We have applied the proposed algorithm to a large collection of images from various databases. The receiver operating characteristics shows that the proposed method is better than some state-of-the-art methods.doi:10.1186/s13640-017-0179-0Karsh, Ram Kumar...
We present a derivative-free method for solving systems of nonlinear equations that belongs to the class of spectral residual methods. We will show that by endowing a previous version of the algorithm with a suitable new linesearch strategy, standard global convergence results can be attained under...
此文件包括三个关于图像显著性的代码,每个模型单独成一个文件夹,并用其模型名称命名,三个模型分别是ITTi模型、GBVS模型和SR模型,这三个模型都是使用MATLAB实现的,下载后可以直接使用MATLAB运行,另文件附有一个链接。
Levy, B.: Laplace-beltrami eigenfunctions towards an algorithm that "understands" geometry. In: IEEE International Conference on Shape Modeling and Applications 2006 (SMI’06), pp. 13 (2006) Lingfei, L., Tieru, W.: Automatic spectral method of mesh segmentation based on fiedler residual. Chin...
(caused by the integration of spectral overlap) is formed behind each metalens and captured by the camera. Finally, utilizing the proposed light field spectrum reconstruction algorithm (an inherent convex optimization method), both “x + y + λ” and “x + y + z” imaging result of the ...
An algorithm for estimating the spectral envelope and the optimal scalings given a particular DNA sequence with alphabet S={c1,…,ck+1}, is as follows. 1. Given a DNA sequence of length n, form the k× 1 vectors Yt, t=1,…,n; namely, for j=1,…,k, Yt=ej if Xt=cj where ej...
The algorithm assumes that the 32 frequencies of this matrix are positioned on the edges of the subband spectra, the most conservative approach. Every block of 12 samples is converted to a floating-point notation; the mantissa determines resolution and the exponent controls dynamic range. As in ...
Another critical element to enable reliable automation is the provision of an estimate of data quality, as the devices in question have themselves limited resolution, which propagates into the algorithm. Given that such a method requires stable operating conditions, any deviation from them must be ...
We utilized the t-SNE algorithm to visualize the features extracted by SCNet and \(\textrm{SCNet}_{out\_conv}\) on three datasets: JapaneseVowels, SpokenArabicDigits, and UWaveGestureLibrary. As shown in Fig. 6, different colors represent data from different classes. The first column displays...
The pipeline of the proposed algorithm is shown in Fig. 1. We elaborate on the implementation of the training and testing sections of the pipeline in the rest of this section. Our discussion of these two section will comprise the following aspects. We start by giving more details on the rea...