Results 11 to 20 of about 367,129 (284)
Bio‐Plausible Multimodal Learning with Emerging Neuromorphic Devices [PDF]
Advanced ScienceMultimodal machine learning, as a prospective advancement in artificial intelligence, endeavors to emulate the brain's multimodal learning abilities with the objective to enhance interactions with humans.
Haonan Sun +7 more
doaj +3 more sources
Learning Multimodal Latent Attributes [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 —The rapid development of social media sharing has created a huge demand for automatic media classification and annotation techniques. Attribute learning has emerged as a promising paradigm for bridging the semantic gap and addressing data sparsity via ...
Fu, Y, Gong, S, Hospedales, TM, Xiang, T
core +4 more sources
Deep Multimodal Representation Learning: A Survey
IEEE Access, 2019 Multimodal representation learning, which aims to narrow the heterogeneity gap among different modalities, plays an indispensable role in the utilization of ubiquitous multimodal data.
Wenzhong Guo, Jianwen Wang, Shiping Wang
doaj +3 more sources
Editorial: Advances in multimodal learning: pedagogies, technologies, and analytics [PDF]
Frontiers in Psychology, 2023 Heng Luo
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Multimodal learning with graphs. [PDF]
Nat Mach Intell, 2023 Artificial intelligence for graphs has achieved remarkable success in modeling complex systems, ranging from dynamic networks in biology to interacting particle systems in physics. However, the increasingly heterogeneous graph datasets call for multimodal methods that can combine different inductive biases: the set of assumptions that algorithms use to
Ektefaie Y +4 more
europepmc +4 more sources
Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach
Frontiers in Computer Science, 2022 We tackle the task of cross-domain visual geo-localization, where the goal is to geo-localize a given query image against a database of geo-tagged images, in the case where the query and the database belong to different visual domains.
Valerio Paolicelli +5 more
doaj +1 more source
A Survey on Deep Visual Place Recognition
IEEE Access, 2021 In recent years visual place recognition (VPR), i.e., the problem of recognizing the location of images, has received considerable attention from multiple research communities, spanning from computer vision to robotics and even machine learning.
Carlo Masone, Barbara Caputo
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, 2021 AbstractThe widespread use of technology in the digital age continually shapes how individuals consume knowledge and learn. In the digital age, ideas are shared and represented in multiple formats and through the integration of multiple modes. Technological advances, coupled with considerations of the changing needs of today’s learners, call for ...
Bettyjo Bouchey +2 more
openaire +1 more source
MULTIMODAL MODEL MELALUI E-LEARNING PADA MATA KULIAH GEOMETRI BIDANG DI MASA PANDEMI COVID 19
Aksioma: Jurnal Program Studi Pendidikan Matematika, 2021 Pada masa pandemi covid 19 pembelajaran dilaksanakan secara online dengan memanfaatkan e-learning. Multimodal model merupakan komponen pokok dalam pembelajaran online, yang meliputi konten, sosial emosional, tanya jawab, refleksi dan evaluasi. Penelitian
Titin Masfingatin +4 more
doaj +1 more source
Multimodal learning of pheromone locations. [PDF]
FASEB J, 2021 Abstract Memorizing pheromonal locations is critical for many mammalian species as it involves finding mates and avoiding competitors. In rodents, pheromonal information is perceived by the main and accessory olfactory systems. However, the role of somatosensation in context‐dependent learning and memorizing of pheromone locations ...
Pardasani M +4 more
europepmc +5 more sources