Search results for "RECOGNITION"

Design of a customized pattern for improving color constancy across camera and illumination changes

2010

International audience; This paper adresses the problem of color constancy on a large image database acquired with varying digital cameras and lighting conditions. Automatic white balance control proposed by an available commercial camera is not sufficient to provide reproducible color classification. A device-independent color representation may be obtained by applying a chromatic adaptation transform, from a calibrated color checker pattern included in the field of view. Instead of using the standard Macbeth color checker, we suggest to select judicious colors to design a customized pattern from contextual information. A comparative study demonstrates that this approach insures a stronger…

Recognition and Civic Selection

2021

Large-scale immigration and the refugee crisis have caused many states to adapt ever stricter civic selection processes. This paper discusses the challenges arising from civic selection from the perspective of recognition theories. The argument is that recognition theories provide good conceptual tools with which to critically analyze civic selection and immigration. However, the paper also aims to highlight that many current institutional practices are problematic from the perspective of recognition. In the context of civic selection, it is helpful to understand recognition as something that comes in two analytically distinct modes: horizontal (or interpersonal) and vertical (or institutio…

Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistic…

2008

Abstract Background Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analysis and Classification, in particular with regard to the prediction of the number of clusters in a dataset, usually established via internal validation measures. Despite the wealth of internal measures available in the literature, new ones have been recently proposed, some of them specifically for microarray data. Results We consider five such measures: Clest, Consensus (Consensus Clustering), FOM (Figure of Merit), Gap (Gap Statistics) and ME (Model Explorer), in addition to the classic WCSS (Within Cluster…

How Literacy Shapes Orthographic Processing

2022

La lectura es una habilidad indispensable en nuestra sociedad. Sin ella, no podríamos acceder a la historia, o aprender de nuestros avances y retrocesos. Resulta casi milagroso que el Homo sapiens hiciera unas marcas en una piedra para aumentar drásticamente su capacidad de memoria. Estas marcas en la piedra, que serían lo que ahora llamamos letras, se convirtieron en herramientas. Herramientas que alteran la maquinaria cerebral para conectar las formas visuales con un significado, es decir, para sustentar la lectura. Hoy en día, la lectura es parte de nuestra vida cotidiana hasta tal punto que no nos damos cuenta de su complejidad. Cuando leemos, nuestros ojos saltan de palabra a palabra, …

A Non-Local Mode-I Cohesive Model for Ascending Thoracic Aorta Dissections (ATAD)

2018

This paper presents a non-local interface mechanical model to describe aortic dissection. In this regard, the mode-I debonding problem based on a cohesive zone modeling is endowed with non-local terms to include long-range interactions that are present in multi-layered biological tissue. Such non-local effects are related to the collagen fibers that transmit forces between non-adjacent elements. Numerical simulations are provided with different values of the non-local parameters in order to show the effect of the non-locality during the debonding processes.

Pathologies of Collective Recognition

2015

Applying fully tensorial ICA to fMRI data

2016

There are two aspects in functional magnetic resonance imaging (fMRI) data that make them awkward to analyse with traditional multivariate methods - high order and high dimension. The first of these refers to the tensorial nature of observations as array-valued elements instead of vectors. Although this can be circumvented by vectorizing the array, doing so simultaneously loses all the structural information in the original observations. The second aspect refers to the high dimensionality along each dimension making the concept of dimension reduction a valuable tool in the processing of fMRI data. Different methods of tensor dimension reduction are currently gaining popUlarity in literature…

One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals

2021

Deep learning for the automated detection of epileptic seizures has received much attention during recent years. In this work, one dimensional convolutional neural network (1D-CNN) and two dimensional convolutional neural network (2D-CNN) are simultaneously used on electroencephalogram (EEG) data for seizure detection. Firstly, using sliding windows without overlap on raw EEG to obtain the definite one-dimension time EEG segments (1D-T), and continuous wavelet transform (CWT) for 1D-T signals to obtain the two-dimension time-frequency representations (2D-TF). Then, 1D-CNN and 2D-CNN model architectures are used on 1D-T and 2D-TF signals for automatic classification, respectively. Finally, t…

Effects of Grammatical Structure of Compound Words on Word Recognition in Chinese

2018

Two lexical priming experiments were conducted to examine effects of grammatical structure of Chinese two-constituent compounds on their recognition. The target compound words conformed to two types of grammatical structure: subordinate and coordinative compounds. Subordinate compounds follow a structure where the first constituent modifies the second constituent (e.g., , meaning snowball); here the meaning of the second constituent (head) is modified by the first constituent (modifier). On the other hand, in coordinative compounds both constituents contribute equally to the word meaning (e.g., , wind and rain, meaning storm where the two constituent equally contribute to the word meaning).…

Recognition as Generative Movement. Axel Honneth between Structure of the Self and Second Nature

2021

Il lavoro affronta tematicamente il paradigma del riconoscimento di Axel Honneth attraverso quattro opere principali — Kampf um Anerkennung, Verdinglichung, Das Recht der Freiheit e Anerkennung. Lo scopo principale è quello di distillare i diversi concetti di riconoscimento messi in campo da Honneth, pur mantenendo l'analisi all'interno dell'orizzonte di matrice francofortese, con le sue necessarie implicazioni antropologiche e filosofico-sociali. A una prima parte storico-filosofica segue un ultimo capitolo in cui i diversi concetti di riconoscimento vengono confrontati con la proposta di Hegel, elaborata nella sezione sulla moralità nella Fenomenologia dello spirito. The work thematically…