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» Embedding Heterogeneous Data Using Statistical Models
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ESANN
2004
13 years 11 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
ICASSP
2008
IEEE
14 years 4 months ago
On the capacity of orientation modulation halftone channels
Clustered-dot halftones are extensively utilized in hardcopy printing. Modulation of the dot orientation in these halftones offers an avenue for data embedding which has been expl...
Orhan Bulan, Gaurav Sharma, Vishal Monga
LREC
2010
162views Education» more  LREC 2010»
13 years 11 months ago
The Ariadne System: A Flexible and Extensible Framework for the Modeling and Storage of Experimental Data in the Humanities
This paper introduces the Ariadne Corpus Management System. First, the underlying data model is presented which enables users to represent and process heterogeneous data sets with...
Peter Menke, Alexander Mehler
EMNLP
2009
13 years 8 months ago
Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
Matti Kääriäinen
LREC
2010
143views Education» more  LREC 2010»
13 years 11 months ago
A Flexible Representation of Heterogeneous Annotation Data
This paper describes a new flexible representation for the annotation of complex structures of metadata over heterogeneous data collections containing text and other types of medi...
Richard Johansson, Alessandro Moschitti