Mahalanobis metric learningSVMIn this paper, to combine the advantage of both polynomial kernel and the Mahalanobis distance metric learning (DML) methods, we propose a Mahalanobis DML based polynomial kernel for the classification of hyperspectral images. To ensure the method is computing-saving, we...
Rubin D. (1980), `Bias reduction using Mahalanobis-metric matching', Biometrics, 36, pp. 293-298.Rubin, D. B. (1978b). Bias reduction using mahalanobis metric matching. ETS Research Report Series, 1978(2).Rubin (1980): Bias Reduction Using Mahalanobis-Metric Matching. Biometrics, 36, 293...
Today, I look into a popular alternative to propensity score matching: Mahalanobis Metric (MM) matching. The two matching methods are different mainly in that MM matching uses the Mahalanobis metric to find matches instead of propensity scores. I will show you step-by-step that how MM matching...
An Improved algorithm for image recognition, called Mahalanobis Distance Metric based Laplacian Mapping Algorithm(MLMA), is presented in this paper. Firstly MLMA learns a Mahalanobis metric matrix from training samples, then we use the Mahalanobis metic as a similarity measure in Laplacian Mapping Algor...
Experimental results show the superiority of the proposed PC quality metric over relevant state-of-the-art. 展开 关键词: Point cloud quality assessment geometry $Mahalanobis$ distance point to distribution DOI: 10.1109/LSP.2020.3010128 年份: 2020 ...
Dear Users, I'm trying to implement mahalanobis metric matching using psmatch2, but I'm not able to exact match on a covariate (say, X). With other matching algorithms, the propensity score can be appropriately modified to achieve exact matching, as explained here, for instance: http://...
[22].Thus it can enhance the performance of clustering or classification algorithms,such as KNN classifier.Such advantages can be used to perform spe-cial tasks on a given data set, if given a suitable Mahalanobis distance metric. It is natural to learn it from some prior knowledge supplied ...
We provide the Mahalanobis metric equation, which is covariant with coordinate transformation. Furthermore, we show its experimental results.doi:10.1007/11815921_66Yamashita, YukihikoNumakami, MarikoInoue, NaoyaSpringer Berlin HeidelbergY. Yamashita, M. Numakami, and N. Inoue. Maxwell normal ...
new cluster validity index IRY is proposed via using the Mahalanobis metric for the validation of partitions of object data produced by DBCAMM algorithm.The proposed index is tested and validated using several synthetic datasets with arbitrary shape.The results of the comparisons show the superior ...
mahalanobis metric classificationwhitening transformDiabetes affects retinal structure of a diabetic patient by generating various lesions. Early detection of these lesions can avoid the loss of vision. Automation of detection process can be made easily feasible to masses by the use of fundus imaging. ...