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ai-p:0-contents [2007/05/27 21:54]
cyril 		ai-p:0-contents [2022/04/07 22:33]
cyril delete
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-===== Learning  +===== Learning =====
- +
-===== +
 ==== Supervised learning ==== ==== Supervised learning ====
- 
 === Classification === === Classification ===
- 
- 
  
   * __MLP (Multi Layers Perceptron)__ - //PMC (Perceptron multicouches)//   * __MLP (Multi Layers Perceptron)__ - //PMC (Perceptron multicouches)//
Line 61: Line 55:
     * RotBoost     * RotBoost
     * alphaBoost     * alphaBoost
 +    * MILBoost (Multiple Instance Learning BOOSting)
     * CGBoost (Conjugate Gradient BOOSTing)     * CGBoost (Conjugate Gradient BOOSTing)
     * Bootstrap Aggregating     * Bootstrap Aggregating
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 === Regression === === Regression ===
- 
- 
  
   * __MLP (Multi Layers Perceptron)__   * __MLP (Multi Layers Perceptron)__
   * __RBFNN (Radial Basis Functions Neural Network)__   * __RBFNN (Radial Basis Functions Neural Network)__
   * __SVR (Support Vectors Regressor)__   * __SVR (Support Vectors Regressor)__
- 
- 
  
 === Pattern recognition === === Pattern recognition ===
- 
- 
  
   * __Viola-Jones Detector__ [[pattern-recognition#viola-jones_detector|[+] ]]   * __Viola-Jones Detector__ [[pattern-recognition#viola-jones_detector|[+] ]]
     * with Extended Set of Haar features     * with Extended Set of Haar features
     * Stumps or CART trees     * Stumps or CART trees
- * Rotation Invariant+    * Rotation Invariant
     * **Multiview**     * **Multiview**
       * Parallel Cascades       * Parallel Cascades
       * Pyramid Cascade       * Pyramid Cascade
       * Tree Cascade       * Tree Cascade
-      * WFSTree Cascade 
- 
- * Pyramid Cascades 
- 
-      * Tree Cascades 
- 
       * Vector Boosting       * Vector Boosting
- 
- 
- 
- 
  
 ==== Unsupervised learning ==== ==== Unsupervised learning ====
- 
 === Vector quantization / Clustering === === Vector quantization / Clustering ===
- 
- 
  
   * Sequential leader   * Sequential leader
- 
   * k-means - //k-moyennes//   * k-means - //k-moyennes//
- 
   * GNG (Growing Neural Gas)   * GNG (Growing Neural Gas)
- 
   * Auto-organizing maps (Kohonen) - //cartes auto-organisatrices de Kohonen//   * Auto-organizing maps (Kohonen) - //cartes auto-organisatrices de Kohonen//
- 
- 
- 
  
  
 ==== Reinforcement learning ==== ==== Reinforcement learning ====
- 
- 
  
   * __MDP (Markov Decision Processes)__   * __MDP (Markov Decision Processes)__
- 
     * Q-learning     * Q-learning
- 
     * Value iteration     * Value iteration
- 
     * Policy iteration     * Policy iteration
- 
- 
  
 ===== Planification ===== ===== Planification =====
- 
- 
- 
 ==== Symbolic ==== ==== Symbolic ====
- 
 === State space search === === State space search ===
- 
- 
  
   * A*   * A*
- 
     * WA*     * WA*
- 
     * IDA*     * IDA*
- 
   * Dijkstra   * Dijkstra
- 
- 
  
 === Logics === === Logics ===
- 
- 
  
   * __GraphPlan__   * __GraphPlan__
- 
     * Stan     * Stan
- 
     * IPP     * IPP
- 
     * SGP     * SGP
- 
   * __SATplan (SATisfiability PLANning)__   * __SATplan (SATisfiability PLANning)__
- 
- 
  
 ==== Others ==== ==== Others ====
- 
- 
  
   * __Genetic algorithms__ - //algorithmes génétiques//   * __Genetic algorithms__ - //algorithmes génétiques//
- 
   * __Ant colonies__ - //colonies de fourmis//   * __Ant colonies__ - //colonies de fourmis//
- 
- 
  
 ==== Specific ==== ==== Specific ====
- 
 === Path planning === === Path planning ===
- 
- 
  
   * __Configurations space__   * __Configurations space__
- 
   * __Potential fields__   * __Potential fields__
- 
- 
  
 ===== Perception ===== ===== Perception =====
- 
 ==== Vision ==== ==== Vision ====
- 
- 
- 
 === Color Quantization === === Color Quantization ===
- 
- 
  
   * RGB cone   * RGB cone
- 
   * YUV polygon   * YUV polygon
- 
   * HSV rectangle   * HSV rectangle
- 
   * Lab   * Lab
- 
- 
  
