Bayesian Interpretation of a Distance Function for Navigating High-Dimensional Descriptor Spaces.
Martin VogtJeffrey W. GoddenJürgen BajorathPublished in: J. Chem. Inf. Model. (2007)
Keyphrases
- distance function
- similarity search
- high dimensional
- nearest neighbor
- metric space
- image descriptors
- data points
- knn
- high dimensional data
- distance metric
- euclidean distance
- highly discriminative
- low dimensional
- discrete data
- distance measure
- edit distance
- nearest neighbor classification
- triangle inequality
- similarity function
- nearest neighbor search
- feature space
- feature extraction
- bayesian inference
- support vector machine
- metric learning
- maximum likelihood
- r tree
- similarity measure
- dimensionality reduction
- k nearest neighbor
- feature weights
- query point
- neural network
- computer vision
- feature descriptors
- decision trees
- image retrieval
- index structure