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People take regular medical examinations mostly not for discovering diseases but for having a peace of mind regarding their health status. Therefore, it is important to give them an overall feedback with respect to all the health indicators that have been ranked against the whole population. In this paper, we propose a framework of mining Personal Health Index (PHI) from a large and comprehensive...
In this paper, a novel hybrid method named the LFDA_SVM, which integrates a new feature extraction method and a classification algorithm, has been introduced for diagnosing hepatitis disease. The two integrated methods are the local fisher discriminant analysis (LFDA) and the supporting vector machine (SVM), respectively. In the proposed LFDA_SVM, the LFDA is employed as a feature extraction tool...
In the kernel methods, it is very important to choose a proper kernel function to avoid overlapping data. Based this fact, in this paper we mainly utilize a unified kernel optimization framework on the hyperspectral image classification to augment the margin between different classes, and under the kernel optimization framework, to employ the Fisher discriminant criteria formulated in a pairwise manner...
A 671G0PS/W Semantic Analysis SoC (SASoC) is implemented in 90 nm CMOS technology. Two stream processing systems are integrated with a power-aware frequency scaling technique to simultaneously accelerate video processing and machine-learning algorithms. The input data rate reaches 76.8 Gpixel/s for video processing and 51.2 Gdimension/s for machine-learning algorithms.
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