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🎶 生命因你而火热 💯
Coding
FrontEnd
Course Notes
HTML
CSS
JavaScript
Reading
Visualization
Machine Learning
Graph Visualization
Large Graph
Data Mining
Graph Mining
Graph Embedding
Fisheye
Color
Deep Learning
Computer Vision
Algorithm
Math
Graph
Dynamic Graph
Matrix
Travel
React
Authoring
WebGL
论文评述
报告
Windows
software
Scatterplot
Coding
杂谈:快慢指针
杂谈:Python入门学习笔记基础
杂谈:《编写可读代码的艺术》阅读笔记(三)
杂谈:《编写可读代码的艺术》阅读笔记(二)
杂谈:《编写可读代码的艺术》阅读笔记(一)
杂谈:react-native的枪林弹雨
杂谈:React-Native在win10平台上的部署
FrontEnd
redux浅析
十分钟了解MobX
记一个Promise问题
如何选择JavaScript构建工具之Babel、Browserify、Webpack、Grunt以及Gulp
JavaScript闭包
JavaScript中的this关键字
JavaScript执行环境和作用域
JavaScript函数表达式和函数声明
JavaScript中四种不同的属性检测方式比较
JavaScript类型转换和相等性
CSS@12布局篇
CSS@11弹性布局flex
CSS@10布局(下):float
CSS@布局(中):position
CSS@8布局(上):display&z-index
读《一道JS面试题引发的思考》
CSS@7背景
CSS@6盒模型
CSS@5文本
浅析JS模块化规范:CommonJS,AMD,CMD
CSS@4单位
CSS@3继承优先级
CSS@2选择器
CSS@1介绍和准备
HTML@7补充篇
HTML@6表单标签
HTML@5表格标签
HTML@4嵌入资源标签
HTML@3组合内容标签
HTML@2章节标签&文本标签
HTML@1文档结构&标签属性
Course Notes
CS229:16-模型选择和特征选择
CS229:15-Vapnik–Chervonenkis dimension
CS229:14-经验风险最小化
CS229:13-SVM(四)非线性决策边界
CS229:12-SVM(三)核函数
CS229:11-SVM(二)最优间隔分类器
CS229:10-SVM(一)概念
CS229:09-生成学习算法的例子
CS229:08-生成学习算法的概念
CS229:07-广义线性模型
CS229:06-牛顿法
CS229:05-二分类问题
CS229:04-线性模型的概率解释
CS229:03-过拟合&局部加权回归
CS229:02-线性回归
CS229:01-监督学习&梯度下降法
杂谈:六级翻译重要词汇短语
杂谈:机器学习三要素
杂谈:浙江大学-数据挖掘课程-复习笔记
杂谈:Python入门学习笔记基础
CSS@12布局篇
CSS@11弹性布局flex
CSS@10布局(下):float
CSS@布局(中):position
CSS@8布局(上):display&z-index
CSS@7背景
CSS@6盒模型
CSS@5文本
CSS@4单位
CSS@3继承优先级
CSS@2选择器
CSS@1介绍和准备
HTML@7补充篇
HTML@6表单标签
HTML@5表格标签
HTML@4嵌入资源标签
HTML@3组合内容标签
HTML@2章节标签&文本标签
HTML@1文档结构&标签属性
HTML
HTML@7补充篇
HTML@6表单标签
HTML@5表格标签
HTML@4嵌入资源标签
HTML@3组合内容标签
HTML@2章节标签&文本标签
HTML@1文档结构&标签属性
CSS
CSS@12布局篇
CSS@11弹性布局flex
CSS@10布局(下):float
CSS@布局(中):position
CSS@8布局(上):display&z-index
CSS@7背景
CSS@6盒模型
CSS@5文本
CSS@4单位
CSS@3继承优先级
CSS@2选择器
CSS@1介绍和准备
JavaScript
记一个Promise问题
如何选择JavaScript构建工具之Babel、Browserify、Webpack、Grunt以及Gulp
JavaScript闭包
JavaScript中的this关键字
JavaScript执行环境和作用域
JavaScript函数表达式和函数声明
JavaScript中四种不同的属性检测方式比较
JavaScript类型转换和相等性
读《一道JS面试题引发的思考》
浅析JS模块化规范:CommonJS,AMD,CMD
Reading
杂谈:《软技能》学习篇阅读笔记
杂谈:《软技能》生产力篇阅读笔记
杂谈:《编写可读代码的艺术》阅读笔记(三)
杂谈:《编写可读代码的艺术》阅读笔记(二)
杂谈:《编写可读代码的艺术》阅读笔记(一)
Visualization
Simultaneous Matrix Orderings for Graph Collections
P4 P5 以及 P6
Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data
ATOM: A Grammar for Unit Visualizations
动态图overview论文阅读总结
The State of the Art in Visualizing Dynamic Graphs
Structure-aware Fisheye Views for Efficient Large Graph Exploration
Refinery, Visual Exploration of Large, Heterogeneous Networks through Associative Browsing
HiPiler Visual Exploration of Large Genome Interaction Matrices with Interactive Small Multiples
Wavelet-based Visual Analysis of Dynamic Networks
JellyLens, Content-Aware Adaptive Lenses
SchemeLens, A Content-Aware Vector-Based Fisheye Technique for Navigating Large Systems Diagrams
Affective Color in Visualization
iSphere-交互式探索大规模图的焦点+上下文球体可视化技术
A Survey on Graph Visualization
A Machine Learning Approach to Large Graph Visualization
