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LDA is a widely-used supervised pattern recognition technique.
These approaches based on the pattern recognition technique.
Recognition reliability and speed are the two most important parameters of a star pattern recognition technique.
The most advanced and universal of them are the methods of pattern recognition technique.
A most practical of them is provided by the pattern recognition technique known as support vector machines.
We have recently developed an efficient and accurate 3D alignment algorithm based on a pattern recognition technique [1].
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The proposed idea is also benchmarked with the state-of-the-art star pattern recognition techniques.
Thus, various machine learning and pattern recognition techniques have been proposed to detect breast cancer.
Image processing and pattern recognition techniques offer effective ways of doing this.
Basically, the algorithm adopts normal pattern recognition techniques to detect which part it belongs to.
First, external openings in facades are detected by pattern recognition techniques (a).
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