Locality sensitive batch feature extraction for high-dimensional data.
Jie DingChangyun WenGuoqi LiChin-Seng ChuaPublished in: Neurocomputing (2016)
Keyphrases
- high dimensional data
- locality sensitive
- high dimensional
- feature extraction
- dimensionality reduction
- high dimensional spaces
- linear discriminant analysis
- low dimensional
- locality sensitive hashing
- manifold learning
- nearest neighbor
- hyperplane
- similarity search
- hash functions
- feature space
- high dimensionality
- data points
- input space
- data distribution
- principal component analysis
- feature vectors
- data sets
- preprocessing
- multi dimensional
- image classification
- data analysis
- binary codes
- pattern recognition
- feature selection
- sparse representation
- nearest neighbor search
- image processing
- support vector machine svm
- metric space
- dimensional data
- face recognition
- kernel function
- training samples
- similarity measure
- training data
- training set
- computer vision