ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation.
Chathurika S. WickramasingheDaniel L. MarinoMilos ManicPublished in: IEEE Access (2021)
Keyphrases
- high dimensional data
- high dimensional
- low dimensional
- dimensionality reduction
- unsupervised feature learning
- nearest neighbor
- subspace clustering
- data analysis
- data points
- deep learning
- denoising
- similarity search
- high dimensionality
- probabilistic model
- clustering high dimensional data
- data sets
- learning algorithm
- dimension reduction
- high dimensions
- machine learning
- data mining
- pattern recognition