Search Results for author:
Found 4 papers, 0 papers with code
Structured sparse coding via lateral inhibition
This work describes a conceptually simple method for structured sparse coding and dictionary design.
Regularized estimation of image statistics by Score Matching
Score Matching is a recently-proposed criterion for training high-dimensional density models for which maximum likelihood training is intractable.
Learning Convolutional Feature Hierarchies for Visual Recognition
We propose an unsupervised method for learning multi-stage hierarchies of sparse convolutional features.
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the raw input.
