The presented work investigates process models for participatory spatial decision processes, especially focusing on IT-supported procedures. Results of this work are process patterns according to different classes of problem complexity, accompanied by operational instructions for conducting the procedure, and requirements for the supporting software tools. The aim of this paper is to explain th...

BACKGROUND Empirically derived food purchase patterns provide information about which combinations of foods were purchased from households. The objective of this study was to identify what kinds of patterns exist, which level of diet quality they represent and which factors are associated with the patterns. METHODS The study made use of representative German consumption data in which approxim...

This paper investigates possibilities for application of Kernel based Extreme Learning Machines (K-ELM) to the problem of multiclass image classification. It is combined with Local Binary Pattern (LBP) image descriptor, to reach highly accurate results. LBP is widely used global image descriptor characterized by compactness and robustness to illumination and resolution changes. Classification i...

We investigated whether the topographically organized, category-related patterns of neural response in the ventral visual pathway are a representation of sensory images or a more abstract representation of object form that is not dependent on sensory modality. We used functional MRI to measure patterns of response evoked during visual and tactile recognition of faces and manmade objects in sigh...

The impetus behind this s‌tudy is to discover the aes‌thetic and semantic patterns of the cypress tree and show how this element has been employed by Iranian artis‌ts. The ques‌tion of this research is how a cons‌tant element (the cypress tree) has been transfigured in different Iranian arts. Four categories of miniature, carpet, textile and architecture decoration. The present research is qual...

In this paper, we propose Local Binary Pattern Histogram Fourier features (LBP-HF), a novel rotation invariant image descriptor computed from discrete Fourier transforms of local binary pattern (LBP) histograms. Unlike most other histogram based invariant texture descriptors which normalize rotation locally, the proposed invariants are constructed globally for the whole region to be described. ...

This article summarizes presentations from “Insights and Perspectives on Dietary Modifications to Reduce the Risk of Cardiovascular Disease,” a symposium held at the ASN Annual Meeting and Scientific Sessions in conjunction with Experimental Biology 2014 in San Diego, CA on 26 April 2014. Presenters reviewed historic and current evidence on the relation between diet and cardiovascular disease (...

This paper presents an effective scene classification approach based on collaborative representation fusion of local and global spatial features. First, a visual word codebook is constructed by partitioning an image into dense regions, followed by the typical k -means clustering. A locality-constrained linear coding is employed on dense regions via the visual codebook, and a spatial pyramid mat...

We present a framework for automatic and accurate multiple detection of objects of interest from images using hybrid image descriptors. The proposed framework combines a powerful segmentation algorithm with a hybrid descriptor. The hybrid descriptor is composed by color histograms and several Local Binary Patterns based descriptors. The proposed framework involves two main steps. The first one ...

9 We study the inheritance of path-pairability in the Cartesian product of 10 graphs and prove additive and multiplicative inheritance patterns of path11 pairability, depending on the number of vertices in the Cartesian product. 12 We present path-pairable graph families that improve the known upper 13 bound on the minimal maximum degree of a path-pairable graph. Further 14 results and open que...