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SPIRE
2005
Springer
14 years 3 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
CIKM
2008
Springer
14 years 4 days ago
A metric cache for similarity search
Similarity search in metric spaces is a general paradigm that can be used in several application fields. It can also be effectively exploited in content-based image retrieval syst...
Fabrizio Falchi, Claudio Lucchese, Salvatore Orlan...
IPCO
1992
112views Optimization» more  IPCO 1992»
13 years 11 months ago
The Metric Polytope
In this paper we study enumeration problems for polytopes arising from combinatorial optimization problems. While these polytopes turn out to be quickly intractable for enumeration...
Monique Laurent, Svatopluk Poljak
JCIT
2008
112views more  JCIT 2008»
13 years 10 months ago
On the design of metric relations
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
Lluís Belanche, Jorge Orozco
SQJ
2002
106views more  SQJ 2002»
13 years 9 months ago
Energy Metric for Software Systems
Acknowledging the intense requirement for low power operation in most portable computing systems, this paper introduces the notion of energy efficient software design and proposes ...
Alexander Chatzigeorgiou, George Stephanides