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ICPR
2002
IEEE
16 years 4 months ago
Graph of Neural Networks for Pattern Recognition
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Gr...
Hubert Cardot, Olivier Lezoray
KI
2009
Springer
15 years 9 months ago
Comparing Two Approaches for the Recognition of Temporal Expressions
Temporal expressions are important structures in natural language. In order to understand text, temporal expressions have to be extracted and normalized. In this paper we present a...
Oleksandr Kolomiyets, Marie-Francine Moens
FSMNLP
2008
Springer
15 years 4 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri

Book
640views
17 years 2 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
ICML
2006
IEEE
16 years 4 months ago
Constructing informative priors using transfer learning
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Rajat Raina, Andrew Y. Ng, Daphne Koller