it does not require accurate knowledge of these parameters. The Nondimensional Star-ID method represents a unique tool to identify the stars of uncalibrated or inaccurate parameters cameras. The basic idea derives the identification process from the observed focal plane angles which are, to first order

to be inaccurate and misleading. In this work, we introduce the notion of graph identification, which explicitly models the inference of a “cleaned ” output graph from a noisy input graph. We show how graph identification can be thought of as a series of probabilistic

of the standard as to the existence of such rights, and is not responsible to recognize, disclose, or identify any or all such third party patent right, owners or claimants, nor for any incomplete or inaccurate identification or disclosure of such rights, owners or claimants. DMTF shall have no liability to any

The problem of the identification of mechanical inclusion is theoretically ill-posed, and to-date numerical algorithms have demonstrated to be inaccurate and unstable. On the other hand, Evolutionary Algorithms provide a general approach to inverse problem solving. However, great care must

Ames and col-leagues allege that the scientific and public health communities have perpetuated a series of ‘misconcep-tions ’ that resulted in inaccurate identification of chem-icals that pose potential human cancer risks, and mis-guided cancer prevention strategies and regulatory policies

A large fraction of the asteroids have been lost shortly after discovery, thus the asteroid catalogs contain a large number of low accuracy orbits. Two of these inaccurate orbits can belong to the same physical object; the challenge is to find effective algorithms for identification. We give a new

representation for potential solutions. The identification of mechanical inclusion, even in the linear elasticity framework, is a difficult problem, theoretically ill-posed: Evolutionary Algorithms are in that context a good tentative choice for a robust numerical method, as standard deterministic algorithms

or ratio. Our analyses indicate that a simple correlation between the mean and median signal intensities may be the best way to eliminate inaccurate microarray signals. Unlike traditional quality control methods, the low intensity signals are retained and inaccurate signals are eliminated in this mean

Abstract: Problem-oriented policing initiatives are one important form of crime prevention, and they offer opportunities for learning about implementation success and failure. Problem-oriented policing initiatives can succeed or fail for a variety of reasons, among them: inaccurate identification

, clustering, statistics, computational biology, data mining and database privacy, where loss and error may be introduced by nature, inaccurate measurements, or on purpose. We give fairly efficient algorithms to recover the data under fairly general assumptions. Underlying our algorithms is a new structure we