Search results for "Intelligence"

Development of Methods for the Classification of EVOOs According to Their Genetic Variety

2012

The aim of this work was to construct an LDA model able to classify EVOOs according to their genetic variety by using FTIR data.

The Development of a Computer Science Dictionary, or How to Help Translate the Untranslatable

2006

John Dewey’s notion of social intelligence

2019

This chapter focuses on Deweyan understanding of intelligence as fundamentally social. This understanding differs from the common conceptions of intelligence as a feature of an isolated individual and/or as a possession of an elite. Starting with a look at the relevance of reconceptualizing intelligence, the chapter continues by describing how, according to Dewey’s theory, intelligence forms, manifests and cumulates in interactions. It then discusses the presumable implications of Dewey’s theory in terms of the contextuality of intelligent action, the importance of taking relevant experience-based information into account, the use of a particular method of inquiry, and modification of educa…

Combining Haar Wavelet and Karhunen Loeve Transforms for Medical Images Watermarking

2014

This paper presents a novel watermarking method, applied to the medical imaging domain, used to embed the patient’s data into the corresponding image or set of images used for the diagnosis. The main objective behind the proposed technique is to perform the watermarking of the medical images in such a way that the three main attributes of the hidden information (i.e., imperceptibility, robustness, and integration rate) can be jointly ameliorated as much as possible. These attributes determine the effectiveness of the watermark, resistance to external attacks, and increase the integration rate. In order to improve the robustness, a combination of the characteristics of Discrete Wavelet and K…

Fast nosological imaging using canonical correlation analysis of brain data obtained by two-dimensional turbo spectroscopic imaging.

2007

A new fast and accurate tissue typing technique has recently been successfully applied to prostate MR spectroscopic imaging (MRSI) data. This technique is based on canonical correlation analysis (CCA), a statistical method able to simultaneously exploit the spectral and spatial information characterizing the MRSI data. Here, the performance of CCA is further investigated by using brain data obtained by two-dimensional turbo spectroscopic imaging (2DTSI) from patients affected by glioblastoma. The purpose of this study is to investigate the applicability of CCA when typing tissues of heterogeneous tumors. The performance of CCA is also compared with that of ordinary correlation analysis on s…

Taking the Biographical approach seriously – what does it mean for the concept of biographicity?

2018

The article starts from the dialectic relationship between “the biographicity of the social” and “the sociality of the biographical” – a relationship especially underlined in the works of Bettina Dausien (e.g. 2006). Starting from here, we have not only to look at “what” is reconstructed here, but also “how” this reconstruction is presented . By this, the complex powerful social processes of “addressing” and “being addressed” come into the center of interest (Rose/Ricken, 2018:). Addressing and the way people let themselves “being addressed” (Althusser) – if and how they let themselves being addressed – this question opens up for processes of subjectivation, as has been conceptualized by Ju…

Hidden Markov random field model and Broyden–Fletcher–Goldfarb–Shanno algorithm for brain image segmentation

2018

International audience; Many routine medical examinations produce images of patients suffering from various pathologies. With the huge number of medical images, the manual analysis and interpretation became a tedious task. Thus, automatic image segmentation became essential for diagnosis assistance. Segmentation consists in dividing the image into homogeneous and significant regions. We focus on hidden Markov random fields referred to as HMRF to model the problem of segmentation. This modelisation leads to a classical function minimisation problem. Broyden-Fletcher-Goldfarb-Shanno algorithm referred to as BFGS is one of the most powerful methods to solve unconstrained optimisation problem. …

On the terminology of voice research

1993

Summary This article reviews problems associated with establishment of a scientifically accurate, internationally recognized, multilingual terminology to describe voice. Two strategies for developing terminology are discussed: consensus and dictation. Ontological decisions are considered an integral part of developing terminology. We conclude that terminological problems should be solved by a terminological committee—as yet to be established—as they average from problems in interpreting the literature and the results of voice research. A comprehensive bibliography and audio tape of the multilingual terminology describing voice would help facilitate adaptation and understanding of the terms …

Multi-level contrast filtering in image difference metrics

2013

In this paper, we present a new metric to estimate the perceived difference in contrast between an original image and a reproduction. This metric, named weighted-level framework Δ E E (WLF-DEE), implements a multilevel filtering based on the difference of Gaussians model proposed by Tadmor and Tolhurst (2000) and the new Euclidean color difference formula in log-compressed OSA-UCS space proposed by Oleari et al. (2009). Extensive tests and analysis are presented on four different categories belonging to the well-known Tampere Image Database and on two databases developed at our institution, providing different distortions directly related to color and contrast. Comparisons in performance wi…

Conformation constraints for efficient viscoelastic fluid simulation

2017

The simulation of high viscoelasticity poses important computational challenges. One is the difficulty to robustly measure strain and its derivatives in a medium without permanent structure. Another is the high stiffness of the governing differential equations. Solutions that tackle these challenges exist, but they are computationally slow. We propose a constraint-based model of viscoelasticity that enables efficient simulation of highly viscous and viscoelastic phenomena. Our model reformulates, in a constraint-based fashion, a constitutive model of viscoelasticity for polymeric fluids, which defines simple governing equations for a conformation tensor. The model can represent a diverse pa…