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Nash Equilibrium In Game Theory ~xRay Pixy

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 Video Link  CLICK HERE... Learn Nash Equilibrium In Game Theory Step-By-Step Using Examples. Video Chapters: Nash Equilibrium  00:00 Introduction 00:19 Topics Covered 00:33 Nash Equilibrium  01:55 Example 1  02:30 Example 2 04:46 Game Core Elements 06:41 Types of Game Strategies 06:55  Prisoner’s Dilemma  07:17  Prisoner’s Dilemma Example 3 09:16 Dominated Strategy  10:56 Applications 11:34 Conclusion The Nash Equilibrium is a concept in game theory that describes a situation where no player can benefit by changing their strategy while the other players keep their strategies unchanged.  No player can increase their payoff by changing their choice alone while others keep theirs the same. Example : If Chrysler, Ford, and GM each choose their production levels so that no company can make more money by changing their choice, it’s a Nash Equilibrium Prisoner’s Dilemma : Two criminals are arrested and interrogated separately. Each has two ...

What is the difference between local descriptors and global descriptors?

Descriptors  rely on Gradient-based or intensity variation approaches to detect Local Features (e.g., Edges, Blobs, and Regions). BLOB = Binary Large Object (i.e., the region of the image). Descriptors such as HOG, SIFT, SURF (rely on local gradient computation). Binary Descriptors such as BRISK, ORB or FREAK (rely on local intensity differences) Global Descriptor –  Describe the whole image, Local Descriptor  – Describe the patch within the image. (The best example of the global descriptor is SIFT). LDP = Local Directional Pattern. Local Directional Pattern is a  descriptor  i.e., used for Face Recognition. How to Calculate Local Directional Pattern (LDP) Code?|Kirsch Compass Mask| https://youtu.be/dY0KarfWTV4
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