In this work we consider the task of relaxing the i.i.d. assumption in pattern recognition (or classification), aiming to make existing learning algorithms applicable to a wider r...
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Sensor networks, with their ad hoc deployments, node mobility, and wireless communication, pose serious challenges for developing provably correct and efficient applications. A po...
Bernadette Charron-Bost, Jennifer L. Welch, Josef ...
Vision tasks, such as segmentation, grouping, recognition, can be formulated as graph partition problems. The recent literature witnessed two popular graph cut algorithms: the Ncu...
Many embedded systems contain resource constrained microcontrollers where applications, operating system components and device drivers reside within a single address space with no...
Ram Kumar, Akhilesh Singhania, Andrew Castner, Edd...