Confidence-Guided Data Augmentation for Improved Semi-Supervised Training

no code implementations • 16 Sep 2022 • Fadoua Khmaissia, Hichem Frigui

Finally, the generated synthetic images are used in conjunction with the original labeled images to train a new model in a semi-supervised fashion.

Data Augmentation Image Classification

A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar

no code implementations • 10 Mar 2018 • Jordan M. Malof, Daniel Reichman, Andrew Karem, Hichem Frigui, Dominic K. C. Ho, Joseph N. Wilson, Wen-Hsiung Lee, William Cummings, Leslie M. Collins

In this work we report the results of a multi-institutional effort to develop advanced buried threat detection algorithms for a real-world GPR BTD system.

GPR

Multiple Instance Fuzzy Inference Neural Networks

no code implementations • 17 Oct 2016 • Amine Ben Khalifa, Hichem Frigui

A bag is labeled negative if all of its instances are negative, and positive if at least one of its instances is positive.

Landmine Multiple Instance Learning