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Found 5 papers, 0 papers with code
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization
Moreover, given a real-time constraint of one minute, the NIE-based method can solve IBM problems with up to hundreds of thousands of nodes, which is at least one order of magnitude larger than what can be solved by existing methods.
A New Knowledge Gradient-based Method for Constrained Bayesian Optimization
An unbiased estimator of the gradient of the new acquisition function is derived to implement the $c-\rm{KG}$ approach.
Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation
The proposed grasping detection network specially provides a prediction uncertainty estimation mechanism by leveraging on Feature Pyramid Network (FPN), and the mean-teacher semi-supervised learning utilizes such uncertainty information to emphasizing the consistency loss only for those unlabelled data with high confidence, which we referred it as the confidence-driven mean teacher.
A Biologically Plausible Audio-Visual Integration Model for Continual Learning
Furthermore, we define a new continual learning paradigm to simulate the possible continual learning process in the human brain.
Image classification based on support vector machine and the fusion of complementary features
Image Classification based on BOW (Bag-of-words) has broad application prospect in pattern recognition field but the shortcomings are existed because of single feature and low classification accuracy.
