Solving the Problem of Texture Images Classification Using Synchronous Distributed Deep Learning on Desktop Grid Systems.
Ilya I. KurochkinIlya S. KostylevPublished in: RuSCDays (2020)
Keyphrases
- deep learning
- grid systems
- texture images
- unsupervised learning
- resource sharing
- pattern recognition
- texture analysis
- machine learning
- support vector
- texture classification
- grid computing
- gray level
- classification accuracy
- distributed query processing
- distributed systems
- decision trees
- feature extraction
- co occurrence
- feature vectors
- feature space
- gabor filters
- computational grids
- heterogeneous systems
- distributed architecture
- training data
- weakly supervised
- feature selection
- agent technology
- resource management
- texture features
- data warehouse
- multi class
- knn
- moving objects
- training set