Structured Machine Learning for Mapping Natural Language to Spatial Ontologies KU Leuven
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State of the art computer vision systems are fundamentally reliant on statistical learning to optimize performance on a specific application. Currently, statistical frameworks in computer vision are typically based on classification and regression, probabilistic graphical models, or discriminative structured prediction frameworks such as the Structured Output Support Vector Machine (SOSVM). Although some of the best performing computer vision ...
State of the art computer vision systems are fundamentally reliant on statistical learning to optimize performance on a specific application. Currently, statistical frameworks in computer vision are typically based on classification and regression, probabilistic graphical models, or discriminative structured prediction frameworks such as the Structured Output Support Vector Machine (SOSVM). Although some of the best performing ...
The identification of crack in plate structures is a critical element in the management of maintenance and quality assurance processes in mechanical and civil engineering constructions. Non-Destructive Testing (NDT) techniques based on a wide range of physical principles have been developed and are used in common practice for Structural Health Monitoring (SHM). Furthermore, NDT techniques are usually limited in their ability to predict the ...
Advances in the fields of biomedical sensors, wearables and medical implants, in combination with state-of-the-art algorithms from signal processing, machine learning and artificial intelligence, are transforming the healthcare landscape. Systems built around these technologies enable remote health monitoring, improve patient care, detect life-threatening conditions or even predict health events. Yet the full integration of such technologies ...