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CVPR
2010
IEEE
16 years 2 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
INFOCOM
2009
IEEE
16 years 1 months ago
Respondent-Driven Sampling for Characterizing Unstructured Overlays
—This paper presents Respondent-Driven Sampling (RDS) as a promising technique to derive unbiased estimates of node properties in unstructured overlay networks such as Gnutella. ...
Amir Hassan Rasti, Mojtaba Torkjazi, Reza Rejaie, ...
MDM
2009
Springer
115views Communications» more  MDM 2009»
16 years 1 months ago
Supporting Contexts for Indoor Navigation Using a Multilayered Space Model
Indoor navigation highly depends on context and requires flexible data structures to support the many use cases and configurations. For example, an indoor navigation system must c...
Thomas Becker, Claus Nagel, Thomas H. Kolbe
FOCS
2008
IEEE
16 years 1 months ago
Submodular Approximation: Sampling-based Algorithms and Lower Bounds
We introduce several generalizations of classical computer science problems obtained by replacing simpler objective functions with general submodular functions. The new problems i...
Zoya Svitkina, Lisa Fleischer
IAT
2008
IEEE
16 years 1 months ago
Adapting to Changing Resource Requirements for Coalition Formation in Self-Organized Social Networks
Coalition formation in social networks, consisting of a graph of interdependent agents, allows many choices of which task to select and with whom to partner in the social network....
Levi Barton, Vicki H. Allan