Feature selection for content-based, time-varying musical emotion regression.
Erik M. SchmidtDouglas TurnbullYoungmoo E. KimPublished in: Multimedia Information Retrieval (2010)
Keyphrases
- feature selection
- supervised feature selection
- support vector machines for classification
- support vector
- model selection
- regression model
- image retrieval
- regression problems
- text categorization
- unsupervised learning
- mutual information
- text classification
- music information retrieval
- feature set
- feature space
- feature selection algorithms
- music genre classification
- machine learning
- linear regression
- irrelevant features
- facial expressions
- dimension reduction
- high dimensionality
- information gain
- emotional state
- knn
- feature weighting
- discriminative features
- partial least squares
- genre classification
- support vector machine
- audio content
- music composition
- feature subset
- regression function
- feature ranking
- regression analysis
- support vector regression
- least squares
- artificial neural networks
- multimedia
- learning algorithm