Scalable Community Identification with Manifold Learning on Speaker I-Vector Space.
Hongcui WangShanshan LiuDi JinLantian LiJianwu DangPublished in: IEICE Trans. Inf. Syst. (2019)
Keyphrases
- vector space
- manifold learning
- low dimensional
- high dimensional
- dimensionality reduction
- high dimensional data
- nonlinear dimensionality reduction
- euclidean space
- dimension reduction
- data points
- latent semantic indexing
- feature vectors
- similarity search
- intrinsic dimensionality
- principal component analysis
- feature extraction
- feature space
- riemannian manifolds
- vector space model
- geodesic distance
- semi supervised
- laplacian eigenmaps
- metric space
- linear discriminant analysis
- distance measure
- sparse representation
- covariance matrices
- least squares
- pattern recognition