Neural Decoding with Kernel-Based Metric Learning.
Austin J. BrockmeierJohn S. ChoiEvan G. KrimingerJoseph T. FrancisJosé C. PríncipePublished in: Neural Comput. (2014)
Keyphrases
- metric learning
- nonlinear kernel
- distance metric learning
- distance metric
- pairwise
- dimensionality reduction
- machine learning and pattern recognition
- learning tasks
- semi supervised
- neural network
- kernel matrix
- multi task
- nearest neighbor classification
- distance function
- kernel methods
- semi supervised clustering
- mahalanobis metric
- feature space
- support vector machine
- semi definite programming
- kernel pca
- maximum variance unfolding
- semi supervised learning
- support vector
- data sets
- subject to linear constraints
- learning algorithm
- image processing
- computer vision
- learning scheme
- decision trees
- high dimensional
- nearest neighbor