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GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
13 years 12 months ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
WACV
2005
IEEE
14 years 9 days ago
Shared Features for Scalable Appearance-Based Object Recognition
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
Erik Murphy-Chutorian, Jochen Triesch
ACII
2005
Springer
14 years 5 days ago
Physiological Sensing and Feature Extraction for Emotion Recognition by Exploiting Acupuncture Spots
Previous emotion recognition systems have mainly focused on pattern classification, rather than utilizing sensing technologies or feature extraction methods. This paper introduces ...
Ahyoung Choi, Woontack Woo
ICCTA
2007
IEEE
13 years 10 months ago
Chromatogram Image Pre-Processing and Feature Extraction for Automatic Soil Analysis
A circular paper chromatogram is obtained from an alkaline solution of silver nitrate and soil. The shape, size, color and textural patterns of the chromatogram image are hypothes...
Variganti Saritha, Mary Joseph Minu, Sukhendu Das,...
ICDAR
2011
IEEE
12 years 6 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin