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CORR
2006
Springer
82views Education» more  CORR 2006»
15 years 4 months ago
Explicit Randomness is not Necessary when Modeling Probabilistic Encryption
Although good encryption functions are probabilistic, most symbolic models do not capture this aspect explicitly. A typical solution, recently used to prove the soundness of such ...
Véronique Cortier, Heinrich Hördegen, ...
CVPR
2005
IEEE
16 years 6 months ago
A High Resolution Grammatical Model for Face Representation and Sketching
In this paper we present a generative, high resolution face representation which extends the well-known active appearance model (AAM)[5, 6, 7] with two additional layers. (i) One ...
Zijian Xu, Hong Chen, Song Chun Zhu
ICML
2009
IEEE
16 years 5 months ago
Factored conditional restricted Boltzmann Machines for modeling motion style
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
Graham W. Taylor, Geoffrey E. Hinton
WSC
2000
15 years 5 months ago
Teaching system modeling, simulation and validation
Simulation is used in the design process of dynamic systems. The results of simulation are employed for validating a model, and they are helpful for the improvement of the design ...
Jörg Desel
WABI
2009
Springer
128views Bioinformatics» more  WABI 2009»
15 years 11 months ago
Improving Inference of Transcriptional Regulatory Networks Based on Network Evolutionary Models
Abstract. Computational inference of transcriptional regulatory networks remains a challenging problem, in part due to the lack of strong network models. In this paper we present e...
Xiuwei Zhang, Bernard M. E. Moret