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TODS
2002
92views more  TODS 2002»
15 years 6 months ago
Searching in metric spaces with user-defined and approximate distances
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
Paolo Ciaccia, Marco Patella
ICRA
2010
IEEE
69views Robotics» more  ICRA 2010»
15 years 5 months ago
Probabilistic shadow information spaces
— This paper introduces a Bayesian filter that is specifically designed for counting targets that move outside of the field of view while performing a sensor sweep. Informatio...
Jingjin Yu, Steven M. LaValle
INFOCOM
2010
IEEE
15 years 5 months ago
Greedy Forwarding in Dynamic Scale-Free Networks Embedded in Hyperbolic Metric Spaces
In this paper we show that complex (scale-free) network topologies naturally emerge from hyperbolic metric spaces. The hyperbolic geometry can be used to facilitate maximally ef...
Fragkiskos Papadopoulos, Dmitri V. Krioukov, Mari&...
CANDC
2009
ACM
15 years 4 months ago
The creative footprint: the impact of physical space on workplace creativity
This poster puts forward the concept of a physical creative footprint which is specific and necessary to individuals' and groups' creativity in the workplace. The impact...
Alison Williams
204
Voted
EMNLP
2009
15 years 4 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti