There is a huge amount of research work which gives information about image search re-ranking. The diverse work is need to be collected for getting more information in this area. This paper presents survey of various techniques which are used for image re-ranking. Firstly it introduces the object queries which gives result images specific to some kinds of objects and retrieval models. In next s...

Motivated by numerous models of representing trust and distrust within a graph ranking system, we examine a quantitative vertex ranking with consideration of the influence of a subset of nodes. An efficient algorithm is given for computing Dirichlet PageRank vectors subject to Dirichlet boundary conditions on a subset of nodes. We then give several algorithms for various trust-based ranking pro...

This paper deals with knapsack problem in fuzzy nature, where both the objective function and constraints are considered to be fuzzy. Three different models for proposed including, expected value model, chance-constrained dependent-chance model. Credibility ranking method is applied convert into a crisp equivalent linear one considering triangular trapezoidal numbers. The solution of obtained r...

We introduce five regression models for the modeling of expressed emotion in music using data obtained in a two alternative forced choice listening experiment. The predictive performance of the proposed models is compared using learning curves, showing that all models converge to produce a similar classification error. The predictive ranking of the models is compared using Kendall’s τ rank corr...

We investigate the problem of ranking answers to a database query when many tuples are returned. We adapt and apply principles of probabilistic models from Information Retrieval for structured data. Our proposed solution is domain independent. It leverages data and workload statistics and correlations. Our ranking functions can be further customized for different applications. We present result...

Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as opposed to a classification. Furthermore, for many such problems, multiple established ranking models have been well studied and it is desirable to combine their results into a joint ranking, a formalism denoted as rank a...