Manifold Learning for Multivariate Variable-Length Sequences With an Application to Similarity Search.
Shen-Shyang HoPeng DaiFrank RudziczPublished in: IEEE Trans. Neural Networks Learn. Syst. (2016)
Keyphrases
- variable length
- similarity search
- manifold learning
- high dimensional
- high dimensional data
- fixed length
- low dimensional
- dimensionality reduction
- distance function
- metric space
- dimension reduction
- subspace learning
- vector space
- semi supervised
- high dimensionality
- similarity measure
- indexing techniques
- data points
- sparse representation
- n gram
- nearest neighbor
- knn
- query processing
- indexing structure
- dynamic time warping
- hash functions
- bitstream
- information retrieval
- data sets
- r tree
- multiscale
- feature extraction
- image processing
- locality sensitive hashing
- principal component analysis
- feature space