Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks.
Sebastian BruchMasrour ZoghiMichael BenderskyMarc NajorkPublished in: SIGIR (2019)
Keyphrases
- neural network
- global optimization
- optimization process
- optimization algorithm
- discrete optimization
- optimization problems
- metric space
- back propagation
- highly non linear
- pattern recognition
- artificial neural networks
- fault diagnosis
- constrained optimization
- machine learning
- feed forward
- neural nets
- nearest neighbor searching
- optimization method
- distance metric
- query optimization
- distance measure
- least squares
- query processing