Deep Convolutional Neural Networks and Maximum-Likelihood Principle in Approximate Nearest Neighbor Search.
Andrey V. SavchenkoPublished in: IbPRIA (2017)
Keyphrases
- approximate nearest neighbor search
- convolutional neural networks
- maximum likelihood
- nearest neighbor
- kd tree
- convolutional network
- metric space
- hash functions
- locality sensitive hashing
- similarity search
- nearest neighbor search
- data structure
- data sets
- database
- object recognition
- feature extraction
- decision trees
- databases