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» Graph model selection using maximum likelihood
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NOLISP
2007
Springer
14 years 3 months ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
IJCV
2006
116views more  IJCV 2006»
13 years 9 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...
STTT
2010
134views more  STTT 2010»
13 years 7 months ago
A case study to evaluate the suitability of graph transformation tools for program refactoring
This article proposes a case study to evaluate the suitability of graph transformation tools for program refactoring. In order to qualify for this purpose, a graph transformation s...
Francisco Javier Pérez, Yania Crespo, Berth...
DAGM
2009
Springer
14 years 3 months ago
Simultaneous Estimation of Pose and Motion at Highly Dynamic Turn Maneuvers
Abstract. The (Extended) Kalman filter has been established as a standard method for object tracking. While a constraining motion model stabilizes the tracking results given noisy...
Alexander Barth, Jan Siegemund, Uwe Franke, Wolfga...
ICASSP
2008
IEEE
14 years 3 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee