Deep Saliency Models : The Quest For The Loss Function.
Alexandre BruckertHamed R. TavakoliZhi LiuMarc ChristieOlivier Le MeurPublished in: CoRR (2019)
Keyphrases
- loss function
- support vector
- pairwise
- learning to rank
- empirical risk
- risk minimization
- regularization term
- reproducing kernel hilbert space
- logistic regression
- gradient boosting
- stochastic gradient descent
- boosting framework
- boosting algorithms
- information retrieval
- training samples
- distance measure
- hinge loss
- multi class