In many applications of wireless sensor networks (WSN), sensors are deployed un-tethered in hostile environments. For locationaware WSN applications, it is essential to ensure tha...
Abstract. Local similarity is an important tool in comparative analysis of biological sequences, and is therefore well studied. In particular, the Smith-Waterman technique and its ...
Rolf Backofen, Danny Hermelin, Gad M. Landau, Oren...
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Abstract Location-aware technology spawns numerous unforeseen pervasive applications in a wide range of living, production, commence, and public services. This article provides an ...
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...