As no plan can cover all possible contingencies, the ability to detect failures during plan execution is crucial to the robustness of any autonomous system operating in a dynamic ...
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Intrusions impose tremendous threats to today’s computer hosts. Intrusions using security breaches to achieve unauthorized access or misuse of critical information can have cata...
Chuan Feng, Jianfeng Peng, Haiyan Qiao, Jerzy W. R...
The contextual relationships among different semantic concepts provide important information for automatic concept detection in images/videos. We propose a new context-based conce...