Results 51 to 60 of about 5,998 (189)
Multi-Hypergraph Neural Networks for Emotion Recognition in Multi-Party Conversations
Applied Sciences, 2023 Emotion recognition in multi-party conversations (ERMC) is becoming increasingly popular as an emerging research topic in natural language processing. Recently, many approaches have been devoted to exploiting inter-dependency and self-dependency among ...
Haojie Xu +3 more
doaj +1 more source
Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data‐ and Cognitive Scientists
WIREs Cognitive Science, Volume 17, Issue 2, March/April 2026.Cognitive network science helps organize associative knowledge—that is, the connections between concepts. These connections play a key role in cognitive processes such as language understanding and context interpretation, even though they are not obvious in language use.
Edith Haim, Massimo Stella
wiley +1 more source
Hypergraph Learning with Line Expansion
, 2020 Previous hypergraph expansions are solely carried out on either vertex level or hyperedge level, thereby missing the symmetric nature of data co-occurrence, and resulting in information loss.
Abdelzaher, Tarek +3 more
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Matrix formulation of fuzzy rule-based systems [PDF]
, 1996 In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Andersen, HC, Lotfi, A, Tsoi, AC
core
Hypergraph Representation Learning for Remote Sensing Image Change Detection
Remote SensingTo address the challenges of change detection tasks, including the scarcity and dispersion of labeled samples, the difficulty in efficiently extracting features from unstructured image objects, and the underutilization of high-order correlation ...
Zhoujuan Cui +3 more
doaj +1 more source
Hypergraph Convolutional Network with Multi-perspective Topology Refinement forSkeleton-based Action Recognition [PDF]
Jisuanji kexueSince the human skeleton is a natural topological structure,graph convolutional networks(GCNs) are widely used for skeleton-based human action recognition.In recent research,skeleton sequences are represented as spatio-temporal graphs and topology graphs
HUANG Qian, SU Xinkai, LI Chang, WU Yirui
doaj +1 more source
Lightweight Hybrid Wafer Defect Pattern Network Based on Feedforward Efficient Attention
CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 149-166, February 2026.ABSTRACT With the increase of semiconductor integration density, in order to cope with the increase of wafer defect complexity and types, especially the low recognition accuracy of overlapping mixed defects and unknown wafer defects, this study proposes a lightweight model for wafer defect detection called LightWMNet.
Zhiqiang Hu, Yiquan Wu
wiley +1 more source
Place recognition: An Overview of Vision Perspective
, 2018 Place recognition is one of the most fundamental topics in computer vision and robotics communities, where the task is to accurately and efficiently recognize the location of a given query image.
Chen, Yuming +4 more
core +1 more source
Engineering Reports, Volume 8, Issue 1, January 2026.This work tackles the unresolved stability problem of heterogeneous quaternion‐valued BAM neural networks plagued by unknown parameters, time‐varying delays, and impulses. By synergizing Lyapunov theory with inequality techniques, we establish rigorous, yet practical, global stability conditions.
Xi Long, Yaqin Li
wiley +1 more source
Predicting Multi-actor collaborations using Hypergraphs [PDF]
, 2014 Social networks are now ubiquitous and most of them contain interactions involving multiple actors (groups) like author collaborations, teams or emails in an organizations, etc.
Chandra, Abhishek +2 more
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