Embeddings Based Parallel Stacked Autoencoder Approach for Dimensionality Reduction and Predictive Maintenance of Vehicles.
Vandan RevanurAyodeji AyibiowuMahmoud RahatReza KhoshkanginiPublished in: IoT Streams/ITEM@PKDD/ECML (2020)
Keyphrases
- dimensionality reduction
- low dimensional
- high dimensional data
- manifold learning
- pattern recognition
- high dimensional
- real time
- principal component analysis
- linear discriminant analysis
- data representation
- feature extraction
- principal components
- high dimensionality
- dimensionality reduction methods
- nonlinear dimensionality reduction
- data points
- pattern recognition and machine learning
- euclidean distance
- feature selection
- dimension reduction
- feature space
- parallel processing
- software maintenance
- parallel implementation
- lower dimensional
- road traffic
- support vector
- kernel pca
- multidimensional scaling
- vehicle detection
- autonomous vehicles
- graph embedding
- moving vehicles
- structure preserving
- low dimensional spaces