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This paper proposes a texture feature which is applied on human breast Optical Coherence Microscopy (OCM) images to classify different types of breast tissues. Inspired by local binary pattern (LBP) texture features, a new variant of LBP feature, block based LBP (BLBP) is proposed. Instead of representing intensity differences between neighbors and a center pixel, BLBP feature extracts the intensity...
Individual credit risk evaluation is an important and challenging data mining problem in financial analysis domain. This paper compares the effectiveness of four data mining algorithms - logistic regression (LR), decision tree (C4.5), support vector machine (SVM) and neural networks (NN) by applying them to two credit data sets. Experiment results show that the LR and SVM algorithms produced the best...
This paper introduces a long-range multi-biometric system by integrating hierarchical camera system design, human detection and tracking, face detection and pose estimation, NIR laser illumination, and iris acquisition by a PTU and long focal length zoom lens. The system proposed by the paper is sound. Hierarchical design and error-correction steps are introduced in an attempt to make the system robust...
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