Results 31 to 40 of about 1,045,298 (140)

A robust workflow for b-rep generation from image masks

Graphical Models, 2023
A novel approach to generating watertight, manifold boundary representations from noisy binary image masks of MRI or CT scans is presented. The method samples an input segmented image and locally approximates the material boundary.
Omar M. Hafez, Mark M. Rashid
doaj   +1 more source

Discussion of `Causation and Graphical Models? [PDF]

, 2003
C
Vansteelandt, Stijn
core   +1 more source

Quasi-interpolation projectors for subdivision function spaces

Graphical Models
Subdivision surfaces as an extension of splines have become a promising technique for addressing PDEs on models with complex topologies in isogeometric analysis.
Hailun Xu, Zepeng Wen, Hongmei Kang
doaj   +1 more source

FACE: Feature-preserving CAD model surface reconstruction

Graphical Models
Feature lines play a pivotal role in the reconstruction of CAD models. Currently, there is a lack of a robust explicit reconstruction algorithm capable of achieving sharp feature reconstruction in point clouds with noise and non-uniformity. In this paper,
Shuxian Cai, Yuanyan Ye, Juan Cao, Zhonggui Chen   +3 more
doaj   +1 more source

Sketch-2-4D: Sketch driven dynamic 3D scene generation

Graphical Models
Sketch-based content generation offers flexible controllability, making it a promising narrative avenue in film production. Directors often visualize their imagination by crafting storyboards using sketches and textual descriptions for each shot. However,
Guo-Wei Yang, Dong-Yu Chen, Tai-Jiang Mu
doaj   +1 more source

Algebraic Methods of Classifying Directed Graphical Models

, 2014
Directed acyclic graphical models (DAGs) are often used to describe common structural properties in a family of probability distributions. This paper addresses the question of classifying DAGs up to an isomorphism.
Polyanskiy, Yury, Roozbehani, Hajir
core   +1 more source

Exploring the neural landscape: Visual analytics of neuron activation in large language models with NeuronautLLM

Graphical Models
Large language models (LLMs) like those that power OpenAI’s ChatGPT and Google’s Gemini have played a major part in the recent wave of machine learning and artificial intelligence advancements.
Ollie Woodman, Zhen Wen, Hui Lu, Yiwen Ren, Minfeng Zhu, Wei Chen   +5 more
doaj   +1 more source

Binary Models for Marginal Independence

, 2007
Log-linear models are a classical tool for the analysis of contingency tables. In particular, the subclass of graphical log-linear models provides a general framework for modelling conditional independences.
Anderson T. W, Anderson T. W., Bergsma W, Bergsma W, Bertsekas D. P, Besag J., Cox D. R., Cox D. R., Dawid A. P., Drton M., Edwards D. M, Ekholm A., Ekholm A., Erdos P., Glonek G. F. V., Hinton G. E., Hojsgaard S, Kauermann G., Kauermann G., Kendler K. S., Kennes R., Knuth D. E, Lauritzen S. L., Levi M., Mao Y., Marchetti G. M., McCullagh P., McCullagh P., Moore A., Pearl J., Pearl J., Putnam R., R Development Core Team, Sztompka P., Wright S.   +34 more
core   +2 more sources

3DMeshNet: A three-dimensional differential neural network for structured mesh generation

Graphical Models
Mesh generation is a crucial step in numerical simulations, significantly impacting simulation accuracy and efficiency. However, generating meshes remains time-consuming and requires expensive computational resources.
Jiaming Peng, Xinhai Chen, Jie Liu
doaj   +1 more source

Graphical models in Macaulay2 [PDF]

, 2012
The Macaulay2 package GraphicalModels contains algorithms for the algebraic study of graphical models associated to undirected, directed and mixed graphs, and associated collections of conditional independence statements. Among the algorithms implemented
García-Puente, Luis David, Petrović, Sonja, Sullivant, Seth   +2 more
core