Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning.
Prateek JainSudheendra VijayanarasimhanKristen GraumanPublished in: NIPS (2010)
Keyphrases
- hyperplane
- data points
- locality sensitive
- active learning
- convex hull
- normal vectors
- average distance
- support vector
- feature space
- input space
- query processing
- support vector machine
- training samples
- maximal margin
- principal components
- decision boundary
- incremental learning algorithm
- kernel function
- linearly separable
- semi supervised
- linearly independent
- linear separability
- hashing methods
- training set
- high dimensional data
- labeled data
- nearest point
- hash functions
- support vectors
- query point
- svm classifier
- unlabeled data
- nearest neighbor
- indexing techniques
- pairwise
- similarity search
- feature selection
- k nearest neighbor