Progress for week 45 (2014)

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* Compare Baldwinian and Lamarckian learning
* Compare Baldwinian and Lamarckian learning
* Compare different local searches
* Compare different local searches
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=== Accounting ===
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== André ==
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=== Budget ===
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* Try to find more information of where to by the omnidirectional camera
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* Try to implement a Feature detection algorithm with openCV
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* Borrow a Kinect an set the kinect up ready for testing
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** Use the kinect first as distance measure
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** Look into more usages of the kinect
=== Accounting ===
=== Accounting ===

Versjonen fra 5. nov 2014 kl. 10:27

Innhold

Student template (copy this for your entry)

Budget

  • Todo 1
  • Todo 2

Accounting

  • Done 1
  • Done 2

Snorre

Budget

  • Start to implement the NSGA-II algorithm

Accounting

Rune

Budget

  • Finish PRM
  • Begin looking at learning

Accounting

Stian

Budget

  • Move the previous OpenCV stereo implementation into the framework.
    • Extend it for some parameter experimentation.
  • Gather a new training set (current one can't be run on algorithms requiring image width divisible by 16)

Accounting

Else-Line

Budget

  • Look into good statistical methods for data comparison
  • Continue testing parameters
  • Compare Baldwinian and Lamarckian learning
  • Compare different local searches

Accounting

André

Budget

  • Try to find more information of where to by the omnidirectional camera
  • Try to implement a Feature detection algorithm with openCV
  • Borrow a Kinect an set the kinect up ready for testing
    • Use the kinect first as distance measure
    • Look into more usages of the kinect

Accounting

Personlige verktøy