One example may be Class-agnostic object tracking. It is a challenging problem specially in cluttered environment because it is very difficult to learn a target specific discriminative model a priori. In the real life case, human visual cortex can do this task (where and what is the object) effectively by dynamically overwhelm inappropriate visual features. But computer, how? We can develop a Machine/deep learning model to solve this type of problem.
Supervisor: Sandeep Singh Sengar, firstname.lastname@example.org
About the Section of Machine Learning
The activities in the section range from research into the theoretical foundations of machine learning to applications within a broad set of domains, including remote sensing, information retrieval, medical image analysis and modelling of biological data.
The research section is divided into four areas:
- Machine Learning Theory
- Medical Imaging
- Information Retrieval
- Machine Learning in Biology
Read more here: https://di.ku.dk/english/research/machine-learning/