Kernel Change-point Detection with Auxiliary Deep Generative Models.
Wei-Cheng ChangChun-Liang LiYiming YangBarnabás PóczosPublished in: CoRR (2019)
Keyphrases
- generative model
- change point detection
- change point
- fisher kernel
- non stationary
- outlier detection
- probabilistic model
- normalized maximum likelihood
- sequential data
- discriminative learning
- deep belief networks
- kernel function
- bayesian framework
- em algorithm
- prior knowledge
- kernel methods
- discriminative models
- conditional random fields
- semi supervised
- support vector
- generative and discriminative models
- hierarchical hidden markov models
- object categories
- hidden markov models
- deep learning
- learning tasks
- high dimensional
- data streams
- image segmentation
- computer vision