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TON
2010
126views more  TON 2010»
14 years 10 months ago
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns
Aggregate traffic loads and topology in multi-hop wireless networks may vary slowly, permitting MAC protocols to `learn' how to spatially coordinate and adapt contention patte...
Yung Yi, Gustavo de Veciana, Sanjay Shakkottai

Book
640views
17 years 2 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
ICDE
2005
IEEE
156views Database» more  ICDE 2005»
16 years 4 months ago
Reverse Nearest Neighbors in Large Graphs
A reverse nearest neighbor (RNN) query returns the data objects that have a query point as their nearest neighbor (NN). Although such queries have been studied quite extensively in...
Man Lung Yiu, Dimitris Papadias, Nikos Mamoulis, Y...
124
Voted
ICPR
2002
IEEE
16 years 4 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
205
Voted
SIGMOD
2008
ACM
126views Database» more  SIGMOD 2008»
16 years 3 months ago
On efficient top-k query processing in highly distributed environments
Lately the advances in centralized database management systems show a trend towards supporting rank-aware query operators, like top-k, that enable users to retrieve only the most ...
Akrivi Vlachou, Christos Doulkeridis, Kjetil N&osl...