Gaussian process image classification based on multi-layer convolution kernel function.
Lixiang XuBiao ZhouXinlu LiZhize WuYan ChenXiaofeng WangYuanyan TangPublished in: Neurocomputing (2022)
Keyphrases
- multi layer
- kernel function
- gaussian process
- image classification
- support vector
- gaussian processes
- hyperparameters
- regression model
- kernel methods
- bayesian framework
- image representation
- bag of words
- feature space
- latent variables
- feature extraction
- support vector machine
- image features
- model selection
- neural network
- semi supervised
- high dimensional
- image processing
- neural nets
- kernel learning
- multiple kernel learning
- visual words
- multi label
- sparse representation
- reproducing kernel hilbert space
- feature set
- computer vision
- prior knowledge
- artificial neural networks