Object recognition using a data-flow computing system

TL;DR: Methods for on-line monitoring of business cycles are compared with respect to the ability of early prediction of the next tum by an alarm for a tum in a leading index and three likelihood-based methods for turning point detection are compared.

TL;DR: In this article, the authors survey the control theoretic literature on decentralized and hierarchical control, and methods of analysis of large scale systems, and present a survey of the control theory of large-scale systems.

TL;DR: In this paper, the authors give a graph-theoretic model for the description and analysis of parallel computations, in which computation steps correspond to nodes of a graph and dependency between computation steps is represented by branches with which queues of data are associated.

TL;DR: The theory and use of a laser sensor designed to provide arrays of registered intensity and range data for three-dimensional scene analysis are described and procedures for finding outlines of occluding objects, obtaining normal views of obliquely sensed planar surfaces, and extracting the images of horizontal surface regions from a scene are presented.

TL;DR: In this article, the authors discuss re-branding and rebranding in the context of the day-to-day activities in the South Korean market and discuss the challenges of re-branching.