"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...
{ 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 } ...
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 ...
(1, 2), norm=l2, preprocessor=None, smooth_idf=True, stop_words=english, strip_accents=None, sublinear_tf=True, token_pattern=\b(?!\d)\w\w+\b, tokenizer=None, use_idf=False, vocabulary=None). Feature extraction of training data done in 1246.51221013 seconds Number of samples in ...
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 ...