Search results for "Pattern"

A Method Based on Multi-source Feature Detection for Counting People in Crowded Areas

2019

We propose a crowd counting method for multisource feature fusion. Image features are extracted from multiple sources, and the population is estimated by image feature extraction and texture feature analysis, along with for crowd image edge detection. We count people in high-density still images. For instance, in the city’s squares, sports fields, subway stations, etc. Our approach uses a still image taken by a camera on a drone to appraise the count in the population density image, using a kind of sources of information: HOG, LBP, CANNY. We furnish separate estimates of counts and other statistical measurements through several types of sources. Support vector machine SVM, classification an…

Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination

2015

This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive…

Knowledge-building patterns in educational dialogue

2017

This study aimed to examine knowledge-building patterns in Grade 6 educational dialogues. The data consisted of 20 video-recorded lessons from the classes taught by seven teachers, selected by using a latent profile analysis and examined with a qualitative functional analysis of classroom talk. Episodes of educational dialogue were found to represent three main types of knowledge, based on facts, views and experiences. These three types were further identified as forming six diverse knowledge-building patterns in educational dialogues. The findings indicated that factual orientation dominated the Grade 6 lesson dialogues. However, factual knowledge building often occurred with the other two…

Fuzzy-based Kernel Regression Approaches for Free Form Deformation and Elastic Registration of Medical Images

2009

In modern medicine, a largely diffused method for gathering knowledge about organs and tissues is obtained by means of merging information from several datasets. Such data are provided from multimodal or sequential acquisitions. As a consequence, a pre-processing step that is called “image registration” is required to achieve data integration. Image registration aims to obtain the best possible spatial correspondence between misaligned datasets. This procedure is also useful to correct distortions induced by magnetic interferences with the acquisition equipment signals or the ones due patient’s involuntary movements such as heartbeat or breathing. The problem can be regarded as finding the …

Instrumental Odour Monitoring System Classification Performance Optimization by Analysis of Different Pattern-Recognition and Feature Extraction Tech…

2020

Instrumental odour monitoring systems (IOMS) are intelligent electronic sensing tools for which the primary application is the generation of odour metrics that are indicators of odour as perceived by human observers. The quality of the odour sensor signal, the mathematical treatment of the acquired data, and the validation of the correlation of the odour metric are key topics to control in order to ensure a robust and reliable measurement. The research presents and discusses the use of different pattern recognition and feature extraction techniques in the elaboration and effectiveness of the odour classification monitoring model (OCMM). The effect of the rise, intermediate, and peak period …

Temporal Patterns of Rodent Behavior in the Elevated Plus Maze Test

2012

The aim of the present study was to evaluate, by means of a temporal pattern analysis, rat’s behavior in the elevated plus maze test. A specific software called THEME has been used. On the basis of an ethogram encompassing 24 behavioral elements, results demonstrated that 14 components represented the 98% of the displayed activities. 145 different temporal patterns have been detected; length distribution of such patterns showed that three-, four-, and five-elements patterns were more represented than two-elements ones. Finally, a complex temporal pattern encompassing 8 behavioral elements has been discussed. Present article demonstrated the presence of complex temporal patterns characterizi…

Changes in spatial and sectoral patterns of employment in Ile-de-France, 1978-1997

2006

International audience; This paper investigates the spatial distribution of employment in the region of Ile-de-France in 1978 and 1997. Exploratory spatial data analysis is used to identify employment centres and a sectoral analysis of the central business district (CBD) and sub-centres is performed. The results highlight a process of suburbanisation of employment in Ile-de-France between 1978 and 1997. A more polarised space emerges in 1997 than in 1978, with several employment centres specialised in different activities. Moreover, even if the spatial influence of the CBD declines over the study period, the CBD maintains its economic leadership by concentrating a large variety of high-orde…

Distance decay 2.0. A global synthesis of taxonomic and functional turnover in ecological communities

2022

Caio Graco-Roza was funded by the Coordination for the Improvement of Higher Education Personnel (CAPES), the Carlos Chagas Filho Research Support Foundation (FAPERJ) and the Ella and Georg Erhnrooth Foundation; Jan Altman by research grants INTER-EXCELLENCE LTAUSA19137 provided by Czech Ministry of Education, Youth and Sports, 20-05840Y of the Czech Science Foundation, and long-term research development project no. RVO 67985939 of the Czech Academy of Sciences; Otso Ovaskainen was funded by Academy of Finland (grant no. 309581), Jane and Aatos Erkko Foundation, Research Council of Norway through its Centres of Excellence Funding Scheme (223257), and the European Research Council (ERC) unde…

Spatial pattern analysis of esca in different geographical areas of Italy.

2009

Human and animal fascioliasis in andean regions of argentina: lymnaeid vectors and livestock reservoirs

2018

La fascioliasis es una enfermedad parasitaria zoonótica causada en América por Fasciola hepatica. Produce serias pérdidas económicas a la ganadería y es un importante problema en salud pública a nivel mundial. Las más altas prevalencias en humanos se hallan en regiones andinas. La especie de lymnaeido vector involucrada condiciona el escenario epidemiológico. En Argentina existía gran controversia acerca de las especies de lymnaeidos vectores presentes. Además de los bovinos, escasos estudios han considerado el rol que cumplirían otras especies domésticas y silvestres como reservorios. La fascioliasis humana ha sido considerada una enfermedad de escasa relevancia. El objetivo del presente t…