Combining Deep Convolutional Feature Extraction with Hyperdimensional Computing for Visual Object Recognition.
Piotr LuczakKrzysztof SlotJacek KucharskiPublished in: IJCNN (2022)
Keyphrases
- visual object recognition
- deep belief networks
- feature extraction
- deep learning
- unsupervised learning
- restricted boltzmann machine
- probabilistic model
- hierarchical models
- generative model
- sparse coding
- machine learning
- image classification
- object recognition
- pattern recognition
- approximate inference
- principal component analysis
- image processing
- feature selection
- feature vectors
- graphical models
- multiscale
- feature space
- maximum likelihood
- bayesian networks
- hierarchical structures
- face recognition
- neural network