Efficient Dimensionality Reduction for High-Dimensional Network Estimation.
Safiye CelikBenjamin A. LogsdonSu-In LeePublished in: ICML (2014)
Keyphrases
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensionality
- intrinsic dimensionality
- manifold learning
- high dimensional data
- feature extraction
- network structure
- data representation
- pattern recognition
- lower dimensional
- network traffic
- dimensionality reduction methods
- variable selection
- neural network
- data points
- feature selection
- high dimensional spaces
- euclidean distance
- locally linear embedding
- structure preserving
- noisy data
- similarity search
- computationally efficient
- wireless sensor networks
- feature space
- computer vision