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NAACL
2003
14 years 11 months ago
A Generative Probabilistic OCR Model for NLP Applications
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing f...
Okan Kolak, William J. Byrne, Philip Resnik
67
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NIPS
2003
14 years 11 months ago
A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments
We present a novel connectionist model for acquiring the semantics of a simple language through the behavioral experiences of a real robot. We focus on the “compositionality” ...
Yuuya Sugita, Jun Tani
SERP
2003
14 years 11 months ago
FAR: An Editing Tool for Standard Information Generation
It’s difficult for administrators to retrieve information from reports that are generated by different people with different computer platforms, word processors, and interpretat...
Tao Zhang, H. Conrad Cunningham, Jian Li
SIP
2003
14 years 11 months ago
Object Structure from Noisy Images
We describe the establishment of a compound object model for object recognition purposes which provides the frame for the extraction of object structure from images degraded by no...
Gabriele Peters
JMLR
2006
115views more  JMLR 2006»
14 years 9 months ago
Structured Prediction, Dual Extragradient and Bregman Projections
We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
Benjamin Taskar, Simon Lacoste-Julien, Michael I. ...