The Experts below are selected from a list of 232725 Experts worldwide ranked by ideXlab platform
Alan C Bovik - One of the best experts on this subject based on the ideXlab platform.
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deep convolutional neural models for picture quality prediction challenges and solutions to Data driven image quality assessment
IEEE Signal Processing Magazine, 2017Co-Authors: Hui Zeng, Deepti Ghadiyaram, Lei Zhang, Alan C BovikAbstract:Convolutional neural networks (CNNs) have been shown to deliver standout performance on a wide variety of visual information processing applications. However, this rapidly developing technology has only recently been applied with systematic energy to the problem of picture-quality prediction, primarily because of limitations imposed by a lack of adequate ground-truth human Subjective Data. This situation has begun to change with the development of promising Data-gathering methods that are driving new approaches to deep-learning-based perceptual picture-quality prediction. Here, we assay progress in this rapidly evolving field, focusing, in particular, on new ways to collect large quantities of ground-truth Data and on recent CNN-based picture-quality prediction models that deliver excellent results in a large, real-world, picture-quality Database.
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Temporal hysteresis model of time varying Subjective video quality
2011 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2011Co-Authors: Kalpana Seshadrinathan, Alan C BovikAbstract:Video quality assessment (QA) continues to be an important area of research due to the overwhelming number of applications where videos are delivered to humans. In particular, the problem of temporal pooling of quality sores has received relatively little attention. We observe a hysteresis effect in the Subjective judgment of time-varying video quality based on measured behavior in a Subjective study. Based on our analysis of the Subjective Data, we propose a hysteresis temporal pooling strategy for QA algorithms. Applying this temporal strategy to pool scores from PSNR, SSIM and MOVIE produces markedly improved Subjective quality prediction.
Artemis Kloess - One of the best experts on this subject based on the ideXlab platform.
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bayesian reliability analysis with evolving insufficient and Subjective Data sets
Journal of Mechanical Design, 2009Co-Authors: Pingfeng Wang, Byeng D Youn, Artemis KloessAbstract:A primary concern in product design is ensuring high system reliability amidst various uncertainties throughout a product life-cycle. To achieve high reliability, uncertainty Data for complex product systems must be adequately collected, analyzed, and managed throughout the product life-cycle. However, despite years of research, system reliability assessment is still difficult, mainly due to the challenges of evolving, insufficient, and Subjective Data sets. Therefore, the objective of this research is to establish a new paradigm of reliability prediction that enables the use of evolving, insufficient, and Subjective Data sets (from expert knowledge, customer survey, system inspection & testing, and field Data) over the entire product life-cycle. This research will integrate probability encoding methods to a Bayesian updating mechanism. It is referred to as Bayesian Information Toolkit (BIT). Likewise, Bayesian Reliability Toolkit (BRT) will be created by incorporating reliability analysis to the Bayesian updating mechanism. In this research, both BIT and BRT will be integrated to predict reliability even with evolving, insufficient, and Subjective Data sets. It is shown that the proposed Bayesian reliability analysis can predict the reliability of door closing performance in a vehicle body-door subsystem where the relevant Data sets availability are limited, Subjective, and evolving.
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bayesian reliability analysis with evolving insufficient and Subjective Data sets
Design Automation Conference, 2008Co-Authors: Pingfeng Wang, Byeng D Youn, Artemis KloessAbstract:A primary concern in product design is ensuring high system reliability amidst various uncertainties throughout a product life-cycle. To achieve high reliability, uncertainty Data for complex product systems must be adequately collected, analyzed, and managed throughout the product life-cycle. However, despite years of research, system reliability assessment is still difficult, mainly due to the challenges of evolving, insufficient, and Subjective Data sets. Therefore, the objective of this research is to establish a new paradigm of reliability prediction that enables the use of evolving, insufficient, and Subjective Data sets (from expert knowledge, customer survey, system inspection & testing, and field Data) over the entire product life-cycle. This research will integrate probability encoding methods to a Bayesian updating mechanism. It is referred to as Bayesian Information Toolkit (BIT). Likewise, Bayesian Reliability Toolkit (BRT) will be created by incorporating reliability analysis to the Bayesian updating mechanism. In this research, both BIT and BRT will be integrated to predict reliability even with evolving, insufficient, and Subjective Data sets. It is shown that the proposed Bayesian reliability analysis can predict the reliability of door closing performance in a vehicle body-door subsystem where the relevant Data sets availability are limited, Subjective, and evolving.Copyright © 2008 by ASME and General Motors Corporation
Mark P Taylor - One of the best experts on this subject based on the ideXlab platform.
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measuring match quality using Subjective Data
Social Science Research Network, 2011Co-Authors: Priscila Ferreira, Mark P TaylorAbstract:We examine whether Subjective information routinely collected in general surveys can be used to construct a single measure of underlying match quality which helps test matching models and predict labour market outcomes of workers.
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measuring match quality using Subjective Data
Research Papers in Economics, 2010Co-Authors: Priscila Ferreira, Mark P TaylorAbstract:We examine whether Data routinely collected in household surveys and surveys of workers can be used to construct a measure of underlying match quality between worker and firm which helps test matching models and predict subsequent labour market outcomes of workers. We use Subjective Data from employees both on reported levels of job satisfaction with various aspects of the current job and on whether they would like a new job with a new employer to construct a measure of underlying match quality. We then use this to test several implications of matching models relating to wage-tenure profiles, wages, and separations.
Anita Giobbiehurder - One of the best experts on this subject based on the ideXlab platform.
