— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
Human motion capture has lately been the object of much attention due to commercial interests. A ”touch free” computer vision solution to the problem is desirable to avoid the...
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
The inverse diffusion problems deal with the estimation of many crucial parameters such as the diffusion coefficient, source properties, and boundary conditions. Such algorithms ...
With the tremendous growth of World Wide Web (WWW), the door has been opened to a multitude of services and information for even the most casual of users. Today, many wireless and ...