and asymptotically consistent Monte Carlo method for such problems. We illustrate the method with examples from image … segmentation and social network modeling. We study as well the asymptotic behavior of the algorithm and obtain a strong law of …

-structured data. The results of a number of experiments on range image segmentation and fundamental matrix estimation problems are …

In this paper, we improve Lee–Seo’ bimodal image segmentation model using a regularization term. This regularization …

Image segmentation is an important component in image processing, pattern recognition and computer vision. Many … image segmentation. A new operation, α-mean operation, is proposed to reduce the set indeterminacy. An improved fuzzy c … having different gray levels and complex objects, which is the most difficult task for image segmentation. …

processes, the image segmentation and grid generation. We introduce differential equation systems, developed combination of …

The problem of image segmentation can be formulated as one of vector quantization. Although self-organizing networks … inadequate for image segmentation. This paper proposes and describes a hierarchical self-organizing neural network for image …-organizing feature map (SOFM) is seen to alleviate the shortcomings of the latter in the context of image segmentation. The problem of …