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机器学习、深度学习

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Batch Normalization

normalization 函数模型数据网络

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

2023-10-17

1810

Fundamental concepts about Optics

frequency space spatial time vector

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

2023-10-17

1480

Fundamental concepts about Lithography

dimensions field image lines mask

https://dunham.ece.uw.edu/ee528/notes/Chapter5.pdf Text: Silicon VLSI technology fundamentals, practice, and modeling

2023-10-17

1630

basics of level set

Level Set Method in Medical Imaging Segmentation p136

2022-11-06

2860

Image Segmentation Based on Active Contours without Edges

Nonlinear Anisotropic Diffusion Active Contours without Edges

2022-11-06

2420

Segmentation under geometrical conditions using geodesic active contours and interpolation

equation interpolation methods set using

Segmentation under geometrical conditions using geodesic active contours and interpolation using level set methods

2022-11-06

2210

Geodesic Active Contours

compare curve equation having smoothing

2.1 Energy Based Active Contours The classical snakes approach (Kass et al., 1988) associates the curve C with an energy given by

2022-11-06

5910

Lithography tutor

So how does this optical path difference affect the formation of an image? For light, the path lengt

2022-11-06

2890

fundamental of Level set method

dynamic implicit methods set

Ref: Level Set Methods and Dynamic Implicit Surfaces

2022-10-28

4660

Anisotropic Diffusion in Image Processing 2

processing image

Parameter Adaptation for Nonlinear Diffusion in Image Processing

2022-10-06

3330

Anisotropic Diffusion in Image Processing (1)

equation iteration smoothing

Adaptive Smoothing- A General Tool for Early Vision

2022-10-06

4810

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

2022-05-06

6710

openGL入门3 --- rasterization pipeline

css processing android python

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

2022-05-06

3470

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

2021-12-07

5350

1D and 2D Gaussian Derivatives

function gaussian

http://campar.in.tum.de/Chair/HaukeHeibelGaussianDerivatives

2021-12-07

4160

一致性直线提取--Coherent Line Drawing

https linux 网络安全 kernel

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/

2021-03-22

6610

Kullback-Leibler Divergence

机器学习神经网络深度学习人工智能

http://alpopkes.com/files/kl_divergence.pdf

2021-01-13

7840

Bias Variance Tradeoff – Clearly Explained

机器学习神经网络深度学习人工智能 linux

https://www.machinelearningplus.com/machine-learning/bias-variance-tradeoff/

2021-01-13

6520

What is Mahalanobis distance? 马氏距离

数据结构 css python

https://blogs.sas.com/content/iml/2012/02/15/what-is-mahalanobis-distance.html

2021-01-13

7020

梯度下降原理解析

机器学习神经网络深度学习人工智能

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。

2020-08-10

5510

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