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Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/MedIMProjectsThe people involved are Dr Andrew Gee, Prof Richard Prager and Dr Graham Treece. ... It is funded by the HEFCE SRIF2 programme. The people involved are Dr Richard Prager, Dr Graham Treece and Dr Andrew Gee. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/RCVideo segmentation and label propagation. Action recognition with canonical correlations. Detection of people in crowds. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/MiMembersPeople in the MI Lab. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_4YP_14_2We usually also have a non-fractured femur (people don't generally facture both sides!) which is often extremely similar, other than not being fractured. ... Hip fracture is a major issue affecting millions of people annually. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/RC_ResearchVideo segmentation and label propagation. Action recognition with canonical correlations. Detection of people in crowds. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/ProjectContributorProjectContributor lists the people involved. Related topics:Machine Intelligence Laboratory. 2023 University of Cambridge Department of Engineering, Trumpington Street, Cambridge, CB2 1PZ. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_4YP_14_1Hip fracture is a major issue affecting millions of people annually. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_4YP_18_1Bone fracture is a major issue affecting millions of people annually, and we have recently been involved in research which has the potential to contribute significantly to both our understanding of -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_4YP_17_1Bone fracture is a major issue affecting millions of people annually, and we have recently been involved in research which has the potential to contribute significantly to both our understanding of -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_4YP_20_3There are a variety of bone diseases which affect many people, and we have recently been involved in research which has the potential to contribute significantly to the accurate detection of
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