Var olanı kayıt altına alan fotoğraf, sözcüklerle anlatılamayanı göstergeler yoluyla ortaya koyar. Görmenin konuşmadan önce geldiğini ileri süren görüşe göre insanın düşünceleri, inançları nesnelere, olaylara bakışını etkiler. Sözcüklerden gelen ve ifade eden görme eylemi ile seçme ayıklama işi yapılır. Görsel bir ürün olan fotoğraflarda bu fotoğrafik gerçekleştirilir. Fotoğrafik görmede, görün...

Abstract The Annual Biosemiotic Achievement Award was established at the annual meeting of International Society for Studies (ISBS) in 2014, conjunction with Springer and Biosemiotics. It seeks to recognize papers published journal that present novel potentially important contributions biosemiotic research, its scientific impact future prospects. Here winner 2020 is announced: award goes Ahti-V...

Preface. Imagery, language, and visuo-spatial thinking: E pluribus unum (Robert H. Logie & Michel Denis) Chapter 1. – The generation, maintenance, and transformation of visuo-spatial mental images (David Pearson, Rossana De Beni, & Cesare Cornoldi) Chapter 2. – Individual differences in visuo-spatial working memory (Tomaso Vecchi, Louise H. Phillips, & Cesare Cornoldi) Chapter 3. – Pictures in ...

Early treatment of palatally erupting maxillary canines by extraction of the primary canines Sune Ericson and Juri Kurol 283 Histologic reactions in gingival and alveolar tissues during tooth movement in rabbits 309 An experimental investigation into the effect of dimensional change on the stiffness of double vertical incisor alignment loops I. D. Brown 319 Long-term results of orthodontic trea...

Aiming at improving the well-known fuzzy compactness and separation algorithm (FCS), this paper proposes a new clustering algorithm based on feature weighting fuzzy compactness and separation (WFCS). In view of the contribution of features to clustering, the proposed algorithm introduces the feature weighting into the objective function. We first formulate the membership and feature weighting, ...

This paper presents a thorough experimental analysis to investigate the behavior of neural network classifier for classification of multispectral satellite images. For this series of experiments have been performed to study the effect of various neural network parameters upon classification accuracy. It is per pixel supervised classification using spectral bands (original feature space). The pa...

The fuzzy c-means algorithm is a soft version of the popular k-means clustering. As is well known, the k-means method begins with an initial set of randomly selected exemplars and iteratively refines this set so as to decrease the sum of squared errors. The k-centers clustering is moderately sensitive to the initial selection of centers, so it is usually rerun many times with different initiali...

Jelen tanulmányban bemutatom a rend?ri eljárásban beszerzend? adatok körét, valamint az adatgy?jtés szabályait, jogszabályi kereteit. A profilalkotás szempontjából kiemelt jelent?sége van kriminalisztikai adatoknak, hiszen e módszer megbízhatósága – többek között beszerzett min?ségén múlik. Így keretek és ajánlások ismerete szükségszer? minden nyomozó profilalkotással foglalkozó elemz? egység s...

Swarm intelligence (SI) is a type of artificial intelligence based on the collective behavior of decentralized, self-organized systems. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. Swarm Intelligence systems are typically made up of a population of simple agents or boids interacting locally with one another and with their envir...

In a genetic screen for mutations affecting organogenesis in the medaka, Oryzias latipes, we identified eight mutants with defects in embryonic hematopoiesis. These mutations were classified into seven complementation groups. In this paper, we characterize the five mutants that were confirmed in the next generation. The beni fuji mutant was defective in the generation of blood cells, exhibiting...