Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis.
Vanika SinghalAnupriya GognaAngshul MajumdarPublished in: ICONIP (4) (2016)
Keyphrases
- deep belief networks
- dictionary learning
- sparse coding
- restricted boltzmann machine
- sparse representation
- deep learning
- unsupervised learning
- natural images
- image classification
- linear combination
- generative model
- image representation
- conditional random fields
- visual words
- learning algorithm
- high dimensional
- machine learning
- image patches
- probabilistic graphical models
- higher order
- feature space
- probabilistic model
- feature vectors
- dimensionality reduction
- mental models
- pairwise
- face recognition