We present a simple and e cient paradigm for computing the exact solution of the motionplanning problem in environments with a low obstacle density. Such environments frequently o...
A. Frank van der Stappen, Mark H. Overmars, Mark d...
We address the problem of Bayesian image reconstruction with a prior that captures the notion of a clustered intensity histogram. The problem is formulated in the framework of a j...
We present a novel framework for multiple object tracking in which the problems of object detection and data association are expressed by a single objective function. The framewor...
Zheng Wu, Ashwin Thangali, Stan Sclaroff, Margrit ...
: The decomposition of planning and scheduling problems is a well known technique to make these problems tractable. The resulting dependable subproblems were often solved using dif...
— This work considers the problem of transmitting multiple compressible sources over a network with minimum cost. The problem is complicated by the fact that the description of t...