In this article we consider the stochastic restricted ridge estimation in semipara-metric linear models when the covariates are measured with additive errors. The development of penalized corrected likelihood method in such model is the basis for derivation of ridge estimates. The asymptotic normality of the resulting estimates are established. Also, necessary and sufficient condition...

Classifiers that are deployed in the field can be used and evaluated in ways that were not anticipated when the model was trained. The ultimate evaluation metric may not have been known to the modeler at training time, additional performance criteria may have been added, the evaluation metric may have changed over time, or the real-world evaluation procedure may have been impossible to simulate...

introduction: today, medical software are used in different aspects of healthcare varying from simple data processing to collection and interpretation of physiological information and education of nurses and physicians. to ensure use of medical software, they must be constantly evaluated based on specific criteria. since there is no organized evaluation system and comprehensive criteria for eva...

Texture analysis plays an important role in applications like automated pattern inspection, image and video compression, content-based image retrieval, remotesensing, medical imaging and document processing, to name a few. Texture Structure Analysis is the process of studying the structure present in the textures. This structure can be expressed in terms of perceived regularity. Our human visua...

In this paper, a novel saliency theory based RR-IQA metric is introduced. As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. In order to extract the salient regions, we use blob decomposition (BD) tool as a texture component descriptor. A new method for blob decomposition is propos...