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» Robustness and Generalization
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140
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ICPR
2002
IEEE
16 years 6 months ago
Category-Dependent Feature Extraction for Recognition of Degraded Handwritten Characters
Conventional methods for recognizing multiple fonts and handwriting are generally robust against deformation but are weak against degradation. This paper proposes a category-depen...
Minoru Mori, Minako Sawaki, Norihiro Hagita
158
Voted
ICDAR
2003
IEEE
15 years 10 months ago
Video text recognition using feature compensation as category-dependent feature extraction
When recognizing multiple fonts, geometric features, such as the directional information of strokes, are generally robust against deformation but are weak against degradation. Thi...
Minoru Mori
ITICSE
1997
ACM
15 years 9 months ago
A genetic algorithms tutorial tool for numerical function optimisation
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...
Edmund K. Burke, D. B. Varley
FSTTCS
1991
Springer
15 years 8 months ago
Randomizing Reductions of Search Problems
This paper closes a gap in the foundations of the theory of average case complexity. First, we clarify the notion of a feasible solution for a search problem and prove its robustne...
Andreas Blass, Yuri Gurevich
147
Voted
CORR
2008
Springer
118views Education» more  CORR 2008»
15 years 5 months ago
On Affinity Measures for Artificial Immune System Movie Recommenders
We combine Artificial Immune Systems (AIS) technology with Collaborative Filtering (CF) and use it to build a movie recommendation system. We already know that Artificial Immune Sy...
Uwe Aickelin, Qi Chen