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ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 9 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....
CIVR
2007
Springer
14 years 4 months ago
Comparison of face matching techniques under pose variation
The ability to match faces in video is a crucial component for many multimedia applications such as searching and recognizing people in semantic video browsing, surveillance and h...
Bart Kroon, Alan Hanjalic, Sabri Boughorbel
ENDM
2010
167views more  ENDM 2010»
13 years 7 months ago
Column Generation based Primal Heuristics
In the past decade, significant progress has been achieved in developing generic primal heuristics that made their way into commercial mixed integer programming (MIP) solver. Exte...
C. Joncour, S. Michel, R. Sadykov, D. Sverdlov, Fr...
AOSD
2006
ACM
14 years 3 months ago
Doxpects: aspects supporting XML transformation interfaces
In the web services environment software development can involve writing both object-oriented programs and XML transformations. This can be seen in the popular Web Services archit...
Eric Wohlstadter, Kris De Volder
RTSS
2003
IEEE
14 years 3 months ago
JAM: A Jammed-Area Mapping Service for Sensor Networks
Preventing denial-of-service attacks in wireless sensor networks is difficult primarily because of the limited resources available to network nodes and the ease with which attacks...
Anthony D. Wood, John A. Stankovic, Sang Hyuk Son