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        <title>ai:methods:0-index</title>
        <link>https://crteknologies.fr/wiki/ai:methods:0-index?rev=1649370134&amp;do=diff</link>
        <description>Catalog of methods in AI/vision/robotics

This is a classification of techniques and algorithms, in order to give a broad view of solutions available to deal with classical problems.

Other pages contain some more details about, which can be seen as memos with references to find more information (with the origin paper when possible).</description>
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        <dc:date>2022-04-28T23:27:25+00:00</dc:date>
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        <title>ai:methods:classification</title>
        <link>https://crteknologies.fr/wiki/ai:methods:classification?rev=1651188445&amp;do=diff</link>
        <description>﻿

Classification

MLP

Multi Layers Perceptron, PMC (Perceptron Multi-Couches)

Gradient Backpropagation

Rétropropagation du Gradient

Stochastic

with Inertia

Simulated Annealing

Recuit Simulé

Newton

Objective

Converges faster than gradient descent</description>
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        <dc:date>2013-09-19T16:40:49+00:00</dc:date>
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        <title>ai:methods:clustering</title>
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        <description>Vector quantization / Clustering

References

	*  Methods Overview [EN] 

Sequential leader

For every new sample :

	*  if the distance between the sample and a cluster is smaller than a given threshold, then add the sample to the cluster, else create a new cluster with the sample</description>
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        <title>ai:methods:pattern-recognition</title>
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        <description>Pattern recognition - Basic

Mean-Square Regression

Objective

Very fast if you already have a list of pixels you know belong to one contour, and you want to check if it fits to a parametric shape.

Quick Def

References

Full Definition

Hough Transforms</description>
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        <title>ai:methods:planification</title>
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        <description>Planification

Symbolic

State space search

A*

WA*

IDA*

Iterative Depth A*

Dijkstra

Logics

=Quick Def=
Based on STRIPS-like languages (ADL, PDDL).

GraphPlan

Stan

IPP

SGP

SATplan

SATisfiability PLANning

Others

Genetic algorithms

Ant colony</description>
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        <title>ai:methods:reinforcement-learning</title>
        <link>https://crteknologies.fr/wiki/ai:methods:reinforcement-learning?rev=1379608850&amp;do=diff</link>
        <description>Reinforcement learning

=References=

	*  Introductory Book [EN] 

MDP

Markov Decision Processes, Processus de Décision de Markov

Q-learning

Value iteration

Policy iteration</description>
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        <title>ai:methods:sensors-fusion</title>
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        <description>Sensors fusion

Kalman filter

Particles filter

(bayesian network)</description>
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        <dc:date>2014-02-25T15:14:00+00:00</dc:date>
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        <title>ai:methods:tracking</title>
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        <description>Tracking

	*  Correlation Tracking
		*  ACA (Area Correlation Algorithm)

	*  KLT Tracker (Kanade-Lucas-Tomasi)
	*  IPAN Tracker
	*  MeanShift
	*  Features detection
		*  Harris detector
		*  Susan detector
		*  Multiresolution Contrast detector
		*</description>
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        <title>ai:methods:vision</title>
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        <description>Vision

Color Quantization

References

	*  Fast Impl. RGB/YUV/HSV [EN] 

RGB cone

YUV polygon

HSV rectangle

Lab

Image segmentation

Floodfill

References

	*  Fast Impl. [EN] 

Watershed

References

	*  Method [EN]  
	*  Robust Impl. [EN] 

Filters

References

	*  Image Processing Fundamentals [EN] 

Anti-noise

(smoothing)

References

	*  Definitions [EN] 
	*  Definitions [EN] 

Median Filter</description>
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