We propose a new family of non-submodular global energy functions that still use submodularity internally to couple edges in a graph cut. We show it is possible to develop an efļ¬...
This paper studies existence and uniqueness results and interlacing properties of nonlinear modiļ¬cations of small rank of symmetric eigenvalue problems. Approximation properties ...
This paper addresses the problem of estimating the epipolar geometry from apparent contours in two special cases: under weak perspective and for circular motion. An appropriate pa...
ā We consider dual subgradient methods for solving (nonsmooth) convex constrained optimization problems. Our focus is on generating approximate primal solutions with performance ...
ā Cellular simultaneous recurrent neural network has been suggested to be a function approximator more powerful than the MLPās, in particular for solving approximate dynamic pr...