formulate the hu-man parsing and pose estimation problem jointly within a unified framework via a tailored And-Or graph. A novel Grid Layout Feature is then designed to effectively cap-ture the spatial co-occurrence/occlusion information be-tween/within the Parselets and MJGTs. Thus the mutually

This article presents the application of man-living-health in practice with one elderly person over a period of time. Examination of the as-sumptions underpinning the man-living-health theory help to clarify the basic tenets of the theory and the focus of nursing practice. The nurse

My PhD research has been on the algorithmic and formal aspects of computational linguistics, esp. in the areas of parsing and machine translation. I am interested in developing efficient algorithms for formalisms with rich expressive power, so that we can have a better modeling of human languages

This research investigated one-to-one teleapprenticeship as a means of teaching and learning Parse’s theory of hu-man becoming. Teleapprenticeship is defined as a one-to-one learning relationship, conducted entirely by E-mail, in which a mentor-teacher guides a learner in the construction

more efficient exploration than the sampling based search and exhaustive search, and thus achieves a tremendous speed-up. Experi-mental results demonstrate the efficiency and effectiveness of the proposed method in estimating various kinds of hu-man poses, even with cluttered background, poor

Dangerfield clearly struck a universal chord that re-sounds with humankind with his man-tra, “I don’t get no respect. ” There is much written about respect from vari-ous points of view. Most of these views, though, arise from a natural science per-spective, reflecting a view of the human as a bio

presence—emerged and led to a theoretical structure of serenity from the hu-man becoming perspective. Findings confirm serenity as a multidimensional process. The purpose of this study, guided by Parse’s (1981, 1992, 1995) theory and research method, was to investigate the meaning of serenity for survivors

Recent advances in large-scale, broad coverage part-of-speech tagging and syntactic parsing have been achieved in no small part due to the availability of large amounts of online, human-annotated corpora. In this paper, I argue that a large, human sensetagged corpus is also critical as well

representation of the various simple and independent linguistic sources that play a role in determining meaning: lexical associations, syntactic restrictions, case-role expectations, and most importantly, contextual effects. Compositional syntactic structure from a shallow parsing is represented in a neural net

This paper describes a framework for modeling human activities as temporally structured processes. Our approach is motivated by the inherently hierarchical nature of hu-man activities and the close correspondence between hu-man actions and speech: We model action units using Hid-den Markov Models