LWIR and MWIR images dimension reduction and anomaly detection with locally linear embedding.
Ayse Siddika AydogduPoyraz Umut HatipogluLevent OzparlakSeniha Esen YükselPublished in: SIU (2015)
Keyphrases
- anomaly detection
- dimension reduction
- manifold learning
- low dimensional
- high dimensional data
- principal component analysis
- locally linear embedding
- high dimensional
- dimensionality reduction
- image data
- principal components
- feature extraction
- principle component analysis
- input image
- image classification
- singular value decomposition
- manifold learning algorithm
- unsupervised learning
- high dimensionality
- random projections
- feature space
- data sets
- supervised learning
- nearest neighbor
- preprocessing
- data analysis
- object recognition
- feature selection