Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders.
Francisco Jesús Martínez-MurciaAndrés OrtizJuan Manuel GórrizJavier RamírezDiego Castillo-BarnesPublished in: IEEE J. Biomed. Health Informatics (2020)
Keyphrases
- deep learning
- manifold structure
- deep belief networks
- restricted boltzmann machine
- sparse coding
- unsupervised learning
- semi supervised learning
- manifold learning
- low dimensional
- data points
- dimensionality reduction
- unsupervised feature learning
- natural images
- sparse representation
- denoising
- machine learning
- mental models
- semi supervised
- image classification
- linear combination
- weakly supervised
- high dimensional
- data sets
- generative model
- image representation
- high dimensional data
- object detection
- probabilistic model
- feature space
- bayesian networks
- learning algorithm