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CVPR
2010
IEEE
14 years 5 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
ICOIN
2005
Springer
14 years 3 months ago
RWA on Scheduled Lightpath Demands in WDM Optical Transport Networks with Time Disjoint Paths
Abstract. In optical networks, traffic demands often demonstrate periodic nature for which time-overlapping property can be utilized in routing and wavelength assignment (RWA). A R...
Hyun Gi Ahn, Tae-Jin Lee, Min Young Chung, Hyunseu...
ICNP
2007
IEEE
14 years 4 months ago
HEXA: Compact Data Structures for Faster Packet Processing
—Data structures representing directed graphs with edges labeled by symbols from a finite alphabet are used to implement packet processing algorithms used in a variety of network...
Sailesh Kumar, Jonathan S. Turner, Patrick Crowley...
ECAI
2008
Springer
13 years 11 months ago
Modeling Collaborative Similarity with the Signed Resistance Distance Kernel
We extend the resistance distance kernel to the domain of signed dissimilarity values, and show how it can be applied to collaborative rating prediction. The resistance distance is...
Jérôme Kunegis, Stephan Schmidt, Sahi...
CIDM
2007
IEEE
14 years 1 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...