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In recent years, 3-dimension convolutional neural networks (3D CNNs) have been widely used for video analysis, 3-dimension geometric data and medical image diagnosis. While conventional CNNs are computationally intensive, 3D CNNs push the computational requirements into another level, since each computation depends on multiple image frames. This paper describes a novel hardware architecture for a...
Canonical correlation analysis (CCA) has been used for concurrent quality and process monitoring to extract multidimensional correlation structure between process and quality variables. In this paper, a new kernel concurrent CCA (KCCCA) algorithm is proposed for quality-relevant nonlinear process monitoring, which decomposes the original space into five subspaces, including correlation subspace, quality-principal...
Canonical correlation analysis(CCA) is a popular technique that works for finding the correlation between two sets of variables. However, CCA faces the problem of small sample size in dealing with high dimensional data. Several approaches have been proposed to overcome this issue, but the resulting transformation matrix fails to extract shared structures among data samples. In this paper, we propose...
Spectral-based hashing (SpH) is the most used method for cross-view hash function learning (CVHFL). However, the following three problems are shared by many existing SpH methods. Firstly, preserving intra- and inter-similarity simultaneously increases models' complexity significantly. Secondly, linear model applied in many SpH methods is hard to handle multimodal data in cross-view scenarios. Thirdly,...
Virtualization technologies have been explored to mitigate the vulnerabilities in the current TCG architecture. But only a small number of efforts address the handling of the detected TCG TOCTOU attacks. This paper aims to defeat TCG TOCTOU attacks occurring in Xen hardware virtual machines. We propose an efficient response approach (ERA) in the environment of the Xen virtual machine monitor and the...
This paper proposes a new multi-angular & multi-spectral BRDF model (ASK Model) base on the kernel-driven conception, and outlines an algorithm suitable for broadband albedo retrieval with the new model. By adding component spectra into kernels as prior known driven variables, the new model express BRDF as a linear combination of wavelength independent kernel coefficients and kernels expressed...
Aiming at the deficiency of the current meridian diagnosis algorithms, SVM is applied to meridian diagnosis system. The system structure is described firstly, then the model selection of SVM is discussed in detail by taking chronic pharyngitis as an example: one-against-one method is used to realize multi-class; the problem of non-symmetrical samples of C-SVM is solved by giving positive and negative...
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