Fast and reliable physically-based simulation techniques are essential for providing flexible visual effects for computer graphics content. In this paper, we propose a fast and reliable hierarchical cloth simulation method, which combines conventional physically-based simulation with deep neural networks (DNN). Simulations of the coarsest level of the hierarchical model are calculated using con...

Joint sparsity regularization in multi-task learning has attracted much attention in recent years. The traditional convex formulation employs the group Lasso relaxation to achieve joint sparsity across tasks. Although this approach leads to a simple convex formulation, it suffers from several issues due to the looseness of the relaxation. To remedy this problem, we view jointly sparse multi-tas...

In this paper, we study the economic impact of user generated contents (UGC) in twitter on movies’ box offices. In contrast to other UGC such as online reviews, twitter more truthfully documents a product’s word of mouth (WOM) among ordinary consumers. We develop a new text mining technique to extract and analyze the movie conversations among twitter users. This mining technique is specially-de...

In this article we consider testing for differentially expressed genes in GeneChip studies by modeling and analyzing the quantiles of gene expression through probe level measurements. By developing a robust rank score test for linear quantile models with a random effect, we propose a reliable test for detecting differences in certain quantiles of the intensity distributions. By using a genomewi...

A common setting for novelty detection assumes that labeled examples from the nominal class are available, but that labeled examples of novelties are unavailable. The standard (inductive) approach is to declare novelties where the nominal density is low, which reduces the problem to density level set estimation. In this paper, we consider the setting where an unlabeled and possibly contaminated...

competency- based mastery learning: a planned clinical experience for nursing students     baghaei r [1] , mohammadpour y [2] *, habibzade h [3] , rasouli d [4] , khalilzadeh h [5] , jafarizadeh h [6]    received: 2 may, 2011 accepted: 6 july, 2011   abstract  background & aims: clinical education is one of the most important and crucial parts of nursing education. successful clinical education...

background :nursing education can maintain its dynamic quality when it moves toward innovation and modern methods of teaching and learning. therefore, teachers are required to employ up to date methods in their teaching plans. this study evaluated the effects of e-learning, lectures, and role playing on nursing students’ learning, retention, and satisfaction.   methods : sixty nursing students ...