Pseudo-relevance feedback methods assume the initial retrieved set of documents to be relevant. Then they use these documents to extract more relevant terms for the query or just re-weigh the user's original query. In this paper, we propose a straightforward, yet effective use of pseudo-...
However, utilization of the deep-learning based methods in remote sensing has been challenged by the absence of the large-scale datasets (Demir et al., 2018). To the best of our knowledge, there is no publicly available dataset for counting Methodology The primary goal of our paper is to ...
In summary, the previous Re-Weight methods worsen the recall performances, while the SCR does not. Table 4. The ablation study for the predicate sample estimates on Recall@100. The underbar represents the predicate sample estimates for better generality. Hyper-parameters. The hyper-parameters of...
> attached base packages: > [1] stats graphics grDevices utils datasets methods base > > other attached packages: > [1] systemfit_1.1-30 lmtest_0.9-40 zoo_1.8-12 car_3.1-2 > carData_3.0-5 Matrix_1.6-1 > [7] gmm_1.8 sandwich_3.0-2 > > loaded via a namespace (and not attached...
You don't cite sources, as requested in the FAQ, but I imagine that some of yours are at http://gking.harvard.edu/category/research-interests/methods/rare-events. Stata has a command -sttocc- to turn -stset- data into case-control data. Commands -stcox- and -cloglog- (for grouped...
A comparative study is then carried out with alternative region re-weighting methods.doi:10.1007/s11760-009-0128-1IkerGondraDepartment of MathematicsTaoXurnDepartment of MathematicsSpringer-VerlagSignal Image & Video ProcessingGondra, I., Xu, T.: Image region re-weighting via multiple instance ...
A detailed mathematical model and solution algorithm of the proposed model is given, and it has been applied in a test area covering the city borders of Istanbul for which its results were studied and compared to other three methods.doi:10.1179/003962608X253673Soycan, M....
Unlike diagnostic methods like the three-sigma rule or data snooping, robust estimation aims not at removing outliers but seeks to minimize their impact. We will assume different probability functions of the data, including Huber's distribution, to account for the presence of outliers. Special ...
Extensive numerical simulation results show that the GAR method outperforms the commonly used methods, and the GAR method is tested on the gastric cancer dataset for further illustration.doi:10.1080/03610926.2022.2028841Zijun GuoView further author information...
An inside-variance estimation method (IVEM) for regression of the kinetic parameters in kinetic models and binary interaction parameters in thermodynamic models is proposed. The new method substantially improves the model predictions when compared with traditional least squares regression methods....