Fusion methods for multi-modal indexing of web data

Author(s):  
Usman Niaz ◽  
Bernard Merialdo
Keyword(s):  
Web Data ◽  
2009 ◽  
Vol 20 (11) ◽  
pp. 2950-2964 ◽  
Author(s):  
Xiao-Yong DU ◽  
Yan WANG ◽  
Bin LÜ

2019 ◽  
Vol 14 (3) ◽  
pp. 178-189 ◽  
Author(s):  
Xiaoyang Jing ◽  
Qimin Dong ◽  
Ruqian Lu ◽  
Qiwen Dong

Background:Protein inter-residue contacts prediction play an important role in the field of protein structure and function research. As a low-dimensional representation of protein tertiary structure, protein inter-residue contacts could greatly help de novo protein structure prediction methods to reduce the conformational search space. Over the past two decades, various methods have been developed for protein inter-residue contacts prediction.Objective:We provide a comprehensive and systematic review of protein inter-residue contacts prediction methods.Results:Protein inter-residue contacts prediction methods are roughly classified into five categories: correlated mutations methods, machine-learning methods, fusion methods, templatebased methods and 3D model-based methods. In this paper, firstly we describe the common definition of protein inter-residue contacts and show the typical application of protein inter-residue contacts. Then, we present a comprehensive review of the three main categories for protein interresidue contacts prediction: correlated mutations methods, machine-learning methods and fusion methods. Besides, we analyze the constraints for each category. Furthermore, we compare several representative methods on the CASP11 dataset and discuss performances of these methods in detail.Conclusion:Correlated mutations methods achieve better performances for long-range contacts, while the machine-learning method performs well for short-range contacts. Fusion methods could take advantage of the machine-learning and correlated mutations methods. Employing more effective fusion strategy could be helpful to further improve the performances of fusion methods.


2020 ◽  
Author(s):  
Elise Braekman ◽  
Stefaan Demarest ◽  
Rana Charafeddine ◽  
Sabine Drieskens ◽  
Finaba Berete ◽  
...  

BACKGROUND Potential is seen in web data collection for population health surveys due to a combination of its cost-effectiveness, implementation ease and the increased internet penetration. Nonetheless, web modes may lead to lower and more selective unit response rates than traditional modes and hence may increase bias in the measured indicators. OBJECTIVE This research assesses the unit response and costs of a web versus F2F study. METHODS Alongside the F2F Belgian Health Interview Survey of 2018 (BHIS2018; n gross sample used: 7,698), a web survey (BHISWEB; n gross sample=6,183) is organized. Socio-demographic data on invited individuals is obtained from the national register and census linkages. Unit response rates considering the different sampling probabilities of both surveys are calculated. Logistic regression analyses examine the association between mode system (web vs. F2F) and socio-demographic characteristics on unit non-response. The costs per completed web questionnaire are compared with these for a completed F2F questionnaire. RESULTS The unit response rate is lower in BHISWEB (18.0%) versus BHIS2018 (43.1%). A lower web response is found among all socio-demographic groups, however, the difference is higher among people older than 65, low educated people, people with a non-Belgian nationality, people living alone and these living in Brussels Capital. Not the same socio-demographic characteristics are associated with non-response in both studies. Having another European (OR (95% CI): 1.60 (1.20-2.13)) or a non-European nationality (OR (95% CI): 2.57 (1.79-3.70)) (compared to having the Belgian nationality) and living in the Brussels Capital (95% CI): 1.72 (1.41-2.10)) or Walloon (OR (95% CI): 1.47 (1.15 - 1.87) region (compared to living in the Flemish region) is only in BHISWEB associated with a higher non-response. In BHIS2018 younger people (OR (95% CI): 1.31 (1.11-1.54)) are more likely to be non-respondent than older people, this was not found BHISWEB. In both studies, lower educated people have a higher change to be non-respondent, but this effect is more pronounced in BHISWEB (OR low vs. high education level (95% CI): Web 2.71 (2.21-3.39)); F2F 1.70 (1.48-1.95)). The BHISWEB study has a considerable cost advantage; the total cost per completed questionnaire is almost three times lower (€41) compared to the F2F data collection (€111). CONCLUSIONS The F2F unit response rate is generally higher, yet for certain groups the difference between web versus F2F is more limited. A considerable cost advantage of web collection is found. It is therefore worthwhile to experiment with adaptive mixed-mode designs to optimize financial resources without increasing selection bias; e.g. only inviting socio-demographic groups more eager to participate online for web surveys while remaining to focus on increasing the F2F response rates for other groups. CLINICALTRIAL Studies approved by the Ethics Committee of the University hospital of Ghent


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Yan ◽  
Qun Hao ◽  
Jie Cao ◽  
Rizvi Saad ◽  
Kun Li ◽  
...  

AbstractImage fusion integrates information from multiple images (of the same scene) to generate a (more informative) composite image suitable for human and computer vision perception. The method based on multiscale decomposition is one of the commonly fusion methods. In this study, a new fusion framework based on the octave Gaussian pyramid principle is proposed. In comparison with conventional multiscale decomposition, the proposed octave Gaussian pyramid framework retrieves more information by decomposing an image into two scale spaces (octave and interval spaces). Different from traditional multiscale decomposition with one set of detail and base layers, the proposed method decomposes an image into multiple sets of detail and base layers, and it efficiently retains high- and low-frequency information from the original image. The qualitative and quantitative comparison with five existing methods (on publicly available image databases) demonstrate that the proposed method has better visual effects and scores the highest in objective evaluation.


2011 ◽  
Vol 255-260 ◽  
pp. 2072-2076
Author(s):  
Yi Yong Han ◽  
Jun Ju Zhang ◽  
Ben Kang Chang ◽  
Yi Hui Yuan ◽  
Hui Xu

Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we present a new approach using structural similarity index for assessing quality in image fusion. The advantages of our measures are that they do not require a reference image and can be easily computed. Numerous simulations demonstrate that our measures are conform to subjective evaluations and can be able to assess different image fusion methods.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1440
Author(s):  
Yiran Yuan ◽  
Chenglin Wen ◽  
Yiting Qiu ◽  
Xiaohui Sun

There are three state estimation fusion methods for a class of strong nonlinear measurement systems, based on the characteristic function filter, namely the centralized filter, parallel filter, and sequential filter. Under ideal communication conditions, the centralized filter can obtain the best state estimation accuracy, and the parallel filter can simplify centralized calculation complexity and improve feasibility; in addition, the performance of the sequential filter is very close to that of the centralized filter and far better than that of the parallel filter. However, the sequential filter can tolerate non-ideal conditions, such as delay and packet loss, and the first two filters cannot operate normally online for delay and will be invalid for packet loss. The performance of the three designed fusion filters is illustrated by three typical cases, which are all better than that of the most popular Extended Kalman Filter (EKF) performance.


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