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» MS-TDNN with Global Discriminant Trainings
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ACL
2006
13 years 6 months ago
A Discriminative Global Training Algorithm for Statistical MT
This paper presents a novel training algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the global scoring...
Christoph Tillmann, Tong Zhang
ICDAR
2005
IEEE
13 years 10 months ago
MS-TDNN with Global Discriminant Trainings
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Émilie Caillault, Christian Viard-Gaudin, A...
ICASSP
2008
IEEE
13 years 11 months ago
Discriminative training by iterative linear programming optimization
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Brian Mak, Benny Ng
CVPR
2010
IEEE
14 years 17 days ago
A Globally Optimal Data-Driven Approach for Image Distortion Estimation
Image alignment in the presence of non-rigid distortions is a challenging task. Typically, this involves estimating the parameters of a dense deformation field that warps a disto...
Yuandong Tian, Srinivasa Narasimhan
ECCV
2008
Springer
14 years 6 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele