Geometric Data Analysis Based on Manifold Learning with Applications for Image Understanding.
Gastão Florêncio Miranda Jr.Carlos Eduardo ThomazGilson Antonio GiraldiPublished in: SIBGRAPI Tutorials (2017)
Keyphrases
- image understanding
- manifold learning
- data analysis
- high dimensional data
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- diffusion maps
- computer vision
- semi supervised
- subspace learning
- dimension reduction
- high dimensional
- object recognition
- image annotation
- object detection
- feature extraction
- geodesic distance
- head pose estimation
- laplacian eigenmaps
- geometric structure
- data mining
- locality preserving
- manifold learning algorithm
- image analysis
- image segmentation
- sparse representation
- image processing
- nearest neighbor
- manifold structure
- cluster analysis
- data sets
- pattern recognition
- riemannian manifolds
- preprocessing
- training data
- feature vectors
- low dimensional manifolds
- signal processing
- feature selection
- high dimensionality
- discriminant projection