What's in a Loss Function for Image Classification?
Simon KornblithHonglak LeeTing ChenMohammad NorouziPublished in: CoRR (2020)
Keyphrases
- loss function
- image classification
- bag of words
- pairwise
- support vector
- image features
- logistic regression
- empirical risk
- learning to rank
- feature extraction
- reproducing kernel hilbert space
- risk minimization
- sparse representation
- regularization term
- image representation
- multi label
- boosting framework
- boosting algorithms
- class specific
- visual words
- hinge loss
- stochastic gradient descent
- decision trees
- solution path
- svm classifier
- special case
- convex loss functions