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143
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ICPR
2006
IEEE
16 years 4 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
CORR
2010
Springer
64views Education» more  CORR 2010»
15 years 3 months ago
Dominion -- A constraint solver generator
Abstract This paper proposes a design for a system to generate constraint solvers that are specialised for specific problem models. It describes the design in detail and gives prel...
Lars Kotthoff
97
Voted
CP
2005
Springer
15 years 9 months ago
Towards the Systematic Generation of Channelling Constraints
Abstract. The automatic modelling tool Conjure generates CSP models from problem specifications. The generated models may contain multiple alternative (redundant) representations ...
Bernadette Martínez Hernández, Alan ...
ACL
2010
15 years 1 months ago
How Many Words Is a Picture Worth? Automatic Caption Generation for News Images
In this paper we tackle the problem of automatic caption generation for news images. Our approach leverages the vast resource of pictures available on the web and the fact that ma...
Yansong Feng, Mirella Lapata
NAACL
2001
15 years 4 months ago
Generating Training Data for Medical Dictations
In automatic speech recognition (ASR) enabled applications for medical dictations, corpora of literal transcriptions of speech are critical for training both speaker independent a...
Sergey V. Pakhomov, Michael Schonwetter, Joan Bach...