Dimensionality Reduction for Image Features using Deep Learning and Autoencoders.
Stefan PetscharnigMathias LuxSavvas A. ChatzichristofisPublished in: CBMI (2017)
Keyphrases
- deep learning
- dimensionality reduction
- image features
- unsupervised learning
- restricted boltzmann machine
- deep belief networks
- denoising
- high dimensional
- principal component analysis
- pattern recognition
- unsupervised feature learning
- machine learning
- feature space
- feature extraction
- image classification
- object recognition
- computer vision
- feature selection
- feature vectors
- data points
- image content
- weakly supervised
- keypoints
- deep architectures
- image representation
- mental models
- object categories
- training examples
- face recognition
- neural network