We present a new method to estimate the Hurst parameter of the increment process in network traffic – a process that is assumed to be self-similar. The confidence intervals an...
: Cost-based optimizers in relational databases make use of data statistics to estimate intermediate result cardinalities. Those cardinalities are needed to estimate access plan co...
We systematically compare five representative state-of-theart methods for estimating query language models with pseudo feedback in ad hoc information retrieval, including two var...
This paper presents a reconfigurable processor designed to execute user-defined block-matching motion estimation algorithms, and a toolset for the design of such algorithms and ...
Trevor Spiteri, George Vafiadis, Jose Luis Nunez-Y...
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...