Milenko Drinic UCLA Computer Science Dep. 4732 Boelter Hall Los Angeles, CA 90095-1596 milenko@cs.ucla.edu Darko Kirovski Microsoft Research One Microsoft Way Redmond, WA 98052 da...
In a sparse-representation-based face recognition scheme, the desired dictionary should have good representational power (i.e., being able to span the subspace of all faces) while...
Coalescence, meaning the tracker associates more than one trajectories to some targets while loses track for others, is a challenging problem for visual tracking of multiple targe...
This paper presents a photo browsing system on mobile devices to browse and search photos efficiently by tilting action. It employs tilt dynamics and multi-scale photo screen layo...
Sung-Jung Cho, Roderick Murray-Smith, Yeun-Bae Kim
Support Vector Machines (SVM) are one of the most useful
techniques in classification problems. One clear example
is face recognition. However, SVM cannot be applied
when the fe...