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ICONIP
2004
13 years 8 months ago
An Auxiliary Variational Method
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
Felix V. Agakov, David Barber
JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
Variational Relevance Vector Machine for Tabular Data
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
CC
2010
Springer
179views System Software» more  CC 2010»
14 years 2 months ago
Validating Register Allocation and Spilling
Abstract. Following the translation validation approach to highassurance compilation, we describe a new algorithm for validating a posteriori the results of a run of register alloc...
Silvain Rideau, Xavier Leroy
ICPR
2008
IEEE
14 years 1 months ago
Symmetric segment-based stereo matching of motion blurred images with illumination variations
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under ch...
Wei Wang, Yizhou Wang, Longshe Huo, Qingming Huang...
ECAL
2003
Springer
14 years 19 days ago
Semantic Generalisation and the Inference of Meaning
Abstract. In this paper, a computational model of a successful negotiated communication system is presented, in which language agents develop their own meanings in response to thei...
Andrew D. M. Smith