Results 21 to 30 of about 1,045,298 (140)
Sequential Monte Carlo for Graphical Models [PDF]
, 2014 We propose a new framework for how to use sequential Monte Carlo (SMC) algorithms for inference in probabilistic graphical models (PGM). Via a sequential decomposition of the PGM we find a sequence of auxiliary distributions defined on a monotonically ...
Lindsten, Fredrik +2 more
core
Semiblind subgraph reconstruction in Gaussian graphical models
, 2017 Consider a social network where only a few nodes (agents) have meaningful interactions in the sense that the conditional dependency graph over node attribute variables (behaviors) is sparse.
Hero III, Alfred O. +2 more
core +1 more source
Graphical continuous Lyapunov models
, 2020 The linear Lyapunov equation of a covariance matrix parametrizes the equilibrium covariance matrix of a stochastic process. This parametrization can be interpreted as a new graphical model class, and we show how the model class behaves under ...
Hansen, Niels Richard, Varando, Gherardo
core
Duality in Graphical Models [PDF]
, 2013 Graphical models have proven to be powerful tools for representing high-dimensional systems of random variables. One example of such a model is the undirected graph, in which lack of an edge represents conditional independence between two random ...
Malouche, Dhafer +2 more
core
Investigation of commuting Hamiltonian in quantum Markov network
, 2014 Graphical Models have various applications in science and engineering which include physics, bioinformatics, telecommunication and etc. Usage of graphical models needs complex computations in order to evaluation of marginal functions,so there are some ...
Babazadeh, Mohammad +3 more
core +1 more source
Point cloud denoising using a generalized error metric
Graphical ModelsEffective removal of noises from raw point clouds while preserving geometric features is the key challenge for point cloud denoising. To address this problem, we propose a novel method that jointly optimizes the point positions and normals.
Qun-Ce Xu, Yong-Liang Yang, Bailin Deng
doaj +1 more source
Two-step techniques for accurate selection of small elements in VR environments
Graphical Models, 2023 One of the key interactions in 3D environments is target acquisition, which can be challenging when targets are small or in cluttered scenes. Here, incorrect elements may be selected, leading to frustration and wasted time.
Elena Molina, Pere-Pau Vázquez
doaj +1 more source
Context-specific independencies for ordinal variables in chain regression models [PDF]
, 2017 In this work we handle with categorical (ordinal) variables and we focus on the (in)dependence relationship under the marginal, conditional and context-specific perspective.
Cazzaro, Manuela, Nicolussi, Federica
core +1 more source
Evaluating and comparing crowd simulations: Perspectives from a crowd authoring tool
Graphical ModelsCrowd simulation is a research area widely used in diverse fields, including gaming and security, assessing virtual agent movements through metrics like time to reach their goals, speed, trajectories, and densities.
Gabriel Fonseca Silva +3 more
doaj +1 more source