"Robust super- resolution by minimizing a Gaussian-weighted L2 error norm." Journal of Physics: Conference Series 124, 4th AIP International Conference and the 1st Congress of the IPIA (2008): 1-8.T. Q. Pham, L. v Vliet, K. Schutte, Robust super-resolution by mini- mizing a gaussian...
paddle2.5.2不存在paddle.fluid.layers.l2_normalize與paddle.fluid.layers.nn.l2_normalize函數 程式區塊: norm_feature = paddle.fluid.layers.l2_normalize(total_feature, axis=1) norm_weight = paddle.fluid.layers.l2_normalize(weight, axis=0) ''' Traceback (most recent call last): File "tools/tra...
Nonlinear phase FIR filter design according to the L2 norm with constraints for the complex error Bamberger, “Nonlinear phase FIR filter design according to the L 2 norm with constraints for the complex error,” Signal Processing vol. 36, pp. 31–... Markus,Lang,and,... - 《Signal ...
获取系统错误消息字符串(strerror、_wcserror)或格式化用户提供的错误消息字符串(_strerror、__wcserror)。 这些功能有更安全的版本可用;请参阅strerror_s、_strerror_s、_wcserror_s、__wcserror_s。 语法 C char*strerror(interrnum );char* _strerror(constchar*strErrMsg );wchar_t* _wcserror(interrnum ...
In the case of multiple grids, both superconvergence error in H1-norm and the optimal error in l2-norm are analyzed. The numerical experiment shows the advantage of EXCMG in comparison with CMG. DOI: CNKI:SUN:SXWY.0.2009-03-007 年份: 2009 ...
We examine the problem of approximating a complex frequency response by a real-valued FIR filter according to the L2 norm subject to additional inequality constraints for the complex error function. Starting with the Kuhn-Tucker optimality conditions which specialize to a system of nonlinear equations...
[ec2-user@ip-172-31-15-62 darknet]$ ./darknet imtest data/eagle.jpg L2 Norm: 372.007568 OpenCV Error: Unspecified error (The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-...
While conventional wavelet synopses are based on greedily minimizing the overall root-mean-squared (i.e., L2-norm) error in the data approximation, recent work has demonstrated that such synopses can suffer from important problems, including severe bias and wide variance in the quality of the ...
{ step: 1200000 learning_rate: 1.99999999495e-06 } } } momentum_optimizer_value: 0.899999976158 } use_moving_average: false } gradient_clipping_by_norm: 10.0 fine_tune_checkpoint: "/home/lashiv/obj-detect/sop/models/model.ckpt.index" from_detection_checkpoint: true num_steps: 200000 } ...
In this paper we propose a simple framework to enhance the perceptual fidelity awareness of MSE by introducing an l2-norm structural error term to it. Such a Structural MSE (SMSE) can lead to very competitive image quality assessment (IQA) results. More surprisingly, we show that by using ...