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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
ICCV
2011
IEEE
12 years 7 months ago
Multiplexed Illumination for Scene Recovery in the Presence of Global Illumination
Global illumination effects such as inter-reflections and subsurface scattering result in systematic, and often significant errors in scene recovery using active illumination. R...
Jinwei Gu, Toshihiro Kabayashi, Mohit Gupta, Shree...
SOCIALCOM
2010
13 years 5 months ago
Structural Predictors of Tie Formation in Twitter: Transitivity and Mutuality
-- New ties are often formed between people who already have friends in common. Though the social sciences have addressed the effects of existing structural patterns on the formati...
Scott A. Golder, Sarita Yardi
ECIS
2001
13 years 8 months ago
Perspectives on IT Outsourcing Success: Covariance Structure Modelling of a Survey of Outsourcing in Australia
Australia has been at the forefront of the adoption of outsourcing as a means for delivering IT services, but the success of IT outsourcing in Australia has been mixed. With two h...
Anne C. Rouse, Brian J. Corbitt, Benoit Aubert
CCE
2008
13 years 7 months ago
Structured modeling for processes: A thermodynamical network theory
We review the use of bond graphs for modeling of physico-chemical processes. We recall that bond graphs define a circuit-type language which root on a thermodynamical consistent d...
Françoise Couenne, Christian Jallut, Bernha...