We present a new , deterministic, distributed MAPes­ timation algorithm for Markov Random Fields called Local Highest Confidence First (Local HCF). The al­ gorithm has been applied to segmentation problems in computer vision and its performance compared with stochastic algorithms. The experiments show that Local HCF finds better estimates than stochas­ tic algorithms with much less computation.

A novel approach to the automatic detection of fault surface images in 3D seismic datasets is presented. Based on the premise that seismic faulting introduces discontinuities into the rock layering (that is, the horizons), a coherency measure is used to detect points of significant horizon discontinuity. A highest confidence first (HCF) merging strategy is then combined with a flexible surface ...

We examine the effects of human resource management (HRM) practices (e.g., career development, social support, compensation, and security) on IT professionals‟ job search behavior. Job search is a relatively novel dependent variable in studies of voluntary withdrawal behavior, in general, and for IT professionals, in particular. From a universalistic perspective, HRM practices individually and ...

In this work we present a large area of aspects related to the problem of sampling inspection in the case of reliability. First we discuss the actual status of this domain, mentioning the newest approaches (from a technical view point) such as HALT and HASS and the statistical perspective. After a brief description of the general procedure in sampling inspection, we offer what we did call here ...

We report new measurements of fluorescence excitation spectra and single rovibronic level fluorescence lifetimes for ð0; t2; 0Þ ð0; 0; 0Þ bands with t2 1⁄4 0–6 in the HCF ~ AA 00 ~ X1A0 system. Due primarily to the Renner–Teller interaction, upper state levels with Ka P 1 display an obvious lengthening of lifetime with increasing energy which is strongly correlated with the presence of vibronic...

The aim of this paper is to provide a probabilistic, but non-quantum, analysis of the Halting Problem. Our approach is to have the probability space extend over both space and time and to consider the probability that a random N -bit program has halted by a random time. We postulate an a priori computable probability distribution on all possible runtimes and we prove that given an integer k > 0...

We summarize photometric and spectroscopic observations of V463 Sct (Nova Sct 2000), which was originally thought to be a red variable. The spectrum taken on 2000 March 16.81 UT showed prominent emission lines with a FHWM of 990 km s (Hα). The light curve shows a conspicuous premaximum halt lasting at least for 24 d, and a late-phase flare-like maximum. The nova then started rapidly fading at a...

The author argues that an artificial general intelligence (AGI) system capable of adapting to various domains autonomously must have the ability to develop domain-specific frames within a practical amount of time; however, current AI technologies are insufficient to achieve this. Frames are knowledge representations which consist of sets of variables. In the frame generation procedure, a signif...

In this paper we address an important issue in motion analysis: the detection of moving objects. A statistical approach is adopted in order to formulate the problem. The inter-frame difference is modeled by a mixture of Laplacian distributions, and a Gibbs random field is used for describing the label set. A new method to determine the regularization parameter is proposed, based on a voting tec...

This paper describes a 1 to 3.5 kWe hermetic scroll expander-generator modified from a standard hermetic compressor, an organic Rankine cycle test facility built to test expanders up to 1 0 kWe and a set of experimental results using HCF 134a in the dry vapor domain. Peak overall isentropic efficiencies in the range of 63 to 65% for speeds of rotation varying between 2400 and 3600 rpm are repor...