Search results for " recognition"

Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data

2018

Life course data often consists of multiple parallel sequences, one for each life domain of interest. Multichannel sequence analysis has been used for computing pairwise dissimilarities and finding clusters in this type of multichannel (or multidimensional) sequence data. Describing and visualizing such data is, however, often challenging. We propose an approach for compressing, interpreting, and visualizing the information within multichannel sequences by finding (1) groups of similar trajectories and (2) similar phases within trajectories belonging to the same group. For these tasks we combine multichannel sequence analysis and hidden Markov modelling. We illustrate this approach with an …

Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images

2022

Abstract Purpose Training deep neural networks usually require a large number of human-annotated data. For organ segmentation from volumetric medical images, human annotation is tedious and inefficient. To save human labour and to accelerate the training process, the strategy of annotation by iterative deep learning recently becomes popular in the research community. However, due to the lack of domain knowledge or efficient human-interaction tools, the current AID methods still suffer from long training time and high annotation burden. Methods We develop a contour-based annotation by iterative deep learning (AID) algorithm which uses boundary representation instead of voxel labels to incorp…

Glottal Source Features for Automatic Speech-Based Depression Assessment

2017

Depression is one of the most prominent mental disorders, with an increasing rate that makes it the fourth cause of disability worldwide. The field of automated depression assessment has emerged to aid clinicians in the form of a decision support system. Such a system could assist as a pre-screening tool, or even for monitoring high risk populations. Related work most commonly involves multimodal approaches, typically combining audio and visual signals to identify depression presence and/or severity. The current study explores categorical assessment of depression using audio features alone. Specifically, since depression-related vocal characteristics impact the glottal source signal, we exa…

Dynamics of brain activation during learning of syllable-symbol paired associations.

2019

| openaire: EC/H2020/641652/EU//ChildBrain Initial stages of reading acquisition require the learning of letter and speech sound combinations. While the long-term effects of audio-visual learning are rather well studied, relatively little is known about the short-term learning effects at the brain level. Here we examined the cortical dynamics of short-term learning using magnetoencephalography (MEG) and electroencephalography (EEG) in two experiments that respectively addressed active and passive learning of the association between shown symbols and heard syllables. In experiment 1, learning was based on feedback provided after each trial. The learning of the audio-visual associations was c…

Music mood annotation using semantic computing and machine learning

2015

Brief psychological intervention for depression : an ERP study

2009

From art after Auschwitz towards a sociology of disrespect of Buchenwald

2017

The aesthetic works of the Frankfurt School receive little attention by contemporary sociology. However, the article shows the relevance of aesthetic theory for a critical understanding of the social world. Therefore, we introduce the contradictions presented by critical theory of society especially after Auschwitz and we ask ourselves about how to conceive the inconceivable when the tools of Enlightenment are intrinsically guilty. Finally, we propose a mosaic of aesthetic sociology of disrespect as an option to overcome the paradoxes of Auschwitz. This procedure is related to the artistic production around the concentration camp of Buchenwald.

Does orthographic processing emerge rapidly after learning a new script?

2021

Epub 2020 Aug 11 Orthographic processing is characterized by location-invariant and location-specific processing (Grainger, 2018): (1) strings of letters are more vulnerable to transposition effects than the strings of symbols in same-different tasks (location-invariant processing); and (2) strings of letters, but not strings of symbols, show an initial position advantage in target-in-string identification tasks (location-specific processing). To examine the emergence of these two markers of orthographic processing, we conducted a same-different task and a target-in-string identification task with two unfamiliar scripts (pre-training experiments). Across six training sessions, participants …

E-Fairs: a Cyber-Physical System for Aggregation and Economy of Scale in e-Commerce

2018

In recent years, the e-commerce arena has deeply changed because of the advent of new business models and the growing weight of huge global actors like Amazon. Some business models create competition between users, and the product price tends to rise (e.g., online auctions); other models, including group-buying, make users cooperate, and the price tends to go down. The present study extends the group-buying model and proposes a cyber-physical system called e-fair, in which both sellers and buyers are grouped to negotiate on a specific product or service. E-fairs minimize the global purchase price and the shipping resources respectively with the aggregation of demand and supply as well as or…

A Narrative of the AESOP Quality Recognition Programme in the Field of Planning Education

2017

The article proposes a reflection about the Coordination of planning curricula, quality assur­ ance and accreditation processes promoved by AESOP, on the principle of cooperation and mutual bene ts. On the occasion of several debates at the Heads of Schools meetings, it became clear that, in addition to the existing framework of the AESOP Core Curriculum, a further active implication was needed in order to enhance, improve and support planning curricula and programmes, especially in a time of crisis. Infact, coordination of planning courses and their quality recognition had (and still have) to be considered in a cooperative approach, rather than in a competitive one: an ap­ proach to be bas…