HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model.
Masatoshi NaganoTomoaki NakamuraTakayuki NagaiDaichi MochihashiIchiro KobayashiWataru TakanoPublished in: Frontiers Robotics AI (2019)
Keyphrases
- generative model
- unsupervised segmentation
- high dimensional time series
- probabilistic model
- segmentation algorithm
- image segmentation
- textured images
- mixture model
- bayesian framework
- prior knowledge
- em algorithm
- conditional random fields
- expectation maximization
- texture descriptors
- semi supervised
- data sets
- markov random field
- higher order
- low level
- image analysis
- change point detection
- image processing