Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Page >> Table of Contents >> Abstract 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04) p. 420 Online Medical Teaching Case Database Susan Kansagra, ...
Susan Kansagra, Chris Chang, Saleem Hussain, Grego...
Restoring a clear image from a single motion-blurred
image due to camera shake has long been a challenging
problem in digital imaging. Existing blind deblurring techniques
eithe...
Jian-Feng Cai (National University of Singapore), ...
The task of multi-camera surveillance is to reconstruct the paths taken by all moving objects that are temporarily visible from multiple non-overlapping cameras. We present a Baye...