Kenneth Weiss (Computer Science, University of Maryland)
will describe some recent work towards scaling the process of visual
recognition to handle thousands of objects classes on a limited computational
budget. Formally, the system is designed such that the computational resources
grow sub-linearly (poly-logarithmic) with the number of classes. This also
implies that features used for recognition should be shared by several
classes.
Work done jointly with Shai Shalev-Schwartz and Yonatan Wexler