Brain shapes do not necessarily form a continuum in some descriptor space, but may form clusters related to pre-determined genetical factors or acquired diseases. As a feasibility study for introducing a suitable descriptor space, the use of modal analysis was tested on a large brain database acquired in healthy young subjects. Significant shape differences due to gender were found, and intra-g...

This paper introduces a new approach to the uniform practical stability theory of descriptor systems with infinite time delays in terms of two measurements. An easy-to-test criterion of uniform practical stability is given via Lyapunov functionals and Razumikhin technique. Finally, the application of the results obtained is demonstrated through an analysis of a class of descriptor systems with ...

Image matching is a research focus in the field of image processing. The method based on feature matching by researchers alike for Its stable performance. Based on the analysis of the traditional SIFT algorithm, For computationally intensive problems of SIFT feature descriptor links, Proposed a new descriptor generation algorithm. Experimental results show that this method can effectively reduc...

This paper explores the system of categories that is used to classi­ fy articles in Wikipedia. It is compared to collaborative tagging systems like del.icio.us and to hierarchical classification like the Dewey Decimal Classification (DDC). Specifics and common­ alities of these systems of subject indexing are exposed. Analysis of structural and statistical properties (descriptors per record, re...

This paper proposes a novel approach using two-dimensional principal component analysis (2D-PCA) and local direction descriptor for face recognition. The proposed method utilizes the transformed image obtained from local direction descriptor as the direct input image of 2D-PCA algorithms. The performance comparison was performed using principal component analysis (PCA) and Gabor-wavelets based ...

Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for solving several image content analysis tasks. In this work we will use a pLSA model to represent images for performing scene classification. We evaluate the influence of the type of local feature descriptor in this context and co...

In the sequel to [A. Ilchmann and V. Mehrmann, SIAM J. Control Optim., 44 (2005), pp. 1725–1747], we discuss a behavioral approach for linear, time-varying, differential algebraic (descriptor) systems with real analytic coefficients. The analysis is “almost global” in the sense that the analysis is not restricted to an interval I ⊂ R but is allowed for the “time axis” R\T, where T is a discrete...

Four novel color Local Binary Pattern (LBP) descriptors are presented in this chapter for scene image and image texture classification with applications to image search and retrieval. Specifically, the first color LBP descriptor, the oRGB-LBP descriptor, is derived by concatenating the LBP features of the component images in an opponent color space — the oRGB color space. The other three color ...

The aim of the General Shape Analysis (GSA) is to find one or a few most similar general templates for a processed object — exact identification is not performed, but the general shape features are obtained. The GSA approach may be applied for coarse separation of objects in the database prior to their classification or in the case when the data are incomplete or there is a high variability wit...