Results 11 to 20 of about 3,233,192 (305)
Multi-View Missing Data Completion [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2018 A growing number of multi-view data arises naturally in many scenarios, including medical diagnosis, webpage classification, and multimedia analysis. A challenge in learning from multi-view data is that not all instances are fully represented in all views, resulting in missing view data.
Ji, Shuiwang +4 more
openaire +3 more sources
Facing the Void: Overcoming Missing Data in Multi-View Imagery [PDF]
IEEE Access, 2023 In some scenarios, a single input image may not be enough to allow the object classification. In those cases, it is crucial to explore the complementary information extracted from images presenting the same object from multiple perspectives (or views) in
Gabriel Machado +3 more
doaj +3 more sources
Sentiment Analysis on Multi-View Social Data [PDF]
, 2016 There is an increasing interest in understanding users’ attitude or sentiment towards a specific topic (e.g., a brand) from the large repository of opinion-rich data on the Web. While great efforts have been devoted on the single media, either text or image, little attempts are paid for the joint analysis of multi-view data which is becoming a ...
Teng Niu +3 more
core +5 more sources
Multi-view Data Analysis. [PDF]
, 2019 Multi-view data analysis is a key technology for making effective decisions by leveraging information from multiple data sources. The process of data acquisition across various sensory modalities gives rise to the heterogeneous property of data. In my thesis, multi-view data representations are studied towards exploiting the enriched information ...
Cao, Guanqun
openaire +6 more sources
A Graph-based Multi-view Clustering Approach for Continuous Pattern Mining [PDF]
, 2022 Today’s smart monitoring applications need machine learning models and data mining algorithms that are capable of analysing and mining the temporal component of data streams.
Devagiri, Vishnu Manasa, +2 more
core +1 more source
Performance Profiling of Operating Modes via Multi-view Analysis Using Non-negative Matrix Factorisation [PDF]
, 2022 In industrial settings, continuous monitoring of the operation of assets generates a vast amount of data originating from a multitude of very diverse sources. This data allows to study and understand asset performance in real operating conditions, paving
Tsiporkova, Elena, +2 more
core +1 more source
Multi-view dreaming: multi-view world model with contrastive learning [PDF]
, 2023 In this paper, we propose Multi-View Dreaming, a novel reinforcement learning agent for integrated recognition and control from multi-view observations by extending Dreaming.
Tadahiro Taniguchi (4953358) +3 more
core +1 more source
Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning
IEEE Access, 2020 Spectral cluster based on multi-view data has proven effective for clustering multi-source real-world data because consensus and complementary information of multi-view data ensure the result of clustering.
Lijuan Wang, Shifei Ding
doaj +1 more source
Analysis of Malware Communities Using Multi-Modal Features
IEEE Access, 2020 Identifying possible threat actors from samples of malware remains an active area of research with important ramifications for cybersecruity practitioners. The unsupervised identification and characterization of malware samples has been primarily treated
Iain J. Cruickshank, Kathleen M. Carley
doaj +1 more source
Missing data in multi-omics integration: Recent advances through artificial intelligence
Frontiers in Artificial Intelligence, 2023 Biological systems function through complex interactions between various ‘omics (biomolecules), and a more complete understanding of these systems is only possible through an integrated, multi-omic perspective.
Javier E. Flores +5 more
doaj +1 more source