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DAGM
2008
Springer
15 years 6 months ago
Learning Visual Compound Models from Parallel Image-Text Datasets
Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
153
Voted
NAACL
2007
15 years 6 months ago
Joint Morphological-Lexical Language Modeling for Machine Translation
We present a joint morphological-lexical language model (JMLLM) for use in statistical machine translation (SMT) of language pairs where one or both of the languages are morpholog...
Ruhi Sarikaya, Yonggang Deng
NECO
1998
119views more  NECO 1998»
15 years 4 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
SYNTHESE
2011
72views more  SYNTHESE 2011»
14 years 11 months ago
Science without (parametric) models: the case of bootstrap resampling
Scientific and statistical inferences build heavily on explicit, parametric models, and often with good reasons. However, the limited scope of parametric models and the increasin...
Jan Sprenger
174
Voted
EUROCRYPT
2011
Springer
14 years 8 months ago
Concurrent Composition in the Bounded Quantum Storage Model
We define the BQS-UC model, a variant of the UC model, that deals with protocols in the bounded quantum storage model. We present a statistically secure commitment protocol in th...
Dominique Unruh