We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
Automatic visual inspection plays a growing role in today's efforts to reduce the costs of industrial production. Three to ten months of man power have to be invested for the...
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
We present an optimized full scale automatic camera calibration approach which is both accurate and simple to implement. The method can be applied to a wide range of cameras equip...
Vitaly Orekhov, Besma R. Abidi, Christopher Broadd...
We studied a number of measures that characterize the difficulty of a classification problem. We compared a set of real world problems to random combinations of points in this mea...