Results 31 to 40 of about 168,985 (282)
Statistical paleoclimate reconstructions via Markov random fields
, 2015 Understanding centennial scale climate variability requires data sets that are accurate, long, continuous and of broad spatial coverage. Since instrumental measurements are generally only available after 1850, temperature fields must be reconstructed ...
Emile-Geay, Julien +2 more
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Markov Random Field Surface Reconstruction [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2010 A method for implicit surface reconstruction is proposed. The novelty in this paper is the adaptation of Markov Random Field regularization of a distance field. The Markov Random Field formulation allows us to integrate both knowledge about the type of surface we wish to reconstruct (the prior) and knowledge about data (the observation model) in an ...
Paulsen, Rasmus Reinhold +2 more
openaire +3 more sources
Collaborative filtering via sparse Markov random fields
, 2016 Recommender systems play a central role in providing individualized access to information and services. This paper focuses on collaborative filtering, an approach that exploits the shared structure among mind-liked users and similar items. In particular,
Phung, Dinh +2 more
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Multiscale representations of Markov random fields [PDF]
, 1992 Includes bibliographical references (p. 54-58).Supported by the Draper Laboratory IR&D Program. DL-H-418524 Supported by the Office of Naval Research. N00014-91-J-1004 Supported by the Army Research Office of Research.
core +1 more source
High-Order Markov Random Fields and Their Applications in Cross-Language Speech Recognition
Cybernetics and Information Technologies, 2015 In this paper we study the cross-language speech emotion recognition using high-order Markov random fields, especially the application in Vietnamese speech emotion recognition.
Zhipeng Jiang, Chengwei Huang
doaj +1 more source
Comparison of linear discriminant functions in image classification
Lietuvos Matematikos Rinkinys, 2010 In statistical image classification it is usually assumed that feature observations given labels are independently distributed. We have retracted this assumption by proposing stationary Gaussian random field (GRF) model for features observations ...
Lijana Stabingienė +2 more
doaj +1 more source
Gaussian mixture model and Markov random fields for hyperspectral image classification
European Journal of Remote Sensing, 2018 This paper presents a novel method for reliable and efficient spatial-spectral classification of hyperspectral data. This algorithm is based on the Bayesian labelling by combining the results of the Gaussian mixture model (GMM) with spatial-contextual ...
Hamid Ghanbari +3 more
doaj +1 more source
Generalisation of the Hammersley-Clifford Theorem on Bipartite Graphs [PDF]
, 2015 The Hammersley-Clifford theorem states that if the support of a Markov random field has a safe symbol then it is a Gibbs state with some nearest neighbour interaction.
Chandgotia, Nishant
core
Pattern theorems, ratio limit theorems and Gumbel maximal clusters for random fields [PDF]
, 2007 We study occurrences of patterns on clusters of size n in random fields on Z^d. We prove that for a given pattern, there is a constant a>0 such that the probability that this pattern occurs at most an times on a cluster of size n is exponentially small ...
G. Grimmett +14 more
core +4 more sources
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source