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In a world where security issues have been gaining growing importance, face recognition systems have attracted increasing attention in multiple application areas, ranging from forensics and surveillance to commerce and entertainment. To…

Computer Vision and Pattern Recognition · Computer Science 2019-01-04 Alireza Sepas-Moghaddam , Fernando Pereira , Paulo Lobato Correia

Entomologists, ecologists and others struggle to rapidly and accurately identify the species of bumble bees they encounter in their field work and research. The current process requires the bees to be mounted, then physically shipped to a…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Venkat Margapuri , George Lavezzi , Robert Stewart , Dan Wagner

Despite the common misconception of nearly static organisms, plants do interact continuously with the environment and with each other. It is fair to assume that during their evolution they developed particular features to overcome problems…

Populations and Evolution · Quantitative Biology 2016-02-19 Gianna Vivaldo , Elisa Masi , Camilla Pandolfi , Stefano Mancuso , Guido Caldarelli

A conflict exists between field biologists and physiologists ("functional biologists" or "evolutionary ecologists") on the one hand and those working in molecular evolution ("evolutionary biologists" or "population geneticists") on the…

Populations and Evolution · Quantitative Biology 2018-04-02 George F R Ellis

Cells segmentation shows rapid growth in biology. Indeed, using the classical segmentation methods only is not enough to segment this type of images. In this manuscript, we will present a new method of ribosomes segmentation. A…

Image and Video Processing · Electrical Eng. & Systems 2021-01-14 Mariam El Oussini

Water quality has a direct impact on industry, agriculture, and public health. Algae species are common indicators of water quality. It is because algal communities are sensitive to changes in their habitats, giving valuable knowledge on…

Computer Vision and Pattern Recognition · Computer Science 2022-03-24 Peisheng Qian , Ziyuan Zhao , Haobing Liu , Yingcai Wang , Yu Peng , Sheng Hu , Jing Zhang , Yue Deng , Zeng Zeng

In the real world, most objects and data have multiple types of attributes and inter-connections. Such data structures are named "Heterogeneous Information Networks" (HIN) and have been widely researched. Biological systems are also…

Molecular Networks · Quantitative Biology 2017-12-27 Koki Tsuyuzaki , Itoshi Nikaido

Recent methodological advances are enabling better examination of speciation and extinction processes and patterns. A major open question is the origin of large discrepancies in species number between groups of the same age. Existing…

Populations and Evolution · Quantitative Biology 2015-09-01 Sacha Laurent , Marc Robinson-Rechavi , Nicolas Salamin

There are a least uncountably many diffeomorphism types for open manifolds. Hence the classification problem is extremely difficult. We proceed as follows: We define several uniform structures of proper metric spaces and consider their arc…

Differential Geometry · Mathematics 2007-05-23 Juergen Eichhorn

The universe is composed of galaxies that have diverse shapes. Once the structure of a galaxy is determined, it is possible to obtain important information about its formation and evolution. Morphologically classifying galaxies means…

Astrophysics of Galaxies · Physics 2026-04-23 N. M. Cardoso , G. B. O. Schwarz , L. O. Dias , C. R. Bom , L. Sodré , C. Mendes de Oliveira

Phylogeny is the study of the relations between biological entities. From it, the need to compare tree-like graphs has risen and several metrics were established and researched, but since there is no definitive way to compare them, its…

Data Structures and Algorithms · Computer Science 2018-04-12 Bernardo Lopo Tavares

Large scale databases are available that contain homologous gene families constructed from hundreds of complete genome sequences from across the three domains of Life. Here we discuss approches of increasing complexity aimed at extracting…

Genomics · Quantitative Biology 2011-02-14 Gergely J Szöllősi , Vincent Daubin

This review provides an overview of the literature on the edge detection methods for pattern recognition that inspire from the understanding of human vision. We note that edge detection is one of the most fundamental process within the low…

Computer Vision and Pattern Recognition · Computer Science 2016-02-16 Alex Pappachen James

Within food webs, species can be partitioned into groups according to various criteria. Two notions have received particular attention: trophic groups, which have been used for decades in the ecological literature, and more recently,…

Populations and Evolution · Quantitative Biology 2015-04-14 Benoit Gauzens , Elisa Thébault , Gérard Lacroix , Stéphane Legendre

Cellular heterogeneity is an immanent property of biological systems that covers very different aspects of life ranging from genetic diversity to cell-to-cell variability driven by stochastic molecular interactions, and noise induced cell…

Quantitative Methods · Quantitative Biology 2021-09-15 Niko Komin , Alexander Skupin

The biological world, especially its majority microbial component, is strongly interacting and may be dominated by collective effects. In this review, we provide a brief introduction for statistical physicists of the way in which living…

Populations and Evolution · Quantitative Biology 2015-05-20 Nicholas Chia , Nigel Goldenfeld

This paper compares classical parametric methods with recently developed Bayesian methods for system identification. A Full Bayes solution is considered together with one of the standard approximations based on the Empirical Bayes paradigm.…

Machine Learning · Statistics 2015-07-03 D. Romeres , G. Prando , G. Pillonetto , A. Chiuso

Attribute recognition is a crucial but challenging task due to viewpoint changes, illumination variations and appearance diversities, etc. Most of previous work only consider the attribute-level feature embedding, which might perform poorly…

Computer Vision and Pattern Recognition · Computer Science 2020-05-26 Jie Yang , Jiarou Fan , Yiru Wang , Yige Wang , Weihao Gan , Lin Liu , Wei Wu

Automatic identification of plant specimens from amateur photographs could improve species range maps, thus supporting ecosystems research as well as conservation efforts. However, classifying plant specimens based on image data alone is…

Computer Vision and Pattern Recognition · Computer Science 2021-10-06 Riccardo de Lutio , Yihang She , Stefano D'Aronco , Stefania Russo , Philipp Brun , Jan D. Wegner , Konrad Schindler

Automated recognition and classification of bacteria species from microscopic images have significant importance in clinical microbiology. Bacteria classification is usually carried out manually by biologists using different shapes and…

Quantitative Methods · Quantitative Biology 2019-12-19 Muhammed Talo