Keyphrases
Metric Space
70%
Dimensionality Reduction
49%
Doubling Dimension
49%
Euclidean Space
32%
Intrinsic Dimension
28%
Doubling Constant
28%
General Metric Spaces
27%
Support Vector Machine
24%
Traveling Salesman Problem
23%
Generalization Bounds
23%
Doubling Spaces
22%
Polynomial-time Approximation Scheme
22%
Approximate Nearest Neighbor Search
21%
Low Dimensionality
21%
Target Dimension
21%
Optimal Sample
21%
Sample Compression
21%
Nearly Optimal
21%
Lipschitz Extension
21%
Nearest Neighbor
21%
Label Size
18%
Update Time
18%
Proximity Algorithm
14%
Matrix Sparsification
14%
Distance Labeling
14%
Space Problem
14%
Null Space
14%
Nonlinear Methods
14%
Dimension Bounds
14%
Snowflake Metric
14%
Spanners
14%
Class Function
14%
Adaptive Metric
14%
Metric Data
14%
Efficient Classification
14%
Semi-metric
14%
Ionospheric Total Electron Content
14%
Semimetric Space
14%
Dens
14%
Time Approximation
14%
Approximation Scheme
14%
Near-optimal
14%
Cardinality
14%
Polytope
14%
Fully Dynamic
14%
Compression Algorithms
14%
Polyhedron
14%
Barycentric Coordinate System
14%
Explicit Feature Maps
14%
P-space
13%
Mathematics
Metric Space
100%
Nearest Neighbor
60%
Approximates
55%
Set Point
47%
Euclidean Space
42%
Open Problem
34%
Polynomial Time
29%
Edge
24%
Traveling Salesman Problem
23%
Lindenstrauss
21%
Cardinality
21%
Linear Time
21%
Bicriteria
14%
Null
14%
Worst Case
14%
Lp-Spaces
14%
Semimetric Space
14%
Matrix (Mathematics)
14%
Polytope
14%
Total Length
14%
Barycentric Coordinate
14%
Polyhedron
14%
Dimensionality Reduction
14%
Probability Theory
10%
Data Structure
10%
Nonuniform
10%
Regressors
10%
Linear Function
9%
piecewise linear
9%
Minimum Spanning Tree
9%
Bounded Number
7%
Orthogonal Vector
7%
Orthogonal Function
7%
Binomial Coefficient
7%
Product Space
7%
Empirical Process
7%
Error Bound
7%
L1 Space
7%
Minimization Problem
7%
Center Point
7%
Orienteering Problem
7%
Finite Metric Space
7%
Convex Polyhedron
7%
Constant Coefficient
7%
Runge-Kutta Method
7%
Neural Network
7%
Dimensional Space
7%
Preserving Property
7%
Time Discretization
7%
Lipschitz Constant
7%
Computer Science
Metric Space
77%
Neighbour Search
28%
Approximation (Algorithm)
24%
Intrinsic Dimensionality
16%
Performance Bound
14%
Compression Algorithm
14%
Sparse Approximation
14%
Coordinate System
14%
piecewise linear
14%
near neighbor classification
14%
Feature Map
14%
Performance Guarantee
14%
Linear Function
11%
Generalization Performance
10%
Neural Network
9%
Linear Classifier
8%
Fundamental Problem
7%
Preprocessing Time
7%
Single Solution
7%
Embedding Distortion
7%
Efficient Implementation
7%
Decision Boundary
7%
Data Structure
7%
Good Approximation
7%
Classical Problem
7%
Hilbert Space
7%
Classification Performance
7%
Computational Efficiency
7%
Information Storage
7%
steiner tree
7%
Lower Dimensional Space
7%
Time Approximation Scheme
7%
Computer Science
7%
routing scheme
7%
Dimensionality Reduction
7%
Multiclass Classification
7%
min-sum algorithm
7%
k-Nearest Neighbors Algorithm
7%
Convolutional Neural Network
7%
Runtime Complexity
5%
Risk Minimization
5%
Large Data Set
5%
Convex Programming
5%
Naïve Approach
5%
Sparse Representation
5%
