Learning a mixture of sparse distance metrics for classification and dimensionality reduction.
Yi HongQuannan LiJiayan JiangZhuowen TuPublished in: ICCV (2011)
Keyphrases
- distance metric learning
- metric learning
- distance metric
- kernel learning
- dimensionality reduction
- supervised learning
- feature extraction
- dictionary learning
- support vector
- learning tasks
- learning algorithm
- learning process
- support vector machine
- knn classification
- nearest neighbor classification
- sparse representation
- unsupervised learning
- text classification
- pattern recognition
- feature space
- high dimensional
- decision trees
- gender classification
- distance function
- learning problems
- neural network
- nearest neighbor
- machine learning
- label information
- training set
- data representation
- dimension reduction
- feature vectors
- euclidean distance
- active learning
- high dimensional data
- training samples
- semi supervised
- k nearest neighbor
- data sets
- image classification