Results 111 to 120 of about 1,200,755 (251)

Hyper-heuristic decision tree induction [PDF]

, 2012
A hyper-heuristic is any algorithm that searches or operates in the space of heuristics as opposed to the space of solutions. Hyper-heuristics are increasingly used in function and combinatorial optimization.
Vella, Alan
core  

Edge‐preserving noise for diffusion models

Computer Graphics Forum, EarlyView.
Abstract Classical diffusion models typically rely on isotropic Gaussian noise, treating all regions uniformly and overlooking structural information important for high‐quality generation. We introduce an edge‐preserving diffusion process that generalizes isotropic models via a hybrid noise scheme with an edge‐aware scheduler that smoothly transitions ...
Jente Vandersanden, Sascha Holl, Xingchang Huang, Gurprit Singh   +3 more
wiley   +1 more source

Skeletal‐Driven Animation of Anatomical Humans via Neural Deformation Gradients

Computer Graphics Forum, EarlyView.
Abstract Most real‐time animation techniques for digital humans are limited to deforming the outer skin surface. Geometric skinning methods are highly efficient but struggle with artifacts such as collapsing joints or self‐intersections when animating inner anatomy along with the outer skin.
G. Nolte, F. Kemper, U. Schwanecke, M. Botsch   +3 more
wiley   +1 more source

An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem [PDF]

, 2016
Software project scheduling plays an important role in reducing the cost and duration of software projects. It is an NP-hard combinatorial optimization problem that has been addressed based on single and multi-objective algorithms.
Xiuli Wu, Ochoa, Gabriela, Leandro Minku, Yao, Xin, Consoli, Pietro, Gabriela Ochoa (2584663), Xin Yao, Wu, Xiuli, Xiuli Wu (2153353), Leandro Minku (7624634), Xin Yao (130614), Pietro Consoli, Pietro Consoli (7651745), Minku, Leandro, Gabriela Ochoa   +14 more
core   +1 more source

Establishing Shape Correspondences: A Survey

Computer Graphics Forum, EarlyView.
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley   +1 more source

Hyperion – A Recursive Hyper-Heuristic Framework [PDF]

, 2011
Hyper-heuristics are methodologies used to search the space of heuristics for solving computationally difficult problems. We describe an object-oriented domain analysis for hyper-heuristics that orthogonally decomposes the domain into generative policy components.
Jerry Swan, Ender Özcan, Graham Kendall
openaire   +1 more source

Hyper-heuristic based local search for combinatorial optimisation problems

, 2018
Combinatorial optimisation is often needed for solving real-world problems, which are often NP-hard so exact methods are not suitable. Instead local search methods are often effective to find near-optimal solutions quickly.
Nasser Sabar (19997721), Simon Dunstall (13604722), Andy Song (18026851), Ayad Turky (20061987)   +3 more
core  

Fuzzy adaptive parameter control of a late acceptance hyper-heuristic [PDF]

, 2014
A traditional iterative selection hyper-heuristic which manages a set of low level heuristics relies on two core components, a method for selecting a heuristic to apply at a given point, and a method to decide whether or not to accept the result of the ...
Jackson, Warren G., Ender Ozcan, Robert I. John, Özcan, Ender, Warren G. Jackson, John, Robert I.   +5 more
core   +1 more source

SAGE: Structure‐Aware Generative Video Transitions between Diverse Clips

Computer Graphics Forum, EarlyView.
Abstract Video transitions aim to synthesize intermediate frames between two clips, but naïve approaches such as linear blending introduce artifacts that limit professional use or break temporal coherence. Traditional techniques (cross‐fades, morphing, frame interpolation) and recent generative inbetweening methods can produce high‐quality plausible ...
Mia Kan, Yilin Liu, Niloy J. Mitra
wiley   +1 more source

A Bi-objective Hyper-Heuristic Support Vector Machines for Big Data Cyber-Security

IEEE Access, 2018
Cyber security in the context of big data is known to be a critical problem and presents a great challenge to the research community. Machine learning algorithms have been suggested as candidates for handling big data security problems.
Nasser R. Sabar, Xun Yi, Andy Song
doaj   +1 more source