Results 41 to 50 of about 153,605 (299)

A Universal Model for Cross Modality Mapping by Relational Reasoning

, 2021
With the aim of matching a pair of instances from two different modalities, cross modality mapping has attracted growing attention in the computer vision community. Existing methods usually formulate the mapping function as the similarity measure between the pair of instance features, which are embedded to a common space.
Li, Zun, Lang, Congyan, Liang, Liqian, Wang, Tao, Feng, Songhe, Wu, Jun, Li, Yidong   +6 more
openaire   +2 more sources

Composite Correlation Quantization for Efficient Multimodal Retrieval

, 2016
Efficient similarity retrieval from large-scale multimodal database is pervasive in modern search engines and social networks. To support queries across content modalities, the system should enable cross-modal correlation and computation-efficient ...
Besag J., Wang J., Wang Q., Weiss Y., Wu B., Zhang D., Zhang T., Zhao F., Zhen Y.   +8 more
core   +1 more source

Is a High Tone Pointy? Speakers of Different Languages Match Mandarin Chinese Tones to Visual Shapes Differently

Frontiers in Psychology, 2017
Studies investigating cross-modal correspondences between auditory pitch and visual shapes have shown children and adults consistently match high pitch to pointy shapes and low pitch to curvy shapes, yet no studies have investigated linguistic-uses of ...
Nan Shang, Suzy J. Styles
doaj   +1 more source

Bridging Modalities: An Analysis of Cross-Modal Wasserstein Adversarial Translation Networks and Their Theoretical Foundations

Mathematics
What if machines could seamlessly translate between the visual richness of images and the semantic depth of language with mathematical precision? This paper presents a theoretical and empirical analysis of five novel cross-modal Wasserstein adversarial ...
Joseph Tafataona Mtetwa, Kingsley A. Ogudo, Sameerchand Pudaruth   +2 more
doaj   +1 more source

Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval

, 2018
In this paper, we propose a novel deep generative approach to cross-modal retrieval to learn hash functions in the absence of paired training samples through the cycle consistency loss.
Shao, Ling, Wang, Yang, Wu, Lin
core   +1 more source

Sound Symbolism in Foreign Language Phonological Acquisition [PDF]

, 2010
The paper aims at investigating the idea of a symbolic nature of sounds and its implications for in the acquisition of foreign language phonology. Firstly, it will present an overview of universal trends in phonetic symbolism, i.e.
Wrembel, Magdalena
core   +1 more source

Outlier Detection and Cross-Modal Representation Learning for Multimodal Alzheimer’s Disease Diagnosis

IEEE Transactions on Neural Systems and Rehabilitation Engineering
The early diagnosis of Alzheimer’s disease (AD) is crucial because individuals may first experience mild cognitive impairment (MCI), which can then develop into AD, enabling timely intervention, slowing disease progression, and advancing the ...
Liqiang Xu, Hongmei Chen, Biao Xiang, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li   +6 more
doaj   +1 more source

VIGAN: Missing View Imputation with Generative Adversarial Networks

, 2017
In an era when big data are becoming the norm, there is less concern with the quantity but more with the quality and completeness of the data. In many disciplines, data are collected from heterogeneous sources, resulting in multi-view or multi-modal ...
Bi, Jinbo, Chen, Ko-Shin, Lu, Jin, Palmer, Aaron, Shang, Chao, Sun, Jiangwen   +5 more
core   +1 more source

Lexical Synaesthesia in Metaphorical Collocations

Vestnik za Tuje Jezike
This study seeks to shed more light on the role of lexical synaesthesia (LS), a phenomenon exemplified by expressing one sense in terms of another (e.g., gustation for sound – a sweet melody), in the process of forming metaphorical collocations. Lexical
Jana Jurčević
doaj   +1 more source

Developmental Disorders in Children Recently Diagnosed With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag, Long Vu, Ritika Miryala, Jeffrey M. Albert, Molly McVoy, Siran M. Koroukian   +5 more
wiley   +1 more source