The multiple reference frames (MRF) method is the most suitable method tosimulate impeller rotation in mixing systems. Precise determination of stationaryand moving zones in MRF method leads to accurate results in mixing performance.In this research, the entire volume of mixing system was divided into two zones.The kinetic energy values were used to distinguish the zones with differentvelocitie...

A unique pattern of expression of the four muscle regulatory factor (MRF) proteins was found to distinguish early somitic from embryonic, fetal and newborn limb myogenic cells in vitro. Expression of the myosin heavy chain (MHC), MyoD, myogenin, Myf-5, and MRF4 proteins was examined by immunocytochemistry in cultures of four distinct types of mouse myogenic cells: somitic (E8.5), embryonic (E11...

The main idea of this paper is to integrate the non-contextual support vector machines (SVM) classifiers with Markov random fields (MRF) approach to develop a contextual framework for monitoring of agricultural land cover. To this end, the SVM and MRF approaches were integrated to exploit both spectral and spatial contextual information in the image for more accurate classification of remote se...

This paper describes a method for building a compact online Markov random field (MRF) recognizer for large handwritten Japanese character set using structured dictionary representation and vector quantization (VQ) technique. The method splits character patterns into radicals, whose models by MRF are shared by different character classes such that a character model is constructed from the consti...

Real world systems typically feature a variety of different dependency types and topologies that complicate model selection for probabilistic graphical models. We introduce the ensemble-offorests model, a generalization of the ensembleof-trees model of Meilă and Jaakkola (2006). Our model enables structure learning of Markov random fields (MRF) with multiple connected components and arbitrary p...

We propose a Markov Random Field (MRF) formulation for the intensity-based N-view 2D-3D registration problem. The transformation aligning the 3D volume to the 2D views is estimated by iterative updates obtained by discrete optimization of the proposed MRF model. We employ a pairwise MRF model with a fully connected graph in which the nodes represent the parameter updates and the edges encode th...

texture image analysis is one of the most important working realms of image processing in medical sciences and industry. up to present, different approaches have been proposed for segmentation of texture images. in this paper, we offered unsupervised texture image segmentation based on markov random field (mrf) model. first, we used gabor filter with different parameters’ (frequency, orientatio...

This research aims to determine the effect of bank size (SIZE), profitability (ROA), efficiency (EFF), non-performing finance (NPF), interest (INTR), and inflation (INFL) on profit loss sharing (PLS) financing (equity financing), sale-purchase (SP) (debt financing) Islamic banks in Indonesia. Furthermore, monthly data June 2014 July 2020 was used. The autoregressive distributed lag (ARDL) method used sho...

We present a new general Bayesian formulation for simultaneously restoring and segmenting piecewise smooth images. This implies estimation of the associated parameters of the classes within an image, the class label for each image pixel and the number of classes. The intensity image is modelled by parametric models based on regularized networks. The method fits the regions (or classes) with com...