Search results for "RIMI"

Does signal detection methodology allow to measure discrimination, but not pain?

1979

Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins

2008

The detection of rotten citrus in packing lines is carried out manually under ultraviolet illumination, which is dangerous for workers. Light emitted by the rotten region of the fruit due to the ultraviolet-induced fluorescence is used by the operator to detect the damages. This procedure is required because the low contrast between the damaged and sound skin under visible illumination difficult their detection. We study a set of techniques aimed to detect rottenness in citrususing visible and near infrared lighting trough an hyperspectral imaging system. Methods for selecting a proper set of wavelengths are investigated such as correlation analysis, mutual information, stepwise or genetic …

Image Recognition through Incremental Discriminative Common Vectors

2010

An incremental approach to the discriminative common vector (DCV) method for image recognition is presented. Two different but equivalent ways of computing both common vectors and corresponding subspace projections have been considered in the particular context in which new training data becomes available and learned subspaces may need continuous updating. The two algorithms are based on either scatter matrix eigendecomposition or difference subspace orthonormalization as with the original DCV method. The proposed incremental methods keep the same good properties than the original one but with a dramatic decrease in computational burden when used in this kind of dynamic scenario. Extensive …

Mining Interpretable Rules for Sentiment and Semantic Relation Analysis Using Tsetlin Machines

2020

Tsetlin Machines (TMs) are an interpretable pattern recognition approach that captures patterns with high discriminative power from data. Patterns are represented as conjunctive clauses in propositional logic, produced using bandit-learning in the form of Tsetlin Automata. In this work, we propose a TM-based approach to two common Natural Language Processing (NLP) tasks, viz. Sentiment Analysis and Semantic Relation Categorization. By performing frequent itemset mining on the patterns produced, we show that they follow existing expert-verified rule-sets or lexicons. Further, our comparison with other widely used machine learning techniques indicates that the TM approach helps maintain inter…

Coarse to fine : toward an intelligent 3D acquisition system

2015

International audience; The 3D acquisition-compression-processing chain is , most of the time , sequenced into independent stages. As resulting , a large amount of 3D points are acquired whatever the geometry of the object and the processing to be done in further steps. It appears , particularly in mechanical part 3D modeling and in CAD , that the acquisition of such an amount of data is not always mandatory. We propose a method aiming at minimizing the number of 3D points to be acquired with respect to the local geometry of the part and therefore to compress the cloud of points during the acquisition stage. The method we propose is based on a new coarse to fine approach in which from a coa…

A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data …

2013

Abstract Background Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from statistics to computer science. Following Handl et al., it can be summarized as a three step process: (1) choice of a distance function; (2) choice of a clustering algorithm; (3) choice of a validation method. Although such a purist approach to clustering is hardly seen in many areas of science, genomic data require that level of attention, if inferences made from cluster analysis have to be of some relevance to biomedical research. Results A procedure is proposed for the assessment of the discriminative ability of a distance functi…

Interactive Pansharpening and Active Classification in Remote Sensing

2013

This chapter presents two multimodal prototypes for remote sensing image classification where user interaction is an important part of the system. The first one applies pansharpening techniques to fuse a panchromatic image and a multispectral image of the same scene to obtain a high resolution (HR) multispectral image. Once the HR image has been classified the user can interact with the system to select a class of interest. The pansharpening parameters are then modified to increase the system accuracy for the selected class without deteriorating the performance of the classifier on the other classes. The second prototype utilizes Bayesian modeling and inference to implement active learning …

Social Interaction Technologies

2010

This chapter explores a relationship between social interaction technologies (SIT) and guanxi, a major Chinese informal style of networking, in the context of the careers of women managers in the information technology (IT) field in China. Addressing women’s under-representation in non-traditional occupations (such as IT), prior research has established that networking, especially informal, is an important career management tool for women. Recent advances in social capital theory and social network analysis provide a framework for understanding the role of social processes in achieving career success. Today, the growing web-based social and professional networking in China weighs against th…

Les victimes, des oubliées de l'histoire ?

2000

International audience

Desarrollo y evaluación psicométrica de una forma abreviada de la escala de posicionamiento ante el diagnóstico enfermero

2013

El Position on Nursing Diagnosis (PND) es una escala que utiliza la técnica del diferencial semántico para medir las actitudes hacia el concepto diagnóstico enfermero. El estudio objetivó desarrollar una forma abreviada de la versión española de esta escala, evaluar sus propiedades psicométricas y eficiencia. Se utilizó un doble enfoque empírico-teórico para obtener una forma reducida del PND, el PND-7-SV, que fuera equivalente a la original. Mediante un diseño transversal a través de encuesta, se evaluó la fiabilidad (consistencia interna y fiabilidad test-retest), validez de constructo (análisis factorial exploratorio, técnica de grupos conocidos y validez discriminante) y de criterio (va…