Learning Convolutional Feature Hierarchies for Visual Recognition.
Koray KavukcuogluPierre SermanetY-Lan BoureauKarol GregorMichaël MathieuYann LeCunPublished in: NIPS (2010)
Keyphrases
- visual recognition
- feature hierarchies
- image classification
- object classification
- object recognition
- prior knowledge
- visual categorization
- unsupervised learning
- learning algorithm
- deep belief networks
- deep learning
- supervised learning
- small number
- machine learning
- markov random field
- text classification
- graph cuts
- active learning
- training data
- image segmentation
- computer vision