MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings.
Ali VarameshTinne TuytelaarsPublished in: CoRR (2020)
Keyphrases
- image classification
- expectation maximization
- finite mixture model
- mixture model
- unsupervised learning
- em algorithm
- feature extraction
- gaussian mixture model
- gaussian mixture
- density estimation
- gaussian distribution
- visual features
- maximum likelihood
- bag of words
- low dimensional
- image representation
- semi supervised
- probabilistic model
- visual words
- maximum likelihood estimation
- gaussian densities
- unsupervised manner
- dimensionality reduction
- image features
- generative model
- data driven
- sparse coding
- manifold learning
- supervised learning
- multi label
- sparse representation
- mixture of gaussians
- neural network
- machine learning
- image processing
- exponential family
- object recognition
- k means
- euclidean space
- bayesian framework