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STIGMERGIC LANDMARK OPTIMIZATION

Advances in Complex Systems, 2012
In this paper we present three Swarm Intelligence algorithms which we evaluate on the complex foraging task domain. Each of the algorithms draws inspiration from biologic bee foraging/nest-site selection behavior. The main focus will be on the third algorithm, namely STIGMERGIC LANDMARK FORAGING which is a novel hybrid approach.
Nyree Lemmens, Karl Tuyls
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Landmarks are Exaggerated

KI - Künstliche Intelligenz, 2016
In this discussion essay, I contend that the role of landmarks is exaggerated in basic and applied spatial cognition research. Specifically, I discuss empirical and theoretical arguments consistent with two claims. First, the word landmark is a label for several different concepts, although its precise reference in a particular context is rarely ...
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Landmarks in Medicine

Postgraduate Medicine, 1954
Reference is made to the empiric methods of the practice of medicine in ancient times. Epidemics were rampant centuries ago; a few are discussed. Causes of death several decades ago are compared with causes of death today. The seriousness of accidental deaths, particularly those due to automobile accidents, is emphasized.
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Landmarks of a Surface

2000
The second-order robust features of a deforming surface in Euclidean space such as its umbilics and parabolic line, are well-known. This paper is concerned with establishing properties of third-order robust features of a deforming surface, such as its ridges and flexcords or sub-parabolic lines,and the behaviour of those features under perestroikas ...
Ian R. Porteous, Mike J. Puddephat
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Landmark status

ACM SIGGRAPH 2009 Art Gallery, 2009
Travelers and dwellers often use landmarks to navigate within an environment. In the planometric mapping of landmark prominence, emergent patterns and networks articulate not only existing situations, but also future connections.
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MAPPING LANDMARKS ON TO THE FACE

Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, 2009
Landmarking can be formalised as calculating the Maximum A-posteriori Probability (MAP) of a set of land-marks given an image (texture) containing a face. In this paper a likelihood-ratio based landmarking method is extended to a MAP-based landmarking method. The approach is validated by means of experiments.
Beumer, G. M.   +2 more
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Visual landmark learning

Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113), 2002
Biology often offers valuable example of systems both for learning and for controlling motion. Work in robotics has often been inspired by these findings in diverse ways. Though the fundamental aspects that involve visual landmark learning and motion control mechanisms have almost exclusively been approached heuristically rather than examining the ...
BIANCO, Giovanni   +2 more
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Towards Personalized Landmarks

2017
Recent studies state that people familiar with an environment prefer landmarks with semantic salience, while people unfamiliar with an environment prefer landmarks with outstanding visual and structural characteristics. Current landmark salience models are not able to provide such personalized landmarks.
Eva Nuhn, Sabine Timpf
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Personal Dimensions of Landmarks

2017
Landmarks are crucial elements of route instructions given by humans. The currently accepted qualification of an object as a landmark is dependent on spatial dimensions, i.e. visual, semantic and structural dimensions. However, even if an object qualifies as a landmark because of its spatial dimensions, its selection by a traveller as wayfinding aid is
Eva Nuhn, Sabine Timpf
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