We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
Abstract. This paper addresses the problem of motion estimation and reconstruction of 3D models from profiles of an object rotating on a turntable, obtained from a single camera. I...
Intrinsic and parasitic capacitances play an important role in determining the high?frequency RF performance of devices. Recently, a new type of carbon nanotube field effect trans...
Chaitanya Kshirsagar, Mohamed N. El-Zeftawi, Kaust...
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...