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ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 7 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
FTDB
2007
95views more  FTDB 2007»
15 years 7 months ago
Architecture of a Database System
Database Management Systems (DBMSs) are a ubiquitous and critical component of modern computing, and the result of decades of research and development in both academia and industr...
Joseph M. Hellerstein, Michael Stonebraker, James ...
OSN
2008
83views more  OSN 2008»
15 years 7 months ago
Path selection in user-controlled circuit-switched optical networks
User-controlled circuit-switched optical networks are gaining popularity in an effort to fulfill the insatiable data transport needs of the online community. In this paper we cons...
Wojciech M. Golab, Raouf Boutaba
PAMI
2006
142views more  PAMI 2006»
15 years 7 months ago
Fingerprint Warping Using Ridge Curve Correspondences
The performance of a fingerprint matching system is affected by the nonlinear deformation introduced in the fingerprint impression during image acquisition. This nonlinear deformat...
Arun Ross, Sarat C. Dass, Anil K. Jain
PAMI
2006
111views more  PAMI 2006»
15 years 7 months ago
Stereo Matching with Linear Superposition of Layers
In this paper, we address stereo matching in the presence of a class of non-Lambertian effects, where image formation can be modeled as the additive superposition of layers at diff...
Yanghai Tsin, Sing Bing Kang, Richard Szeliski
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