We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
We address the problem of robust multi-target tracking within the application of hockey player tracking. The particle filter technique is adopted and modified to fit into the multi...
Projective transformations relate the coordinates of images that are taken by either a camera that undergoes only rotation while imaging an arbitrary scene, or one that rotates an...
Richard J. Radke, Peter J. Ramadge, Tomio Echigo, ...
We describe a general algorithm to produce compatible 3D triangulations from spatial decompositions. Such triangulations match edges and faces across spatial cell boundaries, solv...
Berk Geveci, Mathieu Malaterre, William J. Schroed...