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CVPR
2007
IEEE
14 years 1 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
EMMCVPR
1999
Springer
13 years 11 months ago
A New Algorithm for Energy Minimization with Discontinuities
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. These tasks can be formulated as energy minimization problems. In this paper, we conside...
Yuri Boykov, Olga Veksler, Ramin Zabih
ATAL
2009
Springer
14 years 2 months ago
Evaluating hybrid constraint tightening for scheduling agents
Hybrid Scheduling Problems (HSPs) combine temporal and finite-domain variables via hybrid constraints that dictate that specific bounds on temporal constraints rely on assignments...
James C. Boerkoel Jr., Edmund H. Durfee
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 4 months ago
Cause Clue Clauses: Error Localization using Maximum Satisfiability
Much effort is spent everyday by programmers in trying to reduce long, failing execution traces to the cause of the error. We present a new algorithm for error cause localization ...
Manu Jose, Rupak Majumdar
AAAI
2004
13 years 8 months ago
Interactive Information Extraction with Constrained Conditional Random Fields
Information Extraction methods can be used to automatically "fill-in" database forms from unstructured data such as Web documents or email. State-of-the-art methods have...
Trausti T. Kristjansson, Aron Culotta, Paul A. Vio...