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Preliminary Emotion-Based Model for Realistic 3D Animation [PDF]

open access: yesITM Web of Conferences
3D animators commonly employ facial expressions to convey emotions, yet this method has limitations in fostering audience immersion. Existing guidelines prioritize storytelling, offering limited insight into character construction for immersive ...
Azlan Noorsyuhada   +2 more
doaj   +1 more source

RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings

open access: yes, 2022
711Item rankings are useful when a decision needs to be made, especially if there are multiple attributes to be considered. However, existing tools either do not support both categorical and numerical attributes, require programming expertise for ...
Bernard, Jürgen   +3 more
core   +1 more source

Influence Maximization With Visual Analytics

open access: yesIEEE Transactions on Visualization and Computer Graphics, 2022
In social networks, individuals' decisions are strongly influenced by recommendations from their friends, acquaintances, and favorite renowned personalities. The popularity of online social networking platforms makes them the prime venues to advertise products and promote opinions. The Influence Maximization (IM) problem entails selecting a seed set of
Alessio Arleo   +4 more
openaire   +2 more sources

Introduction. Mastering the Information Age. Solving Problems with Visual Analytics

open access: yes, 2022
S.1-6Raw data has no value in itself, only the extracted information has value. Time and money are wasted and opportunities are lost. Success depends on availability of the right information.
Mansmann, Florian   +4 more
core   +1 more source

Multimedia Analysis + Visual Analytics = Multimedia Analytics [PDF]

open access: yesIEEE Computer Graphics and Applications, 2010
To deal with the extent and variety of digital media, researchers are combining multimedia analysis and visual analytics to form the new field of multimedia analytics. This article gives some historical background, discusses surveys of related research, describes initial multimedia analytics research, and reports on benchmark datasets.
Nancy Chinchor   +4 more
openaire   +3 more sources

10471 Executive Summary – Scalable Visual Analytics [PDF]

open access: yes, 2011
The Scalable Visual Analytics seminar was a fertile meeting in which researchers from diverse backgrounds met. It included industry and academia, senior and junior researchers, multi-national representation, and people coming from several disciplines ...
Wrobel, Stefan, Keim, Daniel A.
core   +1 more source

Visual Analytics for Urban Data Analysis

open access: yes, 2023
The VAST 2022 Challenge 1 put us in place of an urban planning analyst for the fictitious city Engagement, Ohio. Given a large, interlinked dataset of its citizens, businesses and activities, we were tasked to assemble a summary of the state of ...
Liao, Jilin   +4 more
core   +1 more source

Visual analytics of EA data [PDF]

open access: yesProceedings of the 13th annual conference companion on Genetic and evolutionary computation, 2011
An experimental analysis of evolutionary algorithms usually generates a huge amount of multidimensional data, including numeric and symbolic data. It is difficult to efficiently navigate in such a set of data, for instance to be able to tune the parameters or evaluate the efficiency of some operators. Usual features of existing EA visualisation systems
Lutton, Evelyne, Fekete, Jean-Daniel
openaire   +2 more sources

A Survey on Vehicular Traffic Flow Anomaly Detection Using Machine Learning [PDF]

open access: yesITM Web of Conferences
Vehicular traffic flow anomaly detection is crucial for traffic management, public safety, and transportation efficiency. It assists experts in responding promptly to abnormal traffic conditions and making decisions to improve the traffic flow.
Chew Jackel Vui Lung   +1 more
doaj   +1 more source

Scale and Complexity in Visual Analytics [PDF]

open access: yesInformation Visualization, 2009
The fundamental problem that we face is that a variety of large-scale problems in security, public safety, energy, ecology, health care and basic science all require that we process and understand increasingly vast amounts and variety of data. There is a growing impedance mismatch between data size/complexity and the human ability to understand and ...
George G. Robertson   +4 more
openaire   +3 more sources

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