Interpolation of Head-Related Transfer Functions Using Manifold Learning.
Felipe GrijalvaLuiz Cesar MartiniDinei A. F. FlorêncioSiome GoldensteinPublished in: IEEE Signal Process. Lett. (2017)
Keyphrases
- manifold learning
- transfer function
- head pose estimation
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- diffusion maps
- subspace learning
- semi supervised
- dimension reduction
- high dimensional data
- laplacian eigenmaps
- computer vision
- neural network
- feature space
- image enhancement
- locally linear embedding
- manifold structure
- feature extraction
- real time
- manifold embedding
- latent space
- active learning
- pattern recognition
- learning algorithm
- data sets