Search results for " recognition."

Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition

2016

Optimizing Query Perturbations to Enhance Shape Retrieval

2020

3D Shape retrieval algorithms use shape descriptors to identify shapes in a database that are the most similar to a given key shape, called the query. Many shape descriptors are known but none is perfect. Therefore, the common approach in building 3D Shape retrieval tools is to combine several descriptors with some fusion rule. This article proposes an orthogonal approach. The query is improved with a Genetic Algorithm. The latter makes evolve a population of perturbed copies of the query, called clones. The best clone is the closest to its closest shapes in the database, for a given shape descriptor. Experimental results show that improving the query also improves the precision and complet…

Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures

2020

Recent neuroimaging evidence suggest that there exists a unique individual-specific functional connectivity (FC) pattern consistent across tasks. The objective of our study is to utilize FC patterns to identify an individual using a supervised machine learning approach. To this end, we use two previously published data sets that comprises resting-state and task-based fMRI responses. We use static FC measures as input to a linear classifier to evaluate its performance. We additionally extend this analysis to capture dynamic FC using two approaches: the common sliding window approach and the more recent phase synchrony-based measure. We found that the classification models using dynamic FC pa…

An Efficient Cooperative Smearing Technique for Degraded Historical Documents Images Segmentation

2020

Segmentation is one of the critical steps in historical document image analysis systems that determines the quality of the search, understanding, recognition and interpretation processes. It allows isolating the objects to be considered and separating the regions of interest (paragraphs, lines, words and characters) from other entities (figures, graphs, tables, etc.). This stage follows the thresholding, which aims to improve the quality of the document and to extract its background from its foreground, also for detecting and correcting the skew that leads to redress the document. Here, a hybrid method is proposed in order to locate words and characters in both handwritten and printed docu…

Prevalence os sending, receiving and forwarding sexts among youths: A three-level meta-analysis.

2020

Alttes ajuts: Conselleria d'Educació, Investigació, Cultura i Esport DOGV No. 7943, ACIF, 837 2017 By systematic review with a three-level, mixed-effects meta-analysis, this paper examines the prevalence of sexting experiences among youths aimed at analyzing conceptual and methodological moderators that might explain its heterogeneity. A search was conducted of five bibliographic databases and grey literature up until February 2020. The risk of bias in primary studies was assessed. A total of seventy-nine articles met the set inclusion criteria. Mean prevalences for sending, receiving and forwarding sexts were.14 (95% CI:.12,.17),.31 (95% CI:.26,.36) and.07 (95% CI:.05,.09), respectively, e…

Testosterone and attention deficits as possible mechanisms underlying impaired emotion recognition in intimate partner violence perpetrators

2016

Several studies have reported impairments in decoding emotional facial expressions in intimate partner violence (IPV) perpetrators. However, the mechanisms that underlie these impaired skills are not well known. Given this gap in the literature, we aimed to establish whether IPV perpetrators (n = 18) differ in their emotion decoding process, attentional skills, and testosterone (T), cortisol (C) levels and T/C ratio in comparison with controls (n = 20), and also to examine the moderating role of the group and hormonal parameters in the relationship between attention skills and the emotion decoding process. Our results demonstrated that IPV perpetrators showed poorer emotion recognition and …

What represents a face? A computational approach for the integration of physiological and psychological data.

1997

Empirical studies of face recognition suggest that faces might be stored in memory by means of a few canonical representations. The nature of these canonical representations is, however, unclear. Although psychological data show a three-quarter-view advantage, physiological studies suggest profile and frontal views are stored in memory. A computational approach to reconcile these findings is proposed. The pattern of results obtained when different views, or combinations of views, are used as the internal representation of a two-stage identification network consisting of an autoassociative memory followed by a radial-basis-function network are compared. Results show that (i) a frontal and a…

Mass data gathering and surveillance: the fight against facial recognition technology in the globalized world

2020

The growing use of facial recognition technologies has put them under the regulatory spotlight all around the world. The EU considers to regulate facial regulation technologies as a part of initiative of creating ethical and legal framework for trustworthy artificial intelligence. These technologies are attracting attention of the EU data protection authorities, e.g. in Sweden and the UK. In May, San Francisco was the first city in the US to ban police and other government agencies from using facial recognition technology, soon followed by other US cities. The paper aims to analyze the impact of facial recognition technology on the fundamental rights and values as well as the development of…

Education and the Theory of Recognition: interview with Axel Honneth

2017

Entrevista a Axel Honneth.

ΔP as a measure of collocation strength

2018

AbstractThis paper explores the proposed benefits of ΔP (delta P) as a measure of collocation strength. Its focus is on contrasting ΔP with other, more commonly used, association measures, particularly transitional probabilities, but also mutual information and Lexical Gravity G. To this end, first the strong correlation between ΔP and transitional probability is illustrated with the help of two exemplary corpora. This is followed by an analysis of hesitation placement in spontaneous spoken English, based on the assumption that hesitations will not be placed within strong collocations. Results show that, despite their strong similarity, in some contexts ΔP is more predictive of hesitation p…