Intrinsic Metrics: Nearest Neighbor and Edge Squared Distances.
Timothy ChuGary L. MillerDonald R. SheehyPublished in: CoRR (2017)
Keyphrases
- nearest neighbor
- distance function
- euclidean distance
- knn
- distance computation
- k nearest neighbor
- data points
- nearest neighbor search
- high dimensional data
- high dimensional
- edge detection
- minimum distance
- edge information
- high dimensional spaces
- least squares
- training set
- query point
- distance measure
- image processing
- locality sensitive hashing
- nearest neighbor algorithm
- hamming distance
- neural network
- edge detector
- image quality
- dimensionality reduction
- weighted graph
- edge map
- quality metrics
- multiple scales
- hausdorff distance
- similarity metrics
- index structure
- nearest neighbor classifier
- data structure
- similarity measure
- data sets
- maximum distance