Shared Deep Kernel Learning for Dimensionality Reduction.
Xinwei JiangJunbin GaoXiaobo LiuZhihua CaiDongmei ZhangYuanxing LiuPublished in: PAKDD (3) (2018)
Keyphrases
- kernel learning
- dimensionality reduction
- kernel function
- multiple kernel learning
- kernel matrix
- support vector regression
- semi supervised
- kernel methods
- kernel trick
- principal component analysis
- high dimensional data
- pairwise constraints
- high dimensional
- feature extraction
- distance metric
- low dimensional
- learning tasks
- data points
- pattern recognition
- linear combination
- text classification
- data sets
- similarity search
- euclidean distance
- data representation
- multi task learning
- feature space
- feature selection