Kernel Change-point Detection with Auxiliary Deep Generative Models.
Wei-Cheng ChangChun-Liang LiYiming YangBarnabás PóczosPublished in: ICLR (Poster) (2019)
Keyphrases
- generative model
- change point detection
- change point
- fisher kernel
- non stationary
- probabilistic model
- outlier detection
- bayesian framework
- discriminative learning
- deep belief networks
- normalized maximum likelihood
- sequential data
- kernel function
- discriminative models
- em algorithm
- semi supervised
- kernel methods
- feature space
- prior knowledge
- hierarchical hidden markov models
- deep learning
- object categories
- semi supervised learning
- expectation maximization
- hidden markov models
- support vector
- computer vision