Transfer Learning by Supervised Pre-training for Audio-based Music Classification.
Aäron van den OordSander DielemanBenjamin SchrauwenPublished in: ISMIR (2014)
Keyphrases
- transfer learning
- supervised learning
- label information
- machine learning
- restricted boltzmann machine
- labeled data
- text classification
- learning tasks
- semi supervised learning
- training samples
- unsupervised learning
- learning algorithm
- training set
- active learning
- machine learning algorithms
- feature selection
- semi supervised
- knowledge transfer
- speech music discrimination
- reinforcement learning
- cross domain learning
- training and test data
- cross domain
- manifold alignment
- domain adaptation
- audio signals
- decision trees
- unlabeled data
- cross domain text classification
- automatic music genre classification
- feature space
- data sets
- feature set
- text mining
- target domain
- multi task learning
- feature vectors
- model selection
- data mining
- multimedia
- audio features
- support vector machine
- music information retrieval
- audio signal
- co training
- learning environment
- training data
- transfer knowledge
- feature extraction
- multi task
- information retrieval
- learning problems
- text categorization