To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Appearance-based localization compares the current image taken from a robot's camera to a set of pre-recorded images in order to estimate the current location of the robot. S...
A general method for near-best approximations to functionals on Rd, using scattered-data information is discussed. The method is actually the moving least-squares method, presented...
Performance and power consumption of an on-chip interconnect that forms the backbone of Chip Multiprocessors (CMPs), are directly influenced by the underlying network topology. Bo...
Reetuparna Das, Soumya Eachempati, Asit K. Mishra,...