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Some of my courses fragmentary cheat sheets in LaTex.

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# cheatsheets
This repository contains some of my courses fragmentary cheat sheets in LaTex.

* **3D Vision**: 
    * **Keywords**: 3D computer vision, Multiple View Geometry, Epipolar Geometry, 3D Reconstruction, Image Formation, Camera Model
    * **References**:
      * [1] Y. Ma, S. Soatto, J. Kosetska, and S. Sastry, An invitation to 3D computer vision. Springer-Verlag, New York, 2004. (MaSKS)
	  * [2] Hartley, R. I. & Zisserman, A. second (Ed.) Multiple view geometry in computer vision. Cambridge University Press, 2004
      * [2] Prof. Shohreh Kasaei, Advance vision course notes, spring 2014.

* **advance vision**: 
    * **Keywords**: 2D tracking, Numerical Optimization, Segmentation of Dynamical Scenes, Keypoint Description, Keypoint Matching
    * **References**:
      * [1] Selected Topics in Computer Vision at EPFL COM-711
      * [2] Prof. Shohreh Kasaei, Advance vision course notes, spring 2014.

* **artificial intelligence (AI)**: 
    * **Keywords**: Intelligent Agents, Search, Constraint satisfaction problems (CSP), Backtracking, Adversarial Search, Logical Agents, First-Order Logic
    * **References**:
      * [1] Artificial Intelligence A Modern Approach, Stuart Russell and Peter Norving

* **Algorithm**: 
    * **Keywords**: Complexity Analysis, Divide-and-Conquer, Dynamic Programming, Greedy algorithms, Backtracking
    * **References**:
      * [1] Foundations of Algorithms, Richard E. Neapolitan and Kumarss Naimipour

* **Digital Image Processing (DIP)**: 
    * **Keywords**: Spatial Filtering, Frequency Filtering, Image Restoration and Reconstruction, Color Processing, Image compression, Morphological Image Processing, Image Segmentation, 
    * **References**:
      * [1] Digital Image Processing, Gonzalez and Woods

* **Digital Signal Processing (DSP)**: 
    * **Keywords**: Discrete-Time Signals and Systems
    * **References**:
      * [1] Discrete Time Signal Processing 2nd Ed, Alan V. Oppenheim, Ronald W. Schafer
	  
  * **Statiestical pattern recognition**: 
    * **Keywords**: Bayesian decision theory, Maximum Likelihood Estimation, Nonparametric Methods, Linear Discriminant Functions, 
    * **References**:
      * [1] Pattern Classification, Richard O. Duda, David G. Stork, Peter E. Hart
	 
  * **Statiestics**: 
    * **Keywords**: 
    * **References**:
      * [1]

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