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» A Statistical Learning Approach To Document Image Analysis
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WWW
2008
ACM
16 years 6 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
FGR
2002
IEEE
186views Biometrics» more  FGR 2002»
15 years 11 months ago
Meta-Analysis of Face Recognition Algorithms
To obtain a quantitative assessment of the state of automatic face recognition, we performed a metaanalysis of performance results of face recognition algorithms in the literature...
P. Jonathon Phillips, Elaine M. Newton
DAS
2010
Springer
15 years 10 months ago
Memory-based recognition of camera-captured characters
This paper addresses how to quickly recognize a character pattern using a lot of case examples without learning. Here without learning means just finding the most similar example...
Masakazu Iwamura, Tomohiko Tsuji, Koichi Kise
PRL
2007
200views more  PRL 2007»
15 years 5 months ago
Generative learning of visual concepts using multiobjective genetic programming
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Krzysztof Krawiec
BLISS
2009
IEEE
15 years 7 months ago
Recognition of Dynamic Texture Patterns Using CHLAC Features
In this paper, we propose a statistical scheme for recognizing three-dimensional textures shown in motion images, which we call dynamic textures. The texture characteristics emerg...
Takumi Kobayashi, Tetsuya Higuchi, Tsuneharu Miyaj...