Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
Recently there has been increasing interest in the development of progress indicators for SQL queries. In this paper we present a lightweight online framework for this problem. Ou...
Fast and accurate estimation is critical for exploration of any dece in general. As we move to higher levels of abstraction, on of complete system designs at each level of abstrac...
Abstract. We describe a method for computing a continuous time estimate of dynamic changes in tracer density using list mode PET data. The tracer density in each voxel is modeled a...