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文章目录

  • Have a Question?
  • Math
  • Deep Learning
  • SLAM
  • Computer Science
  • Machine Learning
    • Linear Algebra
    • Calculus
    • Probability Statistics
    • CNN
    • Optimizer
    • 3D
    • Loss
    • Evaluation
    • Reinforcement Learning
    • Optimization
    • Geometry
    • 3D Reconstruction
    • Linux
    • Data Structure
    • Algorithm

Have a Question?

  • Math

  • Deep Learning

  • SLAM

  • Computer Science

  • Machine Learning

Linear Algebra

  • BCH 公式 (Baker Campbell Hausdorff formula)
  • 舒尔补 (Schur’s complement)
  • 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)

Calculus

  • 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)
  • 玻尔兹曼分布 (Boltzmann Distribution)
  • 无偏估计

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)

Linux

  • Articles coming soon

Data Structure

  • Articles coming soon

Algorithm

  • K-D 树 (K Dimensional Tree)
Articles coming soon
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