Population mobility and indigenous peoples in Australasia and North America

This book draws together relevant research findings to produce the first comprehensive overview of Indigenous peoples' mobility. Chapters draw from a range of disciplinary sources, and from a diversity of regions and nation-states. Within nations, mobility is the key determinant of local population change, with implications for service delivery, needs assessment, and governance. Mobility also provides a key indicator of social and economic transformation. As such, it informs both social theory and policy debate. For much of the twentieth century conventional wisdom anticipated the steady convergence of socio-demographic trends, seeing this as an inevitable concomitant of the development process. However, the patterns and trends in population movement observed in this book suggest otherwise, and provide a forceful manifestation of changing race relations in these new world settings. © 2009 Informa plc

Representation and learning of visual information for pose recognition

Recovering position from sensor information is an important problem in mobile robotics, known as localisation. Localisation requires a map or some other description of the environment to provide the robot with a context to interpret sensor data. The mobile robot system under discussion is using an artificial neural representation of position. Building a geometrical map of the environment with a single camera and artificial neural networks is difficult. Instead it would be simpler to learn position as a function of the visual input. Usually when learning images, an intermediate representation is employed. An appropriate starting point for biologically plausible image representation is the complex cells of the visual cortex, which have invariance properties that appear useful for localisation. The effectiveness for localisation of two different complex cell models are evaluated. Finally the ability of a simple neural network with single shot learning to recognise these representations and localise a robot is examined.