Progress for week 43 (2015)
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== [[user:Eirisu|Eirik Sundet]] == | == [[user:Eirisu|Eirik Sundet]] == | ||
=== Budget === | === Budget === | ||
- | * Continue on the work started on last week: | + | * ''Continue on the work started on last week:'' |
- | ** Implement update function for the Gaussian model | + | ** 1: Implement update function for the Gaussian model |
- | ** Implement Mixture-of-Gaussian classifier | + | ** 2: Implement Mixture-of-Gaussian classifier |
- | ** Update implementation for video compatibility. | + | ** 3: Update implementation for video compatibility. |
- | ** Test parameters for processing speed and accuracy | + | ** 4: Test parameters for processing speed and accuracy |
=== Accounting === | === Accounting === | ||
+ | * Done 1 | ||
+ | * 2 - In progress | ||
+ | * Done 3 | ||
+ | * 4 - In progress | ||
+ | |||
+ | == [[user:perwn|Per Wessel]] == | ||
+ | === Budget === | ||
+ | * Plan data gathering | ||
+ | * Test preprocessing techniques rapidminer | ||
+ | * Test statistical methods in rapidminer | ||
+ | * Try to manual label data to test ANN/SVM | ||
+ | |||
+ | === Accounting === | ||
+ | * Done 1 | ||
+ | * On going | ||
+ | * On going | ||
+ | * not done | ||
+ | * I got some new data considering exposures i different environment like humidity and temperature, worked on finding correlations, and merging data. | ||
+ | |||
+ | |||
+ | == Magnus Olden== | ||
+ | === Budget === | ||
+ | * Finish data validation | ||
+ | * First learning algorithm | ||
+ | * Try Bonesa | ||
+ | * Azure ML vs SciKitLearn vs RapidMiner | ||
+ | === Accounting === | ||
+ | * Finised data validation | ||
+ | * Made cool graphs!!! | ||
+ | * Learned about bonesa | ||
+ | |||
+ | == Tomas Renaa == | ||
+ | === Budget === | ||
+ | * Look at different EA implementations packages | ||
+ | * Read about QEA | ||
+ | * Set up SDK etc on robot | ||
+ | === Accounting === | ||
+ | * Done but not decided on implementations | ||
+ | * Partial on SDK etc | ||
+ | |||
+ | == [[user:fredrsae|Fredrik]] == | ||
+ | === Budget === | ||
+ | * Further explore simulator and limit choices | ||
+ | * Get hands on robot and explore capabilities to extend for sensors, and the capabilities of the servos | ||
+ | |||
+ | === Accounting === | ||
+ | * Ended up with even more alternatives | ||
+ | * Have some parts of the robot, started looking into the servos. | ||
+ | |||
+ | == [[user:vegardli|Vegard]] == | ||
+ | === Budget === | ||
+ | * Integrate the HDL simulation with GA application, prepare for testing in November |
Current revision as of 12:27, 27 October 2015
Contents |
Student template (copy this for your entry)
Budget
- Todo 1
- Todo 2
Accounting
- Done 1
- Done 2
Eirik Sundet
Budget
- Continue on the work started on last week:
- 1: Implement update function for the Gaussian model
- 2: Implement Mixture-of-Gaussian classifier
- 3: Update implementation for video compatibility.
- 4: Test parameters for processing speed and accuracy
Accounting
- Done 1
- 2 - In progress
- Done 3
- 4 - In progress
Per Wessel
Budget
- Plan data gathering
- Test preprocessing techniques rapidminer
- Test statistical methods in rapidminer
- Try to manual label data to test ANN/SVM
Accounting
- Done 1
- On going
- On going
- not done
- I got some new data considering exposures i different environment like humidity and temperature, worked on finding correlations, and merging data.
Magnus Olden
Budget
- Finish data validation
- First learning algorithm
- Try Bonesa
- Azure ML vs SciKitLearn vs RapidMiner
Accounting
- Finised data validation
- Made cool graphs!!!
- Learned about bonesa
Tomas Renaa
Budget
- Look at different EA implementations packages
- Read about QEA
- Set up SDK etc on robot
Accounting
- Done but not decided on implementations
- Partial on SDK etc
Fredrik
Budget
- Further explore simulator and limit choices
- Get hands on robot and explore capabilities to extend for sensors, and the capabilities of the servos
Accounting
- Ended up with even more alternatives
- Have some parts of the robot, started looking into the servos.
Vegard
Budget
- Integrate the HDL simulation with GA application, prepare for testing in November