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» A Model Driven Framework for IT Transformation
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ICCV
2009
IEEE
15 years 4 months ago
Constructing implicit 3D shape models for pose estimation
We present a system that constructs "implicit shape models" for classes of rigid 3D objects and utilizes these models to estimating the pose of class instances in single...
Mica Arie-Nachimson, Ronen Basri
INTERSPEECH
2010
15 years 1 months ago
Discriminative adaptation for log-linear acoustic models
Log-linear models have recently been used in acoustic modeling for speech recognition systems. This has been motivated by competitive results compared to systems based on Gaussian...
Jonas Lööf, Ralf Schlüter, Hermann ...
ICASSP
2011
IEEE
14 years 10 months ago
Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
Balakrishnan Varadarajan, Garimella S. V. S. Sivar...
DAGM
2009
Springer
16 years 27 days ago
Deformation-Aware Log-Linear Models
Abstract. In this paper, we present a novel deformation-aware discriminative model for handwritten digit recognition. Unlike previous approaches our model directly considers image ...
Tobias Gass, Thomas Deselaers, Hermann Ney
ISCI
2007
151views more  ISCI 2007»
15 years 6 months ago
Enriching the ER model based on discovered association rules
The entity–relationship (ER) model, a powerful means for business and data modeling, needs to be enriched with new semantics as the real world changes and its understanding impr...
Guoqing Chen, Ming Ren, Peng Yan, Xunhua Guo