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机器学习、深度学习

专栏作者
382
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427725
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79
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Batch Normalization
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
用户1148525
2023-10-17
1380
Fundamental concepts about Optics
A particularly useful solution of the wave equation is a wave with a particular wavelength λ. This is known as the harmonic wave solution and corresponds to the case of monochromatic light
用户1148525
2023-10-17
1190
Fundamental concepts about Lithography
https://dunham.ece.uw.edu/ee528/notes/Chapter5.pdf Text: Silicon VLSI technology fundamentals, practice, and modeling
用户1148525
2023-10-17
1290
basics of level set
Level Set Method in Medical Imaging Segmentation p136
用户1148525
2022-11-06
2630
Image Segmentation Based on Active Contours without Edges
Nonlinear Anisotropic Diffusion 📷 📷 📷 📷 📷 📷 Active Contours without Edges 📷 📷 📷 📷
用户1148525
2022-11-06
2210
Segmentation under geometrical conditions using geodesic active contours and interpolation
Segmentation under geometrical conditions using geodesic active contours and interpolation using level set methods
用户1148525
2022-11-06
1900
Geodesic Active Contours
2.1 Energy Based Active Contours The classical snakes approach (Kass et al., 1988) associates the curve C with an energy given by
用户1148525
2022-11-06
5580
Lithography tutor
So how does this optical path difference affect the formation of an image? For light, the path lengt
用户1148525
2022-11-06
2650
fundamental of Level set method
Ref: Level Set Methods and Dynamic Implicit Surfaces
用户1148525
2022-10-28
4220
Anisotropic Diffusion in Image Processing 2
Parameter Adaptation for Nonlinear Diffusion in Image Processing
用户1148525
2022-10-06
2980
Anisotropic Diffusion in Image Processing (1)
Adaptive Smoothing- A General Tool for Early Vision
用户1148525
2022-10-06
4310
MKL sparse QR solver for least square
COO to CSR format #include <vector> #include <iostream> #include <mkl.h> #ifdef __linux__ #include <stdlib.h> //for aligned alloc! #include <cstring> //believe it or not for memcpy!! #endif #include "mkl_sparse_qr.h" // --------------------- template<clas
用户1148525
2022-05-06
6380
openGL入门3 --- rasterization pipeline
这里简单介绍一下 rasterization 光栅化流程 1)裁剪空间变换,归一化坐标系 transform the vertices of each triangle into normalized device coordinates 2)窗口变换 from normalized device coordinates to window coordinates 3)Scan Conversion 4)Fragment Processing 5)Fragment Writing
用户1148525
2022-05-06
2800
U-NET 图像预处理
首先将图像格式及大小、类型、名称 做出调整 这里将 bmp 转为 png 大小统一为 500*500, 按照数字序号命名
用户1148525
2021-12-07
4530
1D and 2D Gaussian Derivatives
http://campar.in.tum.de/Chair/HaukeHeibelGaussianDerivatives
用户1148525
2021-12-07
3690
一致性直线提取--Coherent Line Drawing
Coherent Line Drawing Proc. NPAR 2007 https://github.com/uva-graphics/coherent_line_drawing https://github.com/SSARCandy/Coherent-Line-Drawing https://ssarcandy.tw/2017/06/26/Coherent-Line-Drawing/
用户1148525
2021-03-22
5880
Kullback-Leibler Divergence
http://alpopkes.com/files/kl_divergence.pdf
用户1148525
2021-01-13
6830
Bias Variance Tradeoff – Clearly Explained
https://www.machinelearningplus.com/machine-learning/bias-variance-tradeoff/
用户1148525
2021-01-13
6160
What is Mahalanobis distance? 马氏距离
https://blogs.sas.com/content/iml/2012/02/15/what-is-mahalanobis-distance.html
用户1148525
2021-01-13
6380
梯度下降原理解析
在机器学习的核心内容就是把数据喂给一个人工设计的模型,然后让模型自动的“学习”,从而优化模型自身的各种参数,最终使得在某一组参数下该模型能够最佳的匹配该学习任务。那么这个“学习”的过程就是机器学习算法的关键。梯度下降法就是实现该“学习”过程的一种最常见的方式,尤其是在深度学习(神经网络)模型中,BP反向传播方法的核心就是对每层的权重参数不断使用梯度下降来进行优化。
用户1148525
2020-08-10
5040
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