Bayesian intent prediction in object tracking using bridging distributions

BI Ahmad, JK Murphy, PM Langdon… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
In several application areas, such as human computer interaction, surveillance and defence,
determining the intent of a tracked object enables systems to aid the user/operator and …

Intent inference for hand pointing gesture-based interactions in vehicles

BI Ahmad, JK Murphy, PM Langdon… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Using interactive displays, such as a touchscreen, in vehicles typically requires dedicating a
considerable amount of visual as well as cognitive capacity and undertaking a hand pointing …

Innovation landscape and challenges of smart technologies and systems–a European perspective

S Micheler, YM Goh, N Lohse - Production & Manufacturing …, 2019 - Taylor & Francis
Smart technologies with higher degrees of autonomy will be essential to achieve the next
breakthrough in both agility and productivity in future manufacturing systems, often referred …

Toward the automated construction of probabilistic knowledge graphs for the maritime domain

F Shiri, T Wang, S Pan, X Chang, YF Li… - 2021 IEEE 24th …, 2021 - ieeexplore.ieee.org
International maritime crime is becoming increasingly sophisticated, often associated with
wider criminal networks. Detecting maritime threats by means of fusing data purely related to …

[HTML][HTML] Automated Construction Method of Knowledge Graphs for Pirate Events

C Xie, Z Zhong, L Zhang - Applied Sciences, 2024 - mdpi.com
With the development of seaborne trade, international maritime crime is becoming
increasingly complex. Detecting maritime threats by fusing the physical movement data from …

Efficient computation of DS-based uncertain logic operations and its application to hard and soft data fusion

RC Núnez, MN Murthi… - … Conference on Information …, 2014 - ieeexplore.ieee.org
Soft data reasoning systems are important components of more general hard and soft data
fusion frameworks that should satisfy at a minimum the following four requirements:(1) …

Bayesian target prediction from partial finger tracks: Aiding interactive displays in vehicles

BI Ahmad, J Murphy, PM Langdon… - … on Information Fusion …, 2014 - ieeexplore.ieee.org
Pointing tasks, for example to select a target on a graphical user interface, form a significant
part of humancomputer interactions. This has triggered a notable interest in intent prediction …

[PDF][PDF] Novel Methods for Reasoning with Uncertain Hard and Soft Data using Probabilistic and Belief Theoretic Methods

RC Nunez Sanchez - Open Access Dissertations. University …, 2018 - scholarship.miami.edu
Effectively combining multiple and complementary sources of information is becoming one
of the most promising paths for increased accuracy and more detailed analysis in numerous …

Learning the Parameters of Spatially-Referring Natural Language Likelihoods in Binary Models

S Arulampalam, B Ristic, J Legg - 2018 21st International …, 2018 - ieeexplore.ieee.org
Despite imprecision and possible ambiguity expressed by spatially referring natural
language statements, they are potentially useful “measurements”(also known as soft data) …

Novel Methods for Reasoning with Uncertain Hard and Soft Data using Probabilistic and Belief Theoretic Methods

RCN Sanchez - 2018 - search.proquest.com
Effectively combining multiple and complementary sources of information is becoming one
of the most promising paths for increased accuracy and more detailed analysis in numerous …