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» Texture Feature Extraction and Classification
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ICTAI
1992
IEEE
15 years 6 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
ICRA
2005
IEEE
131views Robotics» more  ICRA 2005»
15 years 8 months ago
Multifunctional Whisker Arrays for Distance Detection, Terrain Mapping, and Object Feature Extraction
: Several species of animals use whiskers to accurately navigate and explore objects in the absence of vision. We have developed inexpensive arrays of artificial whiskers based on ...
Aimee Schultz, Joseph Solomon, Michael A. Peshkin,...
ICIP
2006
IEEE
16 years 4 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
111
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ICDAR
2007
IEEE
15 years 8 months ago
A Proposition of Retrieval Tools for Historical Document Images Libraries
In this article, we propose a method of characterization of pictures of old documents based on a texture approach. This characterization is carried out with the help of a multires...
Nicholas Journet, Jean-Yves Ramel, Rémy Mul...
ECCV
2006
Springer
16 years 4 months ago
Maximally Stable Local Description for Scale Selection
Scale and affine-invariant local features have shown excellent performance in image matching, object and texture recognition. This paper optimizes keypoint detection to achieve sta...
Cordelia Schmid, Gyuri Dorkó