Researchers
Projects
... research, analysing the very fine body gesture clues with machine learning methods for detecting and recognizing suppressed or concealed ...
... to understand oa progression when analysed with novel machine learning based methods. the ultimate objective is to produce a data-driven ...
... things. the research focuses on mobile agent based bayesian machine learning and distributed markov chain monte carlo methods for resource usage ...
... development by modelling, artificial intelligence and machine learning improve quality by modelling, artificial intelligence, and machine ...
Other results
machine learning is a genre of artificial intelligence (ai), which uses algorithms that ... model for identifying or predicting certain conditions. machine learning algorithms can be divided into two categories. in supervised ...
... in clinical and biomedical imaging problems. we design machine learning algorithms with a special focus on deep learning to speed up and ...
... the role of manifold methods and methodologies in and for machine learning and computer vision. it will introduce the background of manifolds ...
“5g and machine learning go hand in hand,” remarks adjunct professor, academy of finland ... for wireless communications, university of oulu). “without machine learning, networks simply cannot predict. without the ability to ...