Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections.
Moacir A. PontiGabriel B. Paranhos da CostaFernando Pereira dos SantosKaue U. SilveiraPublished in: Appl. Soft Comput. (2019)
Keyphrases
- deep learning
- unsupervised feature learning
- image collections
- unsupervised learning
- weakly supervised
- restricted boltzmann machine
- semi supervised
- supervised learning
- deep architectures
- deep belief networks
- feature vectors
- feature set
- higher order
- machine learning
- image set
- image content
- feature extraction
- information retrieval
- data sets
- image annotation
- model selection
- low level
- image understanding
- image features
- learning algorithm