Browse Dept. of Computer Science by Subject "object recognition"
Now showing items 1-3 of 3
(2004-11)This thesis introduces a novel representation for three-dimensional (3D) objects in terms of local affine-invariant descriptors of their appearance and the spatial relationships between the corresponding affine regions. ...
(2012-02-06)Recognition is a deep and fundamental question in computer vision. If approached correctly, object recognition provides insight to several interesting problems with crucial applications. In a typical setting, recognition ...
Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision (2012-02-06)The mission of machine learning is to empower computers to make generalizations from available data: labeled and unlabeled. The more labeled data we have the better predictions we’ll make, but labeled data usually comes ...