Results 31 to 40 of about 2,681 (242)

Future or Movement? The L2 Acquisition of Aller + V Forms

open access: yesLanguages, 2021
This study aims to advance the understanding of the impact of the discursive context in the form-function mappings of aller + V forms by native speakers (NSs) and learners of French (NNSs), and to further knowledge about the developmental patterns of use
Pascale Leclercq
doaj   +1 more source

Space oddity: musical syntax is mapped onto visual space

open access: yesScientific Reports, 2021
Increasing evidence has uncovered associations between the cognition of abstract schemas and spatial perception. Here we examine such associations for Western musical syntax, tonality.
Neta B. Maimon   +2 more
doaj   +1 more source

Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection

open access: yesCoRR, 2022
High-definition (HD) map change detection is the task of determining when sensor data and map data are no longer in agreement with one another due to real-world changes. We collect the first dataset for the task, which we entitle the Trust, but Verify (TbV) dataset, by mining thousands of hours of data from over 9 months of autonomous vehicle fleet ...
John Lambert, James Hays
openaire   +3 more sources

3D multiplexed tissue imaging reconstruction and optimized region of interest (ROI) selection through deep learning model of channels embedding

open access: yesFrontiers in Bioinformatics, 2023
Introduction: Tissue-based sampling and diagnosis are defined as the extraction of information from certain limited spaces and its diagnostic significance of a certain object. Pathologists deal with issues related to tumor heterogeneity since analyzing a
Erik Burlingame   +10 more
doaj   +1 more source

Visual‐Haptic Mapping and the Origin of Cross‐Modal Identity [PDF]

open access: yesOptometry and Vision Science, 2009
ABSTRACT We found that congenitally blind people who gain sight initially fail to identify seen objects with their felt versions: a negative answer to the Molyneux question. However, they succeed in doing so after a few days of sight.
openaire   +2 more sources

Induction Mechanism of Auditory-Assisted Vision for Target Search Localization in Mixed Reality (MR) Environments

open access: yesAerospace, 2022
In MR (mixed reality) environments, visual searches are often used for search and localization missions. There are some problems with search and localization technologies, such as a limited field of view and information overload.
Wei Wang   +4 more
doaj   +1 more source

Augmented reality flavor: cross-modal mapping across gustation, olfaction, and vision [PDF]

open access: yesMultimedia Tools and Applications, 2021
AbstractGustatory display research is still in its infancy despite being one of the essential everyday senses that human practice while eating and drinking. Indeed, the most important and frequent tasks that our brain deals with every day are foraging and feeding.
Osama Halabi, Mohammad Saleh
openaire   +4 more sources

Learning Spoken Words via the Ears and Eyes: Evidence from 30-Month-Old Children

open access: yesFrontiers in Psychology, 2017
From the very first moments of their lives, infants are able to link specific movements of the visual articulators to auditory speech signals. However, recent evidence indicates that infants focus primarily on auditory speech signals when learning new ...
Mélanie Havy, Pascal Zesiger
doaj   +1 more source

Testing geometry and 3D perception in children following vision restoring cataract-removal surgery

open access: yesFrontiers in Neuroscience, 2023
As neuroscience and rehabilitative techniques advance, age-old questions concerning the visual experience of those who gain sight after blindness, once thought to be philosophical alone, take center stage and become the target for scientific inquiries ...
Amber Maimon   +5 more
doaj   +1 more source

Deep Latent Space Learning for Cross-Modal Mapping of Audio and Visual Signals [PDF]

open access: yes2019 Digital Image Computing: Techniques and Applications (DICTA), 2019
We propose a novel deep training algorithm for joint representation of audio and visual information which consists of a single stream network (SSNet) coupled with a novel loss function to learn a shared deep latent space representation of multimodal information.
Shah Nawaz   +4 more
openaire   +2 more sources

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