Results 31 to 40 of about 609,343 (292)
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
In many machine learning systems that jointly learn from multiple modalities, a core research question is to understand the nature of multimodal interactions: how modalities combine to provide new task-relevant information that was not present in either alone.
Paul Pu Liang +8 more
openaire +3 more sources
Understanding the association between subjective emotional experiences and physiological signals is of practical and theoretical significance. Previous psychophysiological studies have shown a linear relationship between dynamic emotional valence ...
Naoya Kawamura +4 more
doaj +1 more source
Learning Social Image Embedding with Deep Multimodal Attention Networks
Learning social media data embedding by deep models has attracted extensive research interest as well as boomed a lot of applications, such as link prediction, classification, and cross-modal search.
He, Yueying +5 more
core +1 more source
Multimodal segmentation of lifelog data
A personal lifelog of visual and audio information can be very helpful as a human memory augmentation tool. The SenseCam, a passive wearable camera, used in conjunction with an iRiver MP3 audio recorder, will capture over 20,000 images and 100 hours of audio per week.
Doherty, Aiden R. +3 more
openaire +4 more sources
Contracted functional connectivity profiles in autism
Objective Autism spectrum disorder (ASD) is a neurodevelopmental condition that is associated with atypical brain network organization, with prior work suggesting differential connectivity alterations with respect to functional connection length.
Clara F. Weber +13 more
doaj +1 more source
Graph Distillation for Action Detection with Privileged Modalities
We propose a technique that tackles action detection in multimodal videos under a realistic and challenging condition in which only limited training data and partially observed modalities are available.
Bingbing Ni +13 more
core +1 more source
Learning semantic sentence representations from visually grounded language without lexical knowledge [PDF]
Current approaches to learning semantic representations of sentences often use prior word-level knowledge. The current study aims to leverage visual information in order to capture sentence level semantics without the need for word embeddings.
Frank, Stefan, Merkx, Danny
core +3 more sources
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
The increasing complexity and scale of remote sensing datasets, coupled with the challenges of accurately estimating algorithmic time efficiency, often lead to significant resource waste or even failure when using machine learning algorithms in urgent or
Xiaorou Zheng +6 more
doaj +1 more source
GazeTouchPIN: Protecting Sensitive Data on Mobile Devices Using Secure Multimodal Authentication [PDF]
Although mobile devices provide access to a plethora of sensitive data, most users still only protect them with PINs or patterns, which are vulnerable to side-channel attacks (e.g., shoulder surfing). How-ever, prior research has shown that privacy-aware
Alt, Florian +4 more
core +1 more source

