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This paper introduces a fast blind deconvolution strategy for image deblurring by modifying a recent natural image model, i.e., the total generalized variation (TGV), which aims at reconstructing an image with higher-order smoothness as well as sharp edges. But, when it turns to the blind issue, as demonstrated either empirically or theoretically by a few previous blind deblurring works, natural image...
Feature selection is an effective technique for dimensionality reduction to get the most useful information from huge raw data. Many spectral feature selection algorithms have been proposed to address the unsupervised feature selection problem, but most of them fail to pay attention to the noises induced during the feature selection process. In this paper, we not only consider the feature structural...
This paper presents the design and implementation of a highly efficient Double-precision General Matrix Multiplication (DGEMM) based on Open BLAS for 64-bit ARMv8 eight-core processors. We adopt a theory-guided approach by first developing a performance model for this architecture and then using it to guide our exploration. The key enabler for a highly efficient DGEMM is a highly-optimized inner kernel...
Stock market is an important and active part of nowadays financial markets. Stock time series volatility analysis is regarded as one of the most challenging time series forecasting due to the hard-to-predict volatility observed in worldwide stock markets. In this paper we argue that the stock market state is dynamic and invisible but it will be influenced by some visible stock market information....
Molecular Dynamics (MD) simulations have been widely used in the study of macromolecules. To ensure an acceptable level of statistical accuracy relatively large number of particles are needed, which calls for high performance implementations of MD. These days heterogeneous systems, with their high performance potential, low power consumption, and high price-performance ratio, offer a viable alternative...
A method of milling system operation optimization is proposed in this paper. First, use Support Vector Machine to get the relations between milling unit consumption and its related operation parameters. Second, optimize the model with the help of genetic algorithm and composite algorithm, and then optimal operation parameters of this milling system under different working conditions are got, which...
Voronoi diagram(VD) is a fundamental data structure in computational geometry. With the rapid development of programmable graphics programmable units, utilizing GPU to construct VD has been an optimal strategy. Considering the bridles of state-of-art algorithms, a seed flooding algorithm(SFA) is presented to achieve both robustness and high performance. The experimental results shows that SFA can...
In this paper, we address a challenging problem of multi-focusing image from a single photograph taken with an uncalibrated conventional camera. In order to achieve this, we firstly derive an optical degradation model which enables us to adopt a point operation scheme to realize image multi-focusing. This scheme can effectively reduce halo artifacts in the refocused image and greatly improve the computational...
In this paper, we have applied the support vector machine (SVM) in the fetal ECG extraction. The fetal ECG is obtained by subtracting the estimated maternal ECG from the abdominal signal. We evaluate the performance of three types of kernel function in the SVM: linear kernel, polynomial kernel and RBF kernel. The visual quality of the extracted fetal ECG shows that linear kernel fails to suppress...
In this paper, we describe our experiment developing an implementation of the Linpack benchmark for TianHe-1, a petascale CPU/GPU supercomputer system, the largest GPU-accelerated system ever attempted before. An adaptive optimization framework is presented to balance the workload distribution across the GPUs and CPUs with the negligible runtime overhead, resulting in the better performance than the...
This paper designs a powerful Web-based gateway for the on-site monitoring equipment network composed by RS-485, CAN and other communication protocols, thus to bridge between them and the Internet, allowing remote users can browse and manage these on-site monitoring equipments through browser anytime and anywhere. It also describes a method to optimize the network module based on applications, introduces...
Solving complex convection-diffusion equations is very important to many practical mathematical and physical problems. After the finite difference discretization, most of the time for equations solution is spent on sparse linear equation solvers. In this paper, our goal is to solve 2D Nonlinear Unsteady Convection-Diffusion Equations by accelerating an iterative algorithm named Jacobi-preconditioned...
In the previous study of dynamic packet filtering technique, Counting Bloom Filter (CBF) algorithm was adopted to implement the filtering rule's adding and deleting dynamically. However, the drawbacks of CBF, i.e., low memory utilization, limited rule capacity and high false positive rate, are obvious. In this paper, d-left Counting Bloom Filter (d-left CBF) algorithm is exploited to improve the performance...
In this paper, we propose a new method of designing and constructing ldquogoodrdquo mappings defined by kernel functions for classification task, called Optimal Successive Mappings (OSM). Kernel methods, such as Support Vector Machines (SVM), could not provide satisfactory classification accuracy on some complicated data sets, which are still not linearly separable in feature space. It means kernels...
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