Distance Metric Learnt Kernel based SVMs for Semi-Supervised Pattern Classification.
B. S. Shajee MohanC. Chandra SekharPublished in: ICAPR (2017)
Keyphrases
- pattern classification
- distance metric
- semi supervised
- support vector
- maximum margin
- distance metric learning
- decision boundary
- pairwise constraints
- metric learning
- kernel methods
- support vector machine
- label information
- semi supervised learning
- kernel trick
- multiple kernel
- svm classifier
- multiple kernel learning
- euclidean distance
- labeled data
- kernel function
- pairwise
- feature extraction
- unlabeled data
- distance function
- multi class
- pattern recognition
- distance measure
- supervised learning
- binary classification
- feature selection
- active learning
- manifold learning
- support vectors
- data points
- unsupervised learning
- low rank
- machine learning
- support vector machine svm
- subspace learning
- image processing
- k nearest neighbor
- kernel matrix
- hyperplane
- knn
- training set
- feature vectors
- training data
- kernel learning
- similarity search
- computer vision