 === Image segmentation === === Image segmentation ===
- 
- 
  
   * Floodfill - //inondation//   * Floodfill - //inondation//
- 
   * Watershed - //lignes de partage des eaux//   * Watershed - //lignes de partage des eaux//
- 
- 
  
 === Filters === === Filters ===
- 
- 
  
   * **Anti-noise (smoothing)**   * **Anti-noise (smoothing)**
- 
     * Median Filter - //filtre médian//     * Median Filter - //filtre médian//
- 
     * Vector Median Filter     * Vector Median Filter
- 
     * Kuwahara filter     * Kuwahara filter
- 
     * Peer Group Filtering     * Peer Group Filtering
- 
     * Anisotropic Filtering     * Anisotropic Filtering
- 
   * **Gradient** [[vision#gradient|[+] ]]   * **Gradient** [[vision#gradient|[+] ]]
- 
     * Prewitt [[vision#prewitt|[+] ]]     * Prewitt [[vision#prewitt|[+] ]]
- 
     * Roberts [[vision#roberts|[+] ]]     * Roberts [[vision#roberts|[+] ]]
- 
     * Sobel [[vision#sobel|[+] ]]     * Sobel [[vision#sobel|[+] ]]
- 
     * Laplace [[vision#laplace|[+] ]]     * Laplace [[vision#laplace|[+] ]]
- 
     * Scharr [[vision#scharr|[+] ]]     * Scharr [[vision#scharr|[+] ]]
- 
   * **Morphological**   * **Morphological**
- 
     * dilation - //dilatation//     * dilation - //dilatation//
- 
     * erosion - //érosion//     * erosion - //érosion//
- 
     * opening - //ouverture//     * opening - //ouverture//
- 
     * closing - //fermeture//     * closing - //fermeture//
- 
- 
  
 === Edge detection === === Edge detection ===
- 
- 
  
   * Canny detector   * Canny detector
- 
     * Canny-Deriche     * Canny-Deriche
- 
-  
  
 === Pattern recognition === === Pattern recognition ===
- 
- 
  
   * Mean-Square Regression - //Régression aux moindres carrés//   * Mean-Square Regression - //Régression aux moindres carrés//
- 
   * __Hough Transforms__ [[pattern-recognition#hough_transforms|[+] ]]   * __Hough Transforms__ [[pattern-recognition#hough_transforms|[+] ]]
- 
     * Standard Hough Transform     * Standard Hough Transform
- 
     * Randomized Hough Transform     * Randomized Hough Transform
- 
     * Connective Randomized Hough Transform     * Connective Randomized Hough Transform
- 
     * Combinatorial Hough Transform     * Combinatorial Hough Transform
- 
     * Adaptive Hough Transform     * Adaptive Hough Transform
- 
     * Probabilistic Hough Transform     * Probabilistic Hough Transform
- 
     * Adaptive Probabilistic Hough Transform     * Adaptive Probabilistic Hough Transform
- 
     * Progressive Probabilistic Hough Transform     * Progressive Probabilistic Hough Transform
- 
     * Hierarchical Hough Transform     * Hierarchical Hough Transform
- 
     * Sampling Hough Transform     * Sampling Hough Transform
- 
     * Generalized Hough Transform     * Generalized Hough Transform
- 
   * UpWrite method   * UpWrite method
- 
   * Curvogram   * Curvogram
 +  * **Shape Descriptors** 
 +    * Ankerst's Shape histograms 
 +  * Chamfer matching 
 +    * Contour Likelihood Measurement
  
  
 === Tracking === === Tracking ===
- 
- 
  
   * Kalman Filter   * Kalman Filter
- 
     * Generalized Kalman Filter     * Generalized Kalman Filter
- 
   * Correlation Tracking   * Correlation Tracking
- 
     * ACA (Area Correlation Algorithm)     * ACA (Area Correlation Algorithm)
- 
   * KLT Tracker (Kanade-Lucas-Tomasi)   * KLT Tracker (Kanade-Lucas-Tomasi)
- 
   * IPAN Tracker   * IPAN Tracker
- 
   * MeanShift   * MeanShift
- 
   * **Features detection**   * **Features detection**
- 
     * Harris detector     * Harris detector
- 
     * Susan detector     * Susan detector
- 
     * Multiresolution Contrast detector     * Multiresolution Contrast detector
- 
- 
  
 ==== Sensors fusion ==== ==== Sensors fusion ====
- 
- 
  
   * Kalman filter   * Kalman filter
- 
   * Particles filter (bayesian network) - //filtrage particulaire//   * Particles filter (bayesian network) - //filtrage particulaire//
- 
  
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