Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis.
Xiaofeng ZhuHeung-Il SukDinggang ShenPublished in: CVPR (2014)
Keyphrases
- loss function
- disease diagnosis
- feature selection
- support vector
- early diagnosis
- pairwise
- text categorization
- logistic regression
- empirical risk
- learning to rank
- boosting framework
- feature set
- support vector machine
- low rank
- comparative analysis
- risk minimization
- convex loss functions
- text classification
- machine learning
- computer aided diagnosis
- training data
- feature space
- stochastic gradient descent
- reproducing kernel hilbert space
- kernel function
- multi task
- knn
- multi class
- feature subset
- classification accuracy
- medical images
- solution path
- kernel methods
- feature extraction
- singular value decomposition
- data mining