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ECCV
2006
Springer
16 years 6 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
CVPR
2007
IEEE
15 years 10 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
ICN
2007
Springer
15 years 10 months ago
Toward Broad-Spectrum Autonomic Management
— The fields of autonomics and system configuration share a common goal in decreasing the cost of ownership of large fabrics. In this paper we present a combined vision in whic...
Edmund Smith, Paul Anderson
IFIP
2000
Springer
15 years 7 months ago
Process as Theory in Information Systems Research
Many researchers have searched for evidence of organizational improvements from the huge sums invested in ICT. Unfortunately, evidence for such a pay back is spotty at best (e.g.,...
Kevin Crowston
144
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GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
15 years 9 months ago
Achieving Shorter Search Times in Voice Conversion Using Interactive Evolution
We have already proposed using evolutionary computation to adjust the voice quality conversion parameters, and we have reported that this approach produces results that are not onl...
Yuji Sato