In this paper, we study multiple target detection using Bayesian learning. The main aim of the paper is to present a computationally efficient way to compute the belief map update ...
Semantic information helps in identifying the context of a document. It will be interesting to find out how effectively this information can be used in recommending related docume...
Search services are now ubiquitously employed in searching for documents on the Internet and on enterprise intranets. This research develops an economic model for comparing search...
Abstract. This paper presents a simple and practical solution to the 6-point 2view focal-length estimation problem. Based on the hidden-variable technique we have derived a 15th de...
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...