Results 71 to 80 of about 3,233,192 (305)
Partial Multi-view Subspace Clustering [PDF]
, 2018 For many real-world multimedia applications, data are often described by multiple views. Therefore, multi-view learning researches are of great significance. Traditional multi-view clustering methods assume that each view has complete data.
Luo, Xiangyang +4 more
core +1 more source
Multi-View Low-Rank Coding-Based Network Data De-Anonymization
IEEE Access, 2020 Social networks are extensively exploited by third-party consumers such as researchers and advertisers to understand user characteristics and behaviors. In general, before network data is published, sensitive relationships should be anonymized to prevent
Xingping Xian +5 more
doaj +1 more source
Spectral Perturbation Meets Incomplete Multi-view Data [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Beyond existing multi-view clustering, this paper studies a more realistic clustering scenario, referred to as incomplete multi-view clustering, where a number of data instances are missing in certain views. To tackle this problem, we explore spectral perturbation theory.
Hao Wang 0068 +4 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT The International Paediatric Oncology Society Global Mapping Programme aims to collect data on global paediatric oncology services by continent, with Africa and Latin America completed. This study reports on the methodology and lessons learned for Oceania, a unique continent with resource disparity across countries, multiple small island ...
Trisha Soosay Raj +16 more
wiley +1 more source
Safe Multi-View Deep Classification [PDF]
, 2023 Multi-view deep classification expects to obtain better classification performance than using a single view. However, due to the uncertainty and inconsistency of data sources, adding data views does not necessarily lead to the performance improvements in
Xie, Shaorong +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier +11 more
wiley +1 more source
Multi-view representation learning for data stream clustering
Information Sciences, 2022 open access ...
Jie Chen 0065 +2 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely cancer diagnosis in children and adolescents is important to improving outcomes. We aimed to quantify time to diagnosis and assess variations by patient, demographic and system‐level factors. Procedure We conducted a population‐based study of individuals aged 0–19 years diagnosed with one of 12 cancers from 2010 to 2022 in ...
Callum Mullen +5 more
wiley +1 more source
Multi-view Learning for Impervious Surface Mapping using High-resolution Multi-spectral Imagery and LiDAR Data [PDF]
, 2022 The use of multi-source remote sensing data to obtain urban impervious surface has become a popular research topic. Multi-source remote sensing data fusion techniques can provide object interpretation with a higher accuracy.
X Feng (10325372) +6 more
core
Improving university faculty evaluations via multi-view knowledge graph [PDF]
, 2021 University faculties generate a large amount of heterogeneous data in e-learning environments that online systems and toolkits have made widely available in all aspects of teaching and scientific researching activities.
Shi, Kaize +4 more
core +1 more source