Results 31 to 40 of about 40,024,031 (248)

multiviewstacking: A Python Package for Training Multi-View Stacking Classifiers

Journal of Open Research Software
The multiviewstacking Python package provides an open-source implementation of the Multi-View Stacking (MVS) algorithm for supervised classification tasks.
Enrique Garcia-Ceja
doaj   +1 more source

Unsupervised Multi-View K-Means Clustering Algorithm

IEEE Access, 2023
Since advanced technologies via social media, internet, virtual communities and networks and internet of things (IoT), there are more multi-view data to be collected.
Miin-Shen Yang, Ishtiaq Hussain
doaj   +1 more source

Evaluating the potential of multi-view data extraction from small Unmanned Aerial Systems (UASs) for object-based classification for Wetland land covers

GIScience & Remote Sensing, 2019
Unmanned Aerial Systems (UASs) have the potential to provide multi-view data, but the approaches used to extract the multi-view data from UAS and investigation of their use in image classification are currently unavailable in publications to our best ...
Tao Liu, Amr Abd-Elrahman, Bon Dewitt, Scot Smith, Jon Morton, Victor L. Wilhelm   +5 more
doaj   +1 more source

Multi-View Relationships for Analytics and Inference

, 2020
An interesting area of machine learning is methods for multi-view data, relational data whose features have been partitioned. Multi-view learning exploits relationships between views, giving it certain advantages over traditional single-view techniques ...
Eric Lei (4937920)
core   +1 more source

Tracking interacting targets in multi-modal sensors [PDF]

, 2009
PhDObject tracking is one of the fundamental tasks in various applications such as surveillance, sports, video conferencing and activity recognition. Factors such as occlusions, illumination changes and limited field of observance of the sensor make ...
Taj, Murtaza
core   +4 more sources

A Comprehensive Review on Light Field Occlusion Removal: Trends, Challenges, and Future Directions

IEEE Access
Overcoming occlusions in light field (LF) imaging is a challenging yet complex task crucial for scene understanding, image quality enhancement, and restoring visual details in obstructed scenes. This review examines contemporary occlusion removal methods,
Mostafa Farouk Senussi, Mahmoud Abdalla, Mahmoud Salaheldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Hyun-Soo Kang   +5 more
doaj   +1 more source

Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering

Applied Network Science, 2020
The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insights into discussion topics and how those topics evolve over the course of ...
Iain J. Cruickshank, Kathleen M. Carley
doaj   +1 more source

Multi-view VR system for co-located multidisciplinary collaboration and its application in ergonomic design [PDF]

, 2017
In co-located collaborative environment for product design, new groupware of multi-view system allows multiple experts to have individual visual information.
KEMENY, Andras, Ruding Lou, POSSELT, Javier, MERIENNE, Frédéric, Bo Li, Javier Posselt, LI, Bo, LOU, Ruding, Frédéric Segonds, Frédéric Merienne, SEGONDS, Frédéric, Andras Kemeny   +11 more
core   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

Multi-view dual anchor graph fuzzy clustering

Nantong Daxue xuebao. Ziran kexue ban
In recent years, with the rapid development of multi-view learning, how to effectively integrate information from different views for clustering analysis has become an important research topic in both academia and industry,driving the emergence of ...
ZHU Chenghao；DING Weiping；ZHANG Wei
doaj   +1 more source