Results 51 to 60 of about 5,224,308 (308)

A Non-parametric Graph Clustering Framework for Multi-View Data

AAAI Conference on Artificial Intelligence
Multi-view graph clustering (MVGC) derives encouraging grouping results by seamlessly integrating abundant information inside heterogeneous data, and has captured surging focus recently.
Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu   +8 more
semanticscholar   +1 more source

Facing the Void: Overcoming Missing Data in Multi-View Imagery

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, Matheus B. Pereira, Keiller Nogueira, Jefersson A. Dos Santos   +3 more
doaj   +1 more source

VIGAN: Missing View Imputation with Generative Adversarial Networks

, 2017
In an era when big data are becoming the norm, there is less concern with the quantity but more with the quality and completeness of the data. In many disciplines, data are collected from heterogeneous sources, resulting in multi-view or multi-modal ...
Bi, Jinbo, Chen, Ko-Shin, Lu, Jin, Palmer, Aaron, Shang, Chao, Sun, Jiangwen   +5 more
core   +1 more source

Discovering Common Information in Multi-View Data

Information Fusion
We introduce an innovative and mathematically rigorous definition for computing common information from multi-view data, drawing inspiration from Gács-Körner common information in information theory. Leveraging this definition, we develop a novel supervised multi-view learning framework to capture both common and unique information.
Qi Zhang, Mingfei Lu, Shujian Yu, Jingmin Xin, Badong Chen   +4 more
openaire   +3 more sources

Evaluation of the Utility of Baseline Echocardiogram in Patients With Standard Risk Precursor B‐Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
Abstract Background A routine baseline echocardiogram is often obtained prior to anthracycline administration in children with cancer. The utility of baseline echocardiogram is unclear in patients with standard risk B‐cell acute lymphoblastic leukemia (SR B‐ALL) as their anthracycline cumulative dose is low.
Ziyad Alrajhi, Alice Pozza, Luc Mertens, Adam Paul Yan, Sarah Alexander   +4 more
wiley   +1 more source

X-View: Graph-Based Semantic Multi-View Localization

, 2018
Global registration of multi-view robot data is a challenging task. Appearance-based global localization approaches often fail under drastic view-point changes, as representations have limited view-point invariance.
Cadena, Cesar, Del Don, Carlo, Gawel, Abel, Nieto, Juan, Siegwart, Roland   +4 more
core   +1 more source

Improving the Evaluation and Management of Transfusion‐Related Iron Overload in Children, Adolescents, and Young Adults Following Cancer Treatment or Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Transfusion‐related iron overload (TRIO) is a late effect of therapy impacting survivors of childhood cancer and hematopoietic stem cell transplantation (HSCT) who receive frequent packed red blood cell (pRBC) transfusions. Surprisingly, there are no accepted guidelines to assist providers in identifying and treating at‐risk ...
Luke Gingell, Allison Close, Guoli Zhou, Troy C. Quigg   +3 more
wiley   +1 more source

Multi-View Data-Based Layover Information Compensation Method for SAR Image Mosaic

Remote Sensing
Currently, massive Synthetic Aperture Radar (SAR) images acquired from numerous SAR satellites have been widely utilized in various fields, and image mosaicking technology provides important support and assistance for these applications.
Rui Liu, Feng Wang, Niangang Jiao, Hongjian You, Yuxin Hu, Guangyao Zhou, Yao Chen   +6 more
doaj   +1 more source

A Multi-View Clustering Algorithm for Mixed Numeric and Categorical Data

IEEE Access, 2021
Clustering data with both numeric and categorical attributes is of great importance as such data are ubiquitous in real-world problems. Multi-view learning approaches have proven to be more effective and having better generalisation ability compared to ...
Jinchao Ji, Ruonan Li, Wei Pang, Fei He, Guozhong Feng, Xiaowei Zhao   +5 more
doaj   +1 more source

Online Unsupervised Multi-view Feature Selection

, 2016
In the era of big data, it is becoming common to have data with multiple modalities or coming from multiple sources, known as "multi-view data". Multi-view data are usually unlabeled and come from high-dimensional spaces (such as language vocabularies ...
He, Lifang, Lu, Chun-Ta, Shao, Weixiang, Wei, Xiaokai, Yu, Philip S.   +4 more
core   +1 more source