Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning.
Sudheendra VijayanarasimhanPrateek JainKristen GraumanPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2014)
Keyphrases
- hyperplane
- data points
- locality sensitive
- active learning
- convex hull
- average distance
- normal vectors
- feature space
- decision boundary
- support vector
- input space
- training samples
- support vector machine
- query processing
- query point
- kernel function
- unlabeled data
- labeled data
- maximal margin
- linearly separable
- linear separability
- training set
- incremental learning algorithm
- hash functions
- linearly independent
- principal components
- svm classifier
- machine learning
- semi supervised
- hashing methods
- relevance feedback
- nearest neighbor
- support vectors
- semi supervised learning
- high dimensional data
- range queries
- image classification
- dimensionality reduction
- low dimensional
- high dimensional
- pattern recognition
- principal direction
- training data
- data mining