Search results for "Features"

Analysis of Teaching Personal and Social Responsibility model-based programmes applied in USA and Spain

2013

Caballero-Blanco P, Delgado-Noguera, MA, Escarti-Carbonell, A. Analysis of Teaching Personal and Social Responsibility model-based programmes applied in USA and Spain. J. Hum. Sport Exerc. Vol. 8, No. 2, pp. 427-441, 2013. Over the last three decades, several studies have applied Hellison’s Teaching Personal and Social Responsibility (TPSR) model; most of them have generated strong empirical evidences that support that theoretical framework. TPSR is a programme for positive youth development through physical activity. This article compares the different studies that have implemented the TPSR model in the United States and Spain. This paper reviews those researches by analysing their key fea…

noRANSAC for fundamental matrix estimation

2011

The estimation of the fundamental matrix from a set of corresponding points is a relevant topic in epipolar stereo geometry [10]. Due to the high amount of outliers between the matches, RANSAC-based approaches [7, 13, 29] have been used to obtain the fundamental matrix. In this paper two new contributes are presented: a new normalized epipolar error measure which takes into account the shape of the features used as matches [17] and a new strategy to compare fundamental matrices. The proposed error measure gives good results and it does not depend on the image scale. Moreover, the new evaluation strategy describes a valid tool to compare diffe rent RANSAC-based methods because it does not re…

DEVELOPMENT AND IMPLEMENTATION OF MACHINE LEARNING METHODS FOR THE IIF IMAGES ANALYSIS

2021

Probabilistic Corner Detection for Facial Feature Extraction

2009

After more than 35 years of resarch, face processing is considered nowadays as one of the most important application of image analysis. It can be considered as a collection of problems (i.e., face detection, normalization, recognition and so on) each of which can be treated separately. Some face detection and face recognition techniques have reached a certain level of maturity, however facial feature extraction still represents the bottleneck of the entire process. In this paper we present a novel facial feature extraction approach that could be used for normalizing Viola-Jones detected faces and let them be recognized by an appearance-based face recognition method. For each observed featur…

Performance of Fine-Tuning Convolutional Neural Networks for HEp-2 Image Classification

2020

The search for anti-nucleus antibodies (ANA) represents a fundamental step in the diagnosis of autoimmune diseases. The test considered the gold standard for ANA research is indirect immunofluorescence (IIF). The best substrate for ANA detection is provided by Human Epithelial type 2 (HEp-2) cells. The first phase of HEp-2 type image analysis involves the classification of fluorescence intensity in the positive/negative classes. However, the analysis of IIF images is difficult to perform and particularly dependent on the experience of the immunologist. For this reason, the interest of the scientific community in finding relevant technological solutions to the problem has been high. Deep lea…

Robustness Analysis of DCE-MRI-Derived Radiomic Features in Breast Masses: Assessing Quantization Levels and Segmentation Agreement

2022

Featured Application The use of highly robust radiomic features is fundamental to reduce intrinsic dependencies and to provide reliable predictive models. This work presents a study on breast tumor DCE-MRI considering the radiomic feature robustness against the quantization settings and segmentation methods. Machine learning models based on radiomic features allow us to obtain biomarkers that are capable of modeling the disease and that are able to support the clinical routine. Recent studies have shown that it is fundamental that the computed features are robust and reproducible. Although several initiatives to standardize the definition and extraction process of biomarkers are ongoing, th…

The role of physical activity on postural stability and fitness characteristics in pediatric patients with GH deficiency

2019

Purpose: Patients with growth hormone deficiency (GHD) show low fitness levels before GH treatment is started. Muscular strength, flexibility and postural stability are related to health and quality of life. Since it is widely recognized that physical activity increases GH secretion and GH could ameliorate fitness, if a high adherence to treatment is documented (1), the purpose of this study is to investigate any difference on posturographic parameters and muscular features in physically active children with GHD, treated with GH with a high adherence to the treatment, and compared with sedentary pediatric patients. Methods: 13 children (7 males, 6 females) with GHD were enrolled at the Univ…

Keypoint descriptor matching with context-based orientation estimation

2014

Abstract This paper presents a matching strategy to improve the discriminative power of histogram-based keypoint descriptors by constraining the range of allowable dominant orientations according to the context of the scene under observation. This can be done when the descriptor uses a circular grid and quantized orientation steps, by computing or providing a global reference orientation based on the feature matches. The proposed matching strategy is compared with the standard approaches used with the SIFT and GLOH descriptors and the recent rotation invariant MROGH and LIOP descriptors. A new evaluation protocol based on an approximated overlap error is presented to provide an effective an…

GUI Implementation of VCDtools, A Program to Analyze Computed Vibrational Circular Dichroism Spectra

2020

As computing power increases, vibrational circular dichroism (VCD) calculations on molecules of larger sizes and complexities become possible. At the same time, the spectra resulting from these computations become increasingly more cumbersome to analyze. Here, we describe the GUI implementation into the Amsterdam Density Functional (ADF) software package of VCDtools, a toolbox that provides a user-friendly means to analyze VCD spectra. Key features are the use of the generalized coupled oscillator analysis methods, as well as an easy visualization of the atomic electric and magnetic transition dipole moments which together provide detailed insight in the origin of the VCD intensity. Using s…

The advanced use of mobile phones in five European countries

2014

The paper explores the advanced users of mobile phones in Italy, France, Germany, Spain and the UK (EU5 countries) and aims to clarify the social meaning of advanced use. The mobile phone is seen as a strategic tool of social labour, whose capabilities are exploited to a different extent in the five studied countries. The analysis is based on a cross-national survey data collected in 2009 (N = 7,255). First, the results show that there are substantial differences in the advanced use of mobile phone and its predictors in Europe. Generally, only about one third of the studied mobile features are exploited. British and French people are the most advanced users, followed by German, Spanish and …