Music Document Layout Analysis through Machine Learning and Human Feedback.
Jorge Calvo-ZaragozaKe ZhangZeyad SalehGabriel VigliensoniIchiro FujinagaPublished in: GREC@ICDAR (2017)
Keyphrases
- machine learning
- document collections
- information retrieval systems
- human behavior
- human learning
- pattern recognition
- human operators
- machine learning approaches
- learning systems
- natural language processing
- data mining
- document clustering
- knowledge acquisition
- document classification
- decision trees
- human users
- structured documents
- user feedback
- music information retrieval
- user engagement
- database
- human subjects
- behavioural cloning
- machine learning methods
- document images
- user queries
- model selection
- text mining
- knowledge discovery
- information retrieval
- document retrieval
- artificial intelligence
- music recommendation
- computer vision
- human centered
- feature selection
- digital libraries
- supervised learning
- human interaction
- text classification
- web documents
- inductive logic programming