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» Pairwise Clustering and Graphical Models
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NIPS
2008
13 years 8 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
CGF
2008
125views more  CGF 2008»
13 years 7 months ago
Sparse points matching by combining 3D mesh saliency with statistical descriptors
This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first st...
Umberto Castellani, Marco Cristani, Simone Fantoni...
NIPS
2008
13 years 8 months ago
Clusters and Coarse Partitions in LP Relaxations
We propose a new class of consistency constraints for Linear Programming (LP) relaxations for finding the most probable (MAP) configuration in graphical models. Usual cluster-base...
David Sontag, Amir Globerson, Tommi Jaakkola
ISCA
1998
IEEE
126views Hardware» more  ISCA 1998»
13 years 11 months ago
Switcherland: A QoS Communication Architecture for Workstation Clusters
Computer systems have become powerful enough to process continuous data streams such as video or animated graphics. While processing power and communication bandwidth of today...
Hans Eberle, Erwin Oertli
GIS
2008
ACM
13 years 8 months ago
Sparse terrain pyramids
Bintrees based on longest edge bisection and hierarchies of diamonds are popular multiresolution techniques on regularly sampled terrain datasets. In this work, we consider sparse...
Kenneth Weiss, Leila De Floriani