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Hessian-based-norm-regularization-for
- gabor filter for denoising
bushiding
- 一篇学位论文，主要介绍不适定问题的正则化理论及其应用，希望对大家有所帮助-A degree thesis, mainly introduces ill-posed problem regularization theory and its application, and I hope to help
ADL32-Lecture03-Report1.rar
- CRFsuite: a fast implementation of Conditional Random Fields (CRFs) CRFSuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. The first priority of this software is to train and use CRF models as fast as possi
A-Spectral-Approach-EMD
- Although it has been proven to be particularly effective in many applications,EMD method has several drawbacks. The major problem with EMD is the lack of theoretical Framework which leads to difficulties for the characterization and evaluatio
A-NEW-METHOD-FOR-GABOR-MULTIPLIER
- This work addresses the analysis of families of sound signals through linear transformations that map signals to each other. These transformations are modeled as Gabor multipliers, which are defined by point wise multiplication with a given transfer
EEG-cortical-imaging
- 我们推出基于矢量场正规化的方法通过扩散去噪拉普拉斯的数据，从而获得稳健估计。-We introduce a method based on vector field regularization through diffusion for denoising the Laplacian data and thus obtain robust estimation.
Registration-method4
- 基于特征的自适应正则化配准算法,摆脱了局部极小值的困扰，得到了正确的配准结果-Feature-based adaptive regularization registration algorithm, to get rid of the problems of local minima, and get the correct registration results
V1I3_IJERTV1IS3037
- Image Segmentation is one of the significant elements in the part of image processing. It becomes most essential demanding factor while typically dealing with medical image segmentation. In this paper, proposal of our work comprises of formation
Image-deblurring-regularization
- Steve Eddins 所写的一篇关于运用正则化方法实现图像恢复的博客文章-Steve Eddins wrote an article about the use of regularization method of image restoration blog articles
cnn_tutorial.pdf
- 本文档讨论和实现了卷积神经网络， 并且进行了延伸。非常重要的资料，对于深度学习有很重要的借鉴意义。 -This document discusses the derivation and implementation of convolutional neural networks (CNNs), followed by a few straightforward extensions. Convolutional neural networks involve many more connec
Tikhonov
- 不适定问题的迭代Tikhonov正则化方法，介绍了Tikhonov正则化方法解决不定适问题-An iterative Tikhonov regularization method for ill posed problems is introduced, and the Tikhonov regularization method is introduced to solve the ill posed problem