Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach.
Ricardo Marcondes MarcaciniMarcos Aurélio DominguesEduardo R. HruschkaSolange Oliveira RezendePublished in: ICPR (2014)
Keyphrases
- metric learning
- hierarchical document clustering
- privileged information
- k nearest neighbor
- knn
- support vector machine
- distance function
- histogram intersection kernel
- distance metric learning
- distance metric
- semi supervised
- machine learning and pattern recognition
- dimensionality reduction
- nearest neighbor
- learning tasks
- feature space
- person re identification
- nearest neighbor classification
- pairwise
- semi supervised clustering
- multi task
- mahalanobis metric
- feature selection
- semi supervised learning
- euclidean distance
- text categorization
- semi definite programming
- multi class
- support vector
- machine learning
- distance measure
- principal component analysis
- feature extraction
- decision trees