An unsupervised auditory scene analysis system using incremental low-dimensional embedding.
Kenta ShinzatoRyosuke KojimaPublished in: SII (2021)
Keyphrases
- scene analysis
- low dimensional
- nonlinear dimensionality reduction
- graph embedding
- embedding space
- vector space
- multidimensional scaling
- high dimensional
- nonlinear manifold learning
- manifold learning
- latent space
- dimensionality reduction
- low dimensional spaces
- semi supervised
- data driven
- pairwise distances
- high dimensional data
- laplacian eigenmaps
- euclidean space
- principal component analysis
- computer vision
- signal processing
- low dimensional structure
- incremental learning
- data points
- unsupervised learning
- input space
- subspace learning
- visual information
- video sequences
- unsupervised manner
- lower dimensional
- gaussian process latent variable models
- linear dimensionality reduction
- color image processing
- hamming space
- supervised learning
- locally linear embedding
- manifold structure
- cross modal
- video data
- kernel pca
- multimedia
- similarity search
- data sets
- euclidean distance