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» Production of Large Computer Programs
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CVPR
2006
IEEE
14 years 11 months ago
Solving Markov Random Fields using Second Order Cone Programming Relaxations
This paper presents a generic method for solving Markov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solvi...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
SCP
2008
150views more  SCP 2008»
13 years 9 months ago
Google's MapReduce programming model - Revisited
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Ralf Lämmel
ICSE
2003
IEEE-ACM
14 years 9 months ago
Whole Program Path-Based Dynamic Impact Analysis
Impact analysis, determining when a change in one part of a program affects other parts of the program, is timeconsuming and problematic. Impact analysis is rarely used to predict...
James Law, Gregg Rothermel
SIGMOD
2005
ACM
141views Database» more  SIGMOD 2005»
14 years 9 months ago
Integrating databases and workflow systems
There has been an information explosion in fields of science such as high energy physics, astronomy, environmental sciences and biology. There is a critical need for automated sys...
Srinath Shankar, Ameet Kini, David J. DeWitt, Jeff...
APSEC
2002
IEEE
14 years 2 months ago
Lessons Learned in Framework-Based Software Process Improvement
Software process improvement (SPI) has emerged as a critical area for organizations involved in software development. There is now considerable evidence that SPI can provide subst...
Pankaj Jalote