An ensemble diversity approach to supervised binary hashing.
Miguel Á. Carreira-PerpiñánRamin RaziperchikolaeiPublished in: CoRR (2016)
Keyphrases
- hamming distance
- classifier ensemble
- gray code
- learning algorithm
- supervised learning
- locality sensitive
- unsupervised learning
- feature selection
- diversity measures
- ensemble learning
- hamming space
- ensemble members
- binary codes
- supervised classification
- semi supervised
- hash functions
- ensemble feature selection
- order preserving
- neural network
- base classifiers
- ensemble methods
- training data
- data structure
- training set
- data sets
- video copy detection
- pruning algorithm
- similarity search
- binary classifiers
- nearest neighbor search
- multi class classification
- random projections