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Flickr group recommendation with auxiliary information in heterogeneous information networks
Multimedia Systems, 2016Over the past few years, the appropriate utilization of user communities or image groups in social networks (i.e., Flickr or Facebook) has drawn a great deal of attention. In this paper, we are particularly interested in recommending preferred groups to users who may favor according to auxiliary information. In real world, the images captured by mobile
Yueyang Wang +4 more
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POPLAR: Parafac2 decOmPosition using auxiLiAry infoRmation
2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2020PARAFAC2 is a powerful method for analyzing multi-modal data consisting of irregular frontal slices. In this work, we propose POPLAR method that imposes graph Laplacians constraints induced by the similarity symmetric tensor as auxiliary information to force decomposition factors to behave similarly and the method is developed using AO-ADMM for 3-way ...
Ekta Gujral +2 more
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Guided inpainting with cluster-based auxiliary information
2015 IEEE International Conference on Image Processing (ICIP), 2015In this paper, we propose a new guided inpainting algorithm based on the exemplar-based approach in order to effectively fill in holes in image synthesis applications. Guided inpainting techniques can be very useful in settings where one has access to the ground truth information like most multiview coding applications.
Maugey, Thomas +2 more
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Estimation of coefficient of dispersion using auxiliary information
Communications in Statistics - Simulation and Computation, 2017SummaryIn this note, we consider the problem of estimation of coefficient of dispersion of a study variable by making use of known value of the coefficient of dispersion of an auxiliary variable. We propose ratio and regression type estimators. We derive expressions of bias and variance of the proposed estimators to the first order of approximation ...
Sai Kiran Ambati +2 more
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Use of Auxiliary Information in Risk Estimation
2008In the release of microdata files, reidentification of a record implies disclosure of the values of a possibly large set of sensitive variables. When microdata files are released by statistical Agencies, a careful assessment of the associated disclosure risk is therefore required. In order for an informed decision to be made, maximising accuracy and
L. Di Consiglio, POLETTINI, SILVIA
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Variational Bayes co-clustering with auxiliary information
Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering, 2013Clustering is a fundamental technique in data mining to identify essential group structures in a given data matrix. Traditional clustering methods are one-way clustering, which has however limitations for high-dimensional matrices or matrices with missing values.
Motoki Shiga, Hiroshi Mamitsuka
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Estimating Ratio of Proportions Using Auxiliary Information
Biometrical Journal, 1986AbstractThe problem of estimation of ratio of population proportions is considered and a difference‐type estimator is proposed using auxiliary information. The bias and mean squared error of the proposed estimator is found and compared to the usual estimator and also to WYNN'S (1976) type estimator. An example is included for illustration.
Singh, G., Singh, R. K., Kaur, P.
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Maximum Likelihood with Auxiliary Information [PDF]
, 2006 Analysis of survey data does not happen in a vacuum. We typically know more about the target population than just the data observed in the survey. In some cases this extra information can be incorporated via calibration of survey weights. However, model fitting using weights often leads to increased standard errors. Also, weights are usually calibrated
Chambers, Ray, Wang, Suojin
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Auxiliary Variational Information Maximization for Dimensionality Reduction
2006Mutual Information (MI) is a long studied measure of information content, and many attempts to apply it to feature extraction and stochastic coding have been made. However, in general MI is computationally intractable to evaluate, and most previous studies redefine the criterion in forms of approximations.
Felix V. Agakov, David Barber
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Efficient Utilization of Auxiliary Information at Estimation Stage
Biometrical Journal, 1996AbstractModified ratio or product estimators are suggested by making use of a very simple linear transformation on the auxiliary variable, which allows for a wider applicability of the modified estimators than that of customary ratio and product estimators.
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