Cluster-level statistical inference in fMRI datasets: The unexpected behavior of random fields in high dimensions. [PDF]
Bansal R, Peterson BS.
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Expected Number and Height Distribution of Critical Points of Smooth Isotropic Gaussian Random Fields. [PDF]
Cheng D, Schwartzman A.
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Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. [PDF]
Geng S +4 more
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Protein alignment based on higher order conditional random fields for template-based modeling. [PDF]
Morales-Cordovilla JA +2 more
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MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN RANDOM FIELDS. [PDF]
Cheng D, Schwartzman A.
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A MULTI-RESOLUTION MODEL FOR NON-GAUSSIAN RANDOM FIELDS ON A SPHERE WITH APPLICATION TO IONOSPHERIC ELECTROSTATIC POTENTIALS. [PDF]
Fan M, Paul D, Lee TCM, Matsuo T.
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Spatial quantification of the synaptic activity phenotype across large populations of neurons with Markov random fields. [PDF]
Robinson S, Courtney MJ.
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Locally Adaptive Smoothing with Markov Random Fields and Shrinkage Priors. [PDF]
Faulkner JR, Minin VN.
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SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields. [PDF]
Xu K, Zhou Z, Gong T, Hao T, Liu W.
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Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution. [PDF]
Segovia F +4 more
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