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fourteen year follow up of a patient fitted total temporomandibular joint reconstruction system
Journal of Oral and Maxillofacial Surgery, 2006Co-Authors: Louis G Mercuri, Naushad R Edibam, Anita GiobbiehurderAbstract:Purpose The purpose of this study was to continue the assessment of the safety and effectiveness of the Patient-Fitted Total Temporomandibular Joint Reconstruction System (now, TMJ Concepts Patient-Fitted Total Temporomandibular Joint Reconstruction System, Ventura, CA; previously referred to as Techmedica, Camarillo, CA, the CAD/CAM Patient-Fitted Total Temporomandibular Joint Reconstruction System). Patients and Methods Questionnaires were mailed to the available addresses of 193 patients who had been implanted with Techmedica/TMJ Concepts devices between 1990 and 2004. Of 193 recorded addresses, 149 (77.2%) were valid, and 44 (22.7%) were returned by the US Postal Service as undeliverable. Two (1%) surveys were remailed; both were returned completed. A total of 61 (31.6%) surveys were returned properly completed. This represented 102 devices (41 bilateral, 20 unilateral), with a mean follow-up of 11.4 years (standard deviation [SD] 3.0; range, 0 to 14). Subjective Data related to pain, perception of mandibular function, diet consistency, and current quality of life were collected with the use of visual analog scales. Objective measures of maximum interincisal opening (MIO) were obtained from direct measurements with the Therabite Measuring Scale (Atos Medical, Milwaukee, WI), which was provided in the survey along with instructions on its use. Results Analysis of Subjective Data showed a significant reduction in pain scores and an increase in mandibular function and diet consistency scores (P < .001). Analysis of objective Data showed an improvement in mandibular range of motion after 14 years (P = .02). Among all respondents, 85% reported quality of life (QOL) scores that showed improvement since baseline. Long-term quality of life improvement scores also were found to be statistically related to the number of previous temporomandibular joint operations the patient had undergone. Conclusions Outcome Data presented show that the Patient-Fitted Total Temporomandibular Joint Reconstruction System continues to be a safe, effective, and reliable long-term management modality for the specific patient population surveyed in this study.
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long term follow up of the cad cam patient fitted total temporomandibular joint reconstruction system
Journal of Oral and Maxillofacial Surgery, 2002Co-Authors: Louis G Mercuri, Larry M Wolford, Bruce Sanders, Dean R White, Anita GiobbiehurderAbstract:Purpose: The purpose of this study was the assessment of the long-term safety and effectiveness of the Techmedica (Camarillo, CA) CAD/CAM Total Temporomandibular Joint Reconstruction System (now called the TMJ Concepts Patient Fitted Total Temporomandibular Joint Reconstruction System, Ventura, CA). Patients and Methods: A survey was mailed to the available addresses of 170 (79%) of the 215 patients who had been implanted with the Techmedica System devices between 1990 and 1994. Seventy-nine (46%) surveys were returned by the US Postal Service as undeliverable. Three patients (1.4%) were reported as deceased in returns from relatives. Therefore, of the remaining 91 possible responses, 60 (65.9%) were returned. Fifty-eight (58) surveys, considered complete and valid (96.7%), representing 97 (39 bilateral, 19 unilateral) devices with a mean follow-up of 107.4 ± 15.5 months (range, 60 to 120 months) were analyzed. Subjective Data related to pain, mandibular function, diet consistency, and present quality of life were collected using visual analog scales. Objective measures of mandibular interincisal opening and lateral excursions were obtained from direct measurements using the Therabite (Therabite, Philadelphia, PA) measuring scale provided in the survey with instructions as to its use. Results: Analysis of the Subjective Data at 10 years revealed a 76% reduction in mean pain scores and a 68% increase in mean mandibular function and diet consistency scores (P <.0001). Analysis of objective Data revealed a 30% improvement in mandibular range of motion after 10 years (P =.0009). Long-term quality of life improvement scores were statistically related to the number of prior temporomandibular joint operations the patients had undergone. Conclusion: These Data indicate that the CAD/CAM Patient Fitted Total Temporomandibular Joint Reconstruction System has proved to be a safe and effective long-term management modality in the patient population surveyed for this study. © 2002 American Association of Oral and Maxillofacial Surgeons J Oral Maxillofac Surg 60:1440-1448, 2002
Ligia Pinto - One of the best experts on this subject based on the ideXlab platform.
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students expectations of the economic returns to college education results of a controlled experiment
Economics of Education Review, 2004Co-Authors: Anabela Botelho, Ligia PintoAbstract:Abstract We report the results of an experiment designed to elicit students’ Subjective beliefs about the economic returns to college education. An important feature of our experimental design is the inclusion of financial incentives for accurate reporting. We also consider the extent to which individuals’ beliefs about their own returns differ from their beliefs about the returns for others. The evidence shows that students do have a self-enhancement tendency, and this finding cannot be attributed to previously uncontrolled order effects. The evidence also indicates that there is no significant difference between beliefs elicited using hypothetical surveys or real financial incentives in the elicitation procedure. This finding suggests that economists’ reluctance to gather Subjective Data on earnings expectations may not be warranted.
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students expectations of the economic returns to college education results of a controlled experiment
Research Papers in Economics, 2003Co-Authors: Anabela Botelho, Ligia PintoAbstract:This study reports the results of an experiment designed to elicit students' Subjective beliefs about the economic returns to college education. An important feature of our experimental design is the inclusion of financial incentives for accurate reporting. We also consider the extent to which individuals' beliefs about their own returns differ from their beliefs about the returns for others. The evidence shows that students do have a self-enhancement tendency, and this finding cannot be attributed to previously uncontrolled order effects. The evidence also indicates that there is no significant difference between beliefs elicited using hypothetical surveys or real financial incentives in the elicitation procedure. This finding suggests that economists' reluctance to gather Subjective Data on earnings expectations may not be warrant.
