Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization problem is inherently a gradient-descent method and is sensitive to initialization. The resulting solution is a local optimum in the neighborhood of the initial guess. This sensitivity to initialization presents a signifi...

In this paper, a novel exemplar-based completion model which is used to remove objects from natural image and texture image is proposed. Firstly the model selects a dynamic size of exemplar based on the local texture information. Secondly, the filling order of exemplar is determined by a cross-isophote diffusion data item. The data item is the result of partial differential equation (PDE) which...

Recovering lost part of an image plays a great role in image processing. Inpainting is a technique that helps in recovering lost pixels from an image. From the existing techniques of Inpainting, Exemplar Inpainting is one of the fast and better techniques that help in restoring the lost part of an image. Exemplar based method chooses a patch similar to the lost patch from the known area to fill...

Recovering lost part of an image plays a great role in image processing. Inpainting is a technique that helps in recovering lost pixels from an image. From the existing techniques of Inpainting, Exemplar Inpainting is one of the fast and better techniques that help in restoring the lost part of an image. Exemplar based method chooses a patch similar to the lost patch from the known area to fill...

Studies done with academic CC-NUMA machines and simulators indicate a good potential for application performance. Our goal therefore, is to investigate whether the CONVEX Exemplar, a commercial distributed shared memory machine, lives up to the expected potential of CCNUMA machines. If not, we would like to understand what architectural or implementation decisions make it less efficient. On eva...

Do children acquire rules for main stress assignment or do they learn stress in an exemplar-based way? In the language acquisition literature, the former approach has been advocated without exception: although they hear most words produced with their appropriate stress pattern, children are taken to extract rules and do not store stress patterns lexically. The evidence for a rule-based approach...

Subjects learned to classify perceptual stimuli varying along continuous, separable dimensions into rule-described categories. The categories were designed to contrast the predictions of a selective-attention exemplar model and a simple rule-based model formalizing an economy-of-description view. Converging evidence about categorization strategies was obtained by also collecting identification ...

Image inpainting refers to the task of filling in the missing or damaged regions of an image in an undetectable manner. Many researchers have proposed a large variety of exemplar based image inpainting algorithms to restore the structure and texture of damaged images. However no recent study has been undertaken for a comparative evaluation of these algorithms. In this paper, we are comparing va...

Recovering lost part of an image plays a great role in image processing. Inpainting is a technique that helps in recovering lost pixels from an image. From the existing techniques of Inpainting, Exemplar Inpainting is one of the fast and better techniques that help in restoring the lost part of an image. Exemplar based method chooses a patch similar to the lost patch from the known area to fill...

A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. In the past, this problem has been addressed by two classes of algorithms: (i) “texture synthesis” algorithms for generating large image regions from sample textures, and (ii) “inpainting” techniques for filling in small image gaps. Th...