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DAGM
2008
Springer
15 years 8 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...
NIPS
2003
15 years 8 months ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
UAI
2007
15 years 7 months ago
Library-style Ontologies to Support Varying Model Views
The next development in building Bayesian networks will most likely entail constructing multipurpose models that can be employed for varying tasks and by different types of user. ...
Hermina J. M. Tabachneck-Schijf, Linda C. van der ...
IJON
2007
84views more  IJON 2007»
15 years 6 months ago
Modeling self-developing biological neural networks
Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
Hugues Berry, Olivier Temam
IAJIT
2010
81views more  IAJIT 2010»
15 years 5 months ago
Credit Scoring Models Using Soft Computing Methods: A Survey
: During the last fifteen years, soft computing methods have been successfully applied in building powerful and flexible credit scoring models and have been suggested to be a possi...
Adel Lahsasna, Raja Noor Ainon, Teh Ying Wah