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In this paper, we provide a full solution to facial image tagging and classification in a cloud environment using Hadoop and KNN.
This motivates us to introduce the regularization (Tibshirani, 1996): The regularization (also called Lasso) performs feature selection and classification in a unified formulation.
We adopted the Recursive SVM (R-SVM) method we developed for gene and protein expression data [ 39], which can perform feature selection and classification in a wrapped manner.
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So detection of such brain tumor location, identification and classification in earlier stage is a serious issue in medical science.
This work aims at demonstrating the usefulness of exploiting novel image-processing tools for moving-object detection and classification in the context of an actual application involving the remote monitoring of a tourist site.
We find that users rely less (more) on the consistency between management's reporting incentives and the classification in a mandated (discretionary) reporting environment and when managers have a good (poor) reporting reputation.
Without forming SAR image, we may realize target recognition and classification directly in a signal level rather than in an image level.
ACSL3 was chosen for subsequent assessment of the relationships between prenatal PAH exposure and gene 5'-CGI methylation status and for exploratory analyses of PAH exposure status and asthma classification in a larger sample of 56 children from the CCCEH cohort.
In it carotid artery is recognized automatically using a scale-space and statistical classification in a multiresolution framework.
We found no effect on the risk of reoperation of age group, sex, and ASA classification in a Cox regression analysis (Table 5; see supplementary data).
Molinari et al. [ 17] described a novel technique called completely automated multiresolution edge snapper (CAMES), which recognized CCA based on a combination of scale-space and statistical classification in a multiresolution framework.
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