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RISK distributed vector random fields in space and time
On the linear combination of the Gaussian and student’s random field and the integral geometry of its excursion sets
Mittag Leffler vector random fields with Mittag Leffler direct and cross covariance functions
A note on moving average models for Gaussian random fields
A graph theoretic approach to simulation and classification
Double extreme on joint sets for Gaussian random fields
Toward Application of Extremal Optimization Algorithm in Image Segmentation
. oversegmented images are the initial to EO which works on two levels: segments and pixels. A new energy function is defined for segments and the energy function in
markov random fields (MRF) is used for pixels. Applying EO in segment level accelerates...
Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification
Many machine learning problems such as speech recognition, gesture recognition, and handwriting recognition are concerned with simultaneous segmentation and labeling of sequence data. Latent-dynamic conditional random field (LDCRF) is a well...
Field-dependent spin-wave damping in ferromagnet/ antiferromagnet bilayers
function of external field. Field-dependent spin-wave damping is calculated by Born approximation. A random field, due to roughness at interface, is invoked to explain the large broadening of the spin-wave mode when the AFM layer is present...