Kernel Distance Measures for Time Series, Random Fields and Other Structured Data.
Srinjoy DasHrushikesh N. MhaskarAlexander CloningerPublished in: Frontiers Appl. Math. Stat. (2021)
Keyphrases
- structured data
- random fields
- distance measure
- dynamic time warping
- non stationary
- graph kernels
- reproducing kernel hilbert space
- tree kernels
- markov random field
- euclidean distance
- histogram intersection
- maximum entropy
- information extraction
- conditional random fields
- parameter estimation
- similarity measure
- kernel function
- probabilistic model
- unstructured data
- data sources
- feature space
- metadata
- kernel methods
- real valued time series
- distance function
- support vector
- marginal distributions
- edit distance
- database
- data points
- kernel machines
- xml documents
- bhattacharyya distance
- similarity search
- feature selection
- databases