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IJCV
2007
196views more  IJCV 2007»
15 years 6 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
MSR
2011
ACM
14 years 9 months ago
Modeling the evolution of topics in source code histories
Studying the evolution of topics (collections of co-occurring words) in a software project is an emerging technique to automatically shed light on how the project is changing over...
Stephen W. Thomas, Bram Adams, Ahmed E. Hassan, Do...
MICCAI
2009
Springer
16 years 7 months ago
Personalized Modeling and Assessment of the Aortic-Mitral Coupling from 4D TEE and CT
The anatomy, function and hemodynamics of the aortic and mitral valves are known to be strongly interconnected. An integrated quantitative and visual assessment of the aortic-mitra...
Razvan Ioan Ionasec, Ingmar Voigt, Bogdan George...
CHI
2007
ACM
16 years 6 months ago
Modeling and understanding students' off-task behavior in intelligent tutoring systems
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...
Ryan Shaun Joazeiro de Baker
CVPR
2012
IEEE
13 years 9 months ago
Steerable part models
We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one...
Hamed Pirsiavash, Deva Ramanan