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Math
Machine Learning
3D Vision
Computer Science
Linear Algebra
Calculus
Probability Statistics
CNN
Optimizer
3D
Loss
Evaluation
Reinforcement Learning
Optimization
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Math
Machine Learning
3D Vision
Computer Science
Linear Algebra
BCH 公式 (Baker Campbell Hausdorff formula)
舒尔补 (Schur’s complement)
施密特正交化 (Schmidt Orthogonalization)
伴随 (Adjoints)
反对称矩阵 (Skew-symmetric Matrix)
正定矩阵 (Positive-definite Matrix)
厄米特矩阵 (Hermitian Matrix)
特征分解 (Eigen decomposition)
特征值与特征向量 (Eigenvalue and Eigenvector)
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Calculus
梯度、散度、旋度 (Gradient, Divergence, Curl)
拉普拉斯算子 (Laplace operator, Laplacian)
拉格朗日乘数法
Probability Statistics
概率测度 (Probability Measure)
熵 (Entropy)
近似误差 (Approximation Error)
玻尔兹曼分布 (Boltzmann Distribution)
无偏估计 (Unbiased Estimate)
CNN
可变形卷积 (Deformable Convolutional Networks, DCN)
分组卷积 (Group Convolution)
Optimizer
Articles coming soon
3D
Articles coming soon
Loss
SSIM (Structural Similarity)
Triplet Loss
Evaluation
MMA (Mean Matching Accuracy)
Reinforcement Learning
策略梯度 (Policy Gradient)
Optimization
共轭梯度算法 (Conjugate Gradient Method)
高斯牛顿法 (Gauss-Newton Method)
Geometry
逆透视变换 (IPM, Inverse Perspective Mapping)
单应变换 (Homography)
四元数 (Quaternion)
三角化 (Triangulation)
对极约束 (Epipolar Constraint)
3D Reconstruction
TSDF (Truncated Signed Distance Function)
平面扫描 (Plane Sweeping)
Voxel Hashing
八叉树 (Octree)
Linux
Articles coming soon
Data Structure
Articles coming soon
Algorithm
K-D 树 (K Dimensional Tree)