Convolutional sparse coding-based deep random vector functional link network for distress classification of road structures.
Keisuke MaedaSho TakahashiTakahiro OgawaMiki HaseyamaPublished in: Comput. Aided Civ. Infrastructure Eng. (2019)
Keyphrases
- sparse coding
- dictionary learning
- image classification
- object category recognition
- unsupervised learning
- sparse representation
- natural images
- feature space
- image representation
- linear combination
- deep belief networks
- visual words
- generative model
- feature extraction
- machine learning
- bag of words
- pattern recognition
- high dimensional
- data sets
- sparse codes
- spatial pyramid matching
- scene classification
- decision trees
- object recognition
- supervised learning
- text classification
- deep learning
- image patches
- training data
- image features
- multi class
- small number
- computer vision
- feature selection
- higher order
- support vector machine
- multiscale
- spatial information
- support vector
- signal processing
- ground truth
- active learning
- model selection