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» Canonical Data Structure for Interval Probe Graphs
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PKDD
2010
Springer
155views Data Mining» more  PKDD 2010»
13 years 3 months ago
Latent Structure Pattern Mining
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...
POPL
1993
ACM
13 years 9 months ago
Graph Types
e data structures are abstractions of simple records and pointers. They impose a shape invariant, which is verified at compiletime and exploited to automatically generate code fo...
Nils Klarlund, Michael I. Schwartzbach
DATE
2007
IEEE
146views Hardware» more  DATE 2007»
13 years 11 months ago
Data-flow transformations using Taylor expansion diagrams
Abstract: An original technique to transform functional representation of the design into a structural representation in form of a data flow graph (DFG) is described. A canonical,...
Maciej J. Ciesielski, Serkan Askar, Daniel Gomez-P...
MOBISYS
2004
ACM
14 years 4 months ago
Improving the Latency of 802.11 hand-offs using Neighbor Graphs
The 802.11 IEEE Standard has enabled low cost and effective wireless LAN services (WLAN). With the sales and deployment of WLAN based networks exploding, many people believe that ...
Minho Shin, Arunesh Mishra, William A. Arbaugh
CORR
2010
Springer
249views Education» more  CORR 2010»
13 years 5 months ago
Lower Bounds on Near Neighbor Search via Metric Expansion
In this paper we show how the complexity of performing nearest neighbor (NNS) search on a metric space is related to the expansion of the metric space. Given a metric space we loo...
Rina Panigrahy, Kunal Talwar, Udi Wieder