Representational dissimilarity metric spaces for stochastic neural networks.
Lyndon R. DuongJingyang ZhouJosue NassarJules BermanJeroen OlieslagersAlex H. WilliamsPublished in: CoRR (2022)
Keyphrases
- metric space
- neural network
- similarity search
- euclidean space
- similarity queries
- distance function
- searching in metric spaces
- probability measures
- high dimensional
- range queries
- pattern recognition
- multidimensional index
- nearest neighbor queries
- partially ordered sets
- similarity searching
- range query processing
- stochastic model
- stochastic process
- vector space
- point sets
- dissimilarity measure
- feature selection
- learning algorithm
- multi dimensional
- feature extraction
- similarity measure
- feature space
- closed form
- training set