Machine Learning
CS229:16-模型选择和特征选择
CS229:15-Vapnik–Chervonenkis dimension
CS229:14-经验风险最小化
CS229:13-SVM(四)非线性决策边界
CS229:12-SVM(三)核函数
CS229:11-SVM(二)最优间隔分类器
CS229:10-SVM(一)概念
CS229:09-生成学习算法的例子
CS229:08-生成学习算法的概念
CS229:07-广义线性模型
CS229:06-牛顿法
CS229:05-二分类问题
CS229:04-线性模型的概率解释
CS229:03-过拟合&局部加权回归
CS229:02-线性回归
CS229:01-监督学习&梯度下降法
STRUC2VEC(图结构→向量)论文方法解读
杂谈:机器学习三要素
A Machine Learning Approach to Large Graph Visualization
Graph Visualization
ATOM: A Grammar for Unit Visualizations
动态图overview论文阅读总结
The State of the Art in Visualizing Dynamic Graphs
Structure-aware Fisheye Views for Efficient Large Graph Exploration
Refinery, Visual Exploration of Large, Heterogeneous Networks through Associative Browsing
Wavelet-based Visual Analysis of Dynamic Networks
JellyLens, Content-Aware Adaptive Lenses
SchemeLens, A Content-Aware Vector-Based Fisheye Technique for Navigating Large Systems Diagrams
iSphere-交互式探索大规模图的焦点+上下文球体可视化技术
A Survey on Graph Visualization
A Machine Learning Approach to Large Graph Visualization
Large Graph
Structure-aware Fisheye Views for Efficient Large Graph Exploration
Refinery, Visual Exploration of Large, Heterogeneous Networks through Associative Browsing
SchemeLens, A Content-Aware Vector-Based Fisheye Technique for Navigating Large Systems Diagrams
A Machine Learning Approach to Large Graph Visualization
Data Mining
杂谈:浙江大学-数据挖掘课程-复习笔记
Graph Mining
杂谈:图的相关基础知识
dyngraph2vec, Capturing Network Dynamics using Dynamic Graph Representation Learning
杂谈:图的小波变换
杂谈:拉普拉斯矩阵和代数连通度
STRUC2VEC(图结构→向量)论文方法解读
Graph Embedding
dyngraph2vec, Capturing Network Dynamics using Dynamic Graph Representation Learning
Wavelet-based Visual Analysis of Dynamic Networks
STRUC2VEC(图结构→向量)论文方法解读
Fisheye
Structure-aware Fisheye Views for Efficient Large Graph Exploration
JellyLens, Content-Aware Adaptive Lenses
SchemeLens, A Content-Aware Vector-Based Fisheye Technique for Navigating Large Systems Diagrams
iSphere-交互式探索大规模图的焦点+上下文球体可视化技术
Color
Affective Color in Visualization
Deep Learning
ICCV2017:第一人称视角手势估计
Computer Vision
ICCV2017:第一人称视角手势估计
Algorithm
杂谈:快慢指针
Math
杂谈:图的相关基础知识
杂谈:图的小波变换
杂谈:拉普拉斯矩阵和代数连通度
杂谈:【转】傅里叶分析之掐死教程(完整版)
Graph
Simultaneous Matrix Orderings for Graph Collections
杂谈:图的相关基础知识
杂谈:图的小波变换
杂谈:拉普拉斯矩阵和代数连通度
Dynamic Graph
动态图overview论文阅读总结
dyngraph2vec, Capturing Network Dynamics using Dynamic Graph Representation Learning
The State of the Art in Visualizing Dynamic Graphs
Wavelet-based Visual Analysis of Dynamic Networks
Matrix
Simultaneous Matrix Orderings for Graph Collections
HiPiler Visual Exploration of Large Genome Interaction Matrices with Interactive Small Multiples
Travel
2021年国庆西北大环线游记
杂谈:国庆川西自驾游计划
React
redux浅析
十分钟了解MobX
Authoring
P4 P5 以及 P6
Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data
ATOM: A Grammar for Unit Visualizations
WebGL
P4 P5 以及 P6
论文评述
Lumos Increasing Awareness of Analytic Behavior during Visual Data Analysis
报告
Lumos Increasing Awareness of Analytic Behavior during Visual Data Analysis
Windows
Windows装机指南
software
Windows装机指南
Scatterplot
Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data