Probabilistic principles in unsupervised learning of visual structure: human data and a model.
Shimon EdelmanBenjamin P. HilesHwajin YangNathan IntratorPublished in: NIPS (2001)
Keyphrases
- experimental data
- unsupervised learning
- database
- probabilistic model
- network structure
- human subjects
- prior knowledge
- data points
- hierarchical structure
- input data
- data collection
- high level
- computational model
- graph representation
- test data
- probability distribution
- simulation data
- high dimensional data
- generative process
- theoretical framework
- data mining techniques
- image data
- data structure
- data sources
- xml documents
- data analysis
- statistical methods
- visual data
- complex structures
- bayesian networks
- measured data
- training data
- machine learning