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UAI
1993
13 years 11 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
CRV
2008
IEEE
205views Robotics» more  CRV 2008»
14 years 4 months ago
Accurate Boundary Localization using Dynamic Programming on Snakes
The extraction of contours using deformable models, such as snakes, is a problem of great interest in computer vision, particular in areas of medical imaging and tracking. Snakes ...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 5 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
HPCC
2007
Springer
14 years 4 months ago
Online Algorithms for Single Machine Schedulers to Support Advance Reservations from Grid Jobs
Advance Reservations(AR) make it possible to guarantee the QoS of Grid applications by reserving a particular resource capability over a defined time interval on local resources. H...
Bo Li, Dongfeng Zhao
HAPTICS
2007
IEEE
14 years 4 months ago
Soft Finger Model with Adaptive Contact Geometry for Grasping and Manipulation Tasks
This paper presents a method for building analytical contact models for soft fingers. Friction constraints are derived based on general expressions for non-planar contacts of ela...
Matei T. Ciocarlie, Claire Lackner, Peter K. Allen