Local Sensitive Hashing (LSH) and Convolutional Neural Networks (CNNs) for Object Recognition.
Mehdi GhayoumiMiguel GomezKate E. BaumsteinNarindra PersaudAndrew J. PerlowinPublished in: ICMLA (2018)
Keyphrases
- convolutional neural networks
- locality sensitive hashing
- object recognition
- locality sensitive
- approximate nearest neighbor search
- hash functions
- nearest neighbor search
- similarity search
- nearest neighbor
- convolutional network
- approximate nearest neighbor
- hash tables
- cellular neural networks
- brute force
- hashing methods
- approximate similarity search
- high dimensional
- metric space
- computer vision
- knn
- kd tree
- sift features
- nearest neighbor queries
- object detection
- high dimensional spaces
- space efficient
- multimedia retrieval
- hamming distance
- feature detection
- indexing techniques
- data structure
- hyperplane
- image representation
- binary codes
- image features
- scale invariant feature transform
- feature matching
- multi dimensional