Explicit Embeddings for Nearest Neighbor Search with Mercer Kernels.
Anthony BourrierFlorent PerronninRémi GribonvalPatrick PérezHervé JégouPublished in: J. Math. Imaging Vis. (2015)
Keyphrases
- nearest neighbor search
- mercer kernels
- feature space
- nearest neighbor
- high dimensional
- similarity search
- low dimensional
- gaussian kernels
- exhaustive search
- dimensionality reduction
- decision boundary
- learning algorithm
- cost model
- image retrieval
- vector space
- index structure
- high dimensional data
- search methods
- knn
- kernel methods
- classification accuracy
- feature selection
- metric space
- manifold learning
- euclidean space
- pattern recognition
- binary codes
- feature extraction
- support vector machine
- training data
- neural network
- hash functions
- road network
- evolutionary algorithm
- input data
- distance measure
- multi dimensional