Results 31 to 40 of about 2,759,993 (296)
Interactive Multiple Object Tracking (iMOT)
PLoS ONE, 2014 We introduce a new task for exploring the relationship between action and attention. In this interactive multiple object tracking (iMOT) task, implemented as an iPad app, participants were presented with a display of multiple, visually identical disks which moved independently.
Thornton, Ian M. +4 more
openaire +7 more sources
Optimising a nonlinear utility function in multi-objective integer programming [PDF]
, 2012 In this paper we develop an algorithm to optimise a nonlinear utility function of multiple objectives over the integer efficient set. Our approach is based on identifying and updating bounds on the individual objectives as well as the optimal utility ...
A. Przybylski +22 more
core +2 more sources
A multi-objective multi-factor integrated method for comprehensive luna base site selection
Geo-spatial Information ScienceCountries are now shifting from one-off lunar exploration missions to the establishment of a lunar base for long-term sustainable surveys. The selection of a suitable site plays a crucial role in sustaining the base’s operation and facilitating ...
Yuan Li +5 more
doaj +1 more source
Ecology and Society, 2010 Broad-scale, multi-governance level, participatory water management processes intended to aid collective decision making and learning are rarely initiated, designed, implemented, and managed by one person.
Katherine A. Daniell +11 more
doaj +1 more source
A Unifying View of Multiple Kernel Learning [PDF]
, 2010 Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different formulations of objectives and varying regularization strategies.
A. Rakotomamonjy +13 more
core +4 more sources
Application of a new multi-agent Hybrid Co-evolution based Particle Swarm Optimisation methodology in ship design [PDF]
, 2010 In this paper, a multiple objective 'Hybrid Co-evolution based Particle Swarm Optimisation' methodology (HCPSO) is proposed. This methodology is able to handle multiple objective optimisation problems in the area of ship design, where the simultaneous ...
Cui, Hao, Turan, O.
core +1 more source
Multi-objective Compositions for Collision-Free Connectivity Maintenance in Teams of Mobile Robots [PDF]
, 2016 Compositional barrier functions are proposed in this paper to systematically compose multiple objectives for teams of mobile robots. The objectives are first encoded as barrier functions, and then composed using AND and OR logical operators.
Ames, Aaron D. +2 more
core +2 more sources
Journal of Intelligent Systems, 2017 Watermarking is the process of concealing the secret message into multimedia sources, such as audio, image, and video. Rather than other steganography, video watermarking is mainly focused on the robustness of the system.
Wagdarikar Amir M.U., Senapati Ranjan K.
doaj +1 more source
, 2017 Previous research using evolutionary computation in Multi-Agent Systems indicates that assigning fitness based on team vs.\ individual behavior has a strong impact on the ability of evolved teams of artificial agents to exhibit teamwork in challenging ...
Rollins, Alex C., Schrum, Jacob
core +1 more source
Generalized multiple objective bottleneck problems [PDF]
Operations Research Letters, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gorski, Jochen +2 more
openaire +2 more sources