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ICML
2010
IEEE
15 years 8 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
BMCBI
2006
111views more  BMCBI 2006»
15 years 7 months ago
Tools for integrated sequence-structure analysis with UCSF Chimera
Background: Comparing related structures and viewing the structures in the context of sequence alignments are important tasks in protein structure-function research. While many pr...
Elaine C. Meng, Eric F. Pettersen, Gregory S. Couc...
WWW
2006
ACM
16 years 7 months ago
Template guided association rule mining from XML documents
Compared with traditional association rule mining in the structured world (e.g. Relational Databases), mining from XML data is confronted with more challenges due to the inherent ...
Rahman Ali Mohammadzadeh, Sadegh Soltan, Masoud Ra...
KDD
2010
ACM
214views Data Mining» more  KDD 2010»
15 years 11 months ago
Neighbor query friendly compression of social networks
Compressing social networks can substantially facilitate mining and advanced analysis of large social networks. Preferably, social networks should be compressed in a way that they...
Hossein Maserrat, Jian Pei
CGF
2006
155views more  CGF 2006»
15 years 7 months ago
Opacity Peeling for Direct Volume Rendering
The most important technique to visualize 3D scalar data, as they arise e.g. in medicine from tomographic measurement, is direct volume rendering. A transfer function maps the sca...
Christof Rezk-Salama, Andreas Kolb