In this project, we approach the problem of English-word hyphenation using a linear-chain conditional random field model. We measure the effectiveness of different feature combinations and two different learning methods: Collins perceptron and stochastic gradient following. We achieve the accuracy rate of 77.95% using stochastic gradient descent.

Intestinal enteroendocrine cells secrete hormones that are vital for the regulation of glucose metabolism but their differentiation from intestinal stem cells is not fully understood. Asymmetric stem cell divisions have been linked to intestinal stem cell homeostasis and secretory fate commitment. We monitored cell divisions using 4D live cell imaging of cultured intestinal crypts to characteri...

We investigate thermodynamic phase transitions of the joint presence spin glass (SG) and random field (RF) using a graph model that allows us to deal with quenched disorder. Therefore, connectivity becomes controllable parameter in our theory, allowing answer what differences are between this description mean-field theory i.e., fully connected theory. have considered network Ising where exchang...

This paper describes our work in the Simplified Chinese opinion analysis tasks in NTCIR-8. In the task of detecting opinioned sentences, various sentiment lexicons are used, including opinion indicators, opinion operators, degree adverbs and opinion words. The linear SVM model is selected as the main classifier, and four groups of features are extracted according to punctuations, words and sent...

The incidence function approach to modelling of metapopulation dynamics is critically examined both from the biological perspective and for technical issues, the latter by placing the model in the context of Markov random fields and the statistical analysis of binary lattice systems. The claim that the model can be used to estimate time-process parameters from spatialpattern data is examined us...

This paper presents a novel method of foreground segmentation that distinguishes moving objects from their moving cast shadows in monocular image sequences. The models of background, edge information, and shadow are set up and adaptively updated. A Bayesian belief network is proposed to describe the relationships among the segmentation label, background, intensity, and edge information. The not...