A Powerful Generative Model Using Random Weights for the Deep Image Representation.
Kun HeYan WangJohn E. HopcroftPublished in: NIPS (2016)
Keyphrases
- image representation
- generative model
- feature representations
- multiscale
- probabilistic model
- bag of words
- image classification
- sparse coding
- image features
- image retrieval
- object recognition
- mixture model
- bayesian framework
- semi supervised
- image content
- em algorithm
- sparse representation
- object categories
- scene recognition
- prior knowledge
- low level features
- visual words
- latent dirichlet allocation
- topic models
- linear combination
- visual content
- feature space
- expectation maximization
- active learning
- feature vectors