mikael HenaffKevin JarrettKoray KavukcuogluYann LeCunPublished in: ISMIR (2011)
Keyphrases
- unsupervised learning
- feature vectors
- feature extraction
- classification accuracy
- classification models
- classification method
- supervised learning
- classification process
- svm classifier
- feature space
- feature set
- high dimensionality
- class labels
- feature analysis
- support vector
- benchmark datasets
- extracting features
- support vector machine svm
- feature selection
- sparse coding
- classification scheme
- feature values
- machine learning
- pattern recognition
- text classification
- spatially localized
- genre classification
- multimedia
- decision trees
- training data
- eeg signals
- model selection
- high dimensional
- support vector machine
- image features
- feature subset
- false positives
- semi supervised
- acoustic signals
- mel frequency cepstral coefficients
- signal processing
- spectral features
- audio features
- deep learning
- classification algorithm
- dictionary learning
- feature selection algorithms
- audio visual
- training set