Sparse-coding-based household clustering for demand response services.
Shintaro IkedaHiroaki NishiPublished in: ISIE (2016)
Keyphrases
- sparse coding
- unsupervised learning
- dictionary learning
- alternating optimization
- sparse representation
- natural images
- linear combination
- image classification
- person re identification
- image representation
- generative model
- image patches
- clustering algorithm
- discriminative power
- feature space
- supervised learning
- object category recognition
- single image super resolution
- data points
- sparse codes
- information theoretic
- computer vision
- spectral clustering
- data sets
- visual words
- k means
- gaussian mixture model
- action recognition
- dimensionality reduction
- machine learning
- semi supervised
- image retrieval
- multiscale
- similarity measure
- face recognition