Rethinking Feature Distribution for Loss Functions in Image Classification.
Weitao WanYuanyi ZhongTianpeng LiJiansheng ChenPublished in: CVPR (2018)
Keyphrases
- loss function
- image classification
- image features
- pairwise
- learning to rank
- support vector
- loss minimization
- squared error
- logistic regression
- feature extraction
- hinge loss
- feature vectors
- graphical models
- feature set
- probability distribution
- multi label
- class specific
- reproducing kernel hilbert space
- bayesian networks
- decision trees
- convex loss functions