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» Tensor space model for document analysis
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EMNLP
2010
13 years 6 months ago
Translingual Document Representations from Discriminative Projections
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
John Platt, Kristina Toutanova, Wen-tau Yih
ISSE
2010
13 years 6 months ago
URDAD as a semi-formal approach to analysis and design
The Use Case, Responsibility Driven Analysis and Design (URDAD) methodology is a methodology for technology neutral design generating the Platform Independent Model of the Object M...
Fritz Solms, Dawid Loubser
ICDAR
2009
IEEE
14 years 3 months ago
A New Approach for Skew Correction of Documents Based on Particle Swarm Optimization
This paper presents a novel approach for skew correction of documents. Skew correction is modelled as an optimization problem, and for the first time, Particle Swarm Optimization...
Javad Sadri, Mohamed Cheriet
ICDAR
2009
IEEE
13 years 6 months ago
Using top n Recognition Candidates to Categorize On-line Handwritten Documents
The traditional weighting schemes used in text categorization for the vector space model (VSM) cannot exploit information intrinsic to texts obtained through on-line handwriting r...
Sebastián Peña Saldarriaga, Emmanuel...
CIKM
2010
Springer
13 years 7 months ago
What can quantum theory bring to information retrieval
The probabilistic formalism of quantum physics is said to provide a sound basis for building a principled information retrieval framework. Such a framework can be based on the not...
Benjamin Piwowarski, Ingo Frommholz, Mounia Lalmas...