Dimensionality reduction using deep belief network in big data case study: Hyperspectral image classification.
Dewa Made Sri ArsaGrafika JatiAprinaldi Jasa MantauIto WasitoPublished in: IWBIS (2016)
Keyphrases
- big data
- hyperspectral image classification
- dimensionality reduction
- case study
- deep belief networks
- unsupervised learning
- hyperspectral
- hyperspectral images
- active learning
- business intelligence
- high dimensional
- data processing
- deep learning
- data management
- data analysis
- cloud computing
- high dimensional data
- low dimensional
- data points
- feature selection
- principal component analysis
- feature extraction
- pattern recognition
- social media
- restricted boltzmann machine
- probabilistic model
- knowledge discovery
- big data analytics
- hierarchical models
- machine learning
- sparse representation
- sparse coding
- remote sensing
- data warehousing
- principal components
- random projections
- information retrieval
- computer vision
- real world
- multispectral
- infrared
- feature space
- database
- data warehouse
- knowledge management
- object oriented