This paper introduces a new theoretical formalism to specify private information. It utilizes single-referent linguistic assertions in defining ‘private information’ in terms of ‘atomicity’ and identification. Atomicity refers to the private information of a single person, in contrast to referring to compound information (e.g., X and Y are in love). Compound private information is shown to be r...

Almost all current spoken dialog systems treat dialog as that where a single user talks to an agent. We, on the other hand, set out to investigate a multiparty dialog system that deals with two agents and a single user. We developed a three person (one user and two agents) and a two person (one user and one agent) dialog system to consider the same dialog task, that is, “Which do you prefer, ud...

An object detector performs suboptimally when applied to image data taken from a viewpoint different from the one with which it was trained. In this paper, we present a viewpoint adaptation algorithm that allows a trained single-view person detector to be adapted to a new, distinct viewpoint. We first illustrate how a feature space transformation can be inferred from a known homography between ...

PURPOSE This study investigated whether cognitively impaired nursing home residents are particularly vulnerable to harmful effects during single-person, intrabuilding room transfers. DESIGN AND METHODS A variation of a pretest-posttest experimental-comparison group design was used. Data on cognitive status, mortality, and seven morbidity outcome measures were abstracted from the Minimum Data ...

Within-person and methodological variability of a given analyte are important elements in determining whether an individual has altered concentrations of that analyte. We report the short-term (1 month) within-person, between-person, and methodological variability of plasma homocysteine in 20 healthy participants from whom samples were drawn weekly for 4 weeks. The short-term between-person var...

This paper presents a unified approach to crowd segmentation. A global solution is generated using an Expectation Maximization framework. Initially, a head and shoulder detector is used to nominate an exhaustive set of person locations and these form the person hypotheses. The image is then partitioned into a grid of small patches which are each assigned to one of the person hypotheses. A key i...