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This paper presents a memetic algorithm based new approach to feature selection in face recognition. In this work, principal component analysis (PCA) has been used for dimensionality reduction/feature extraction and memetic algorithms have been applied for selection of features in face recognition application. ORL face database has been used for performing the experiments. The results indicate that...
Optofluidic intracavity spectroscopy was used to realize label-free detection of single biological cells, including yeast cells and human blood cells, as well as polystyrene spheres in a microfluidic Fabry-Perot cavity. The design, fabrication, and testing of the cavities are discussed, along with the sensing mechanism. The resonant conditions of the microfluidic cavity were modified by the cells...
Biological cells inside an optofluidic cavity modify the optical cavity modes, providing a probe for optical properties of the cells that can be used to detect and differentiate single cells. Transmission spectra of single biological cells including yeast cells and human blood cells as well as polystyrene spheres in a microfluidic Fabry-Perot cavity fabricated on glass substrates are measured and...
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