Difference between revisions of "Stefan Karlsson/PersonalPage/Education/MultiScaleCourse"

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This is the web page for the course Matlab with Applications (Matlab med tillämpningar). Find the course description [http://www.hh.se/sitevision/proxy/utbildning/sokkursplan.4677.html/svid12_70cf2e49129168da015800074301/752680950/se_proxy/utb_kursplan.asp?kurskod=MA4024&revisionsnr=1&format=pdf here], and the schedule for the course [https://se.timeedit.net/web/hh/db1/schema/ri167816X20Z03Q5Z06g6Y90y0086Y08Q09gQY5Q55767.html here].
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This is the web page for the course '''Multiscale and Multidimensional Analysis'''.The course description will be available on the officil university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.
 
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This course is given at one quarter speed, as lectures/practical excercises in the afternoons. The exercises will be available on this page that will update regularly.
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Reach me at Stefan.Karlsson@hh.se for any questions.
 
Reach me at Stefan.Karlsson@hh.se for any questions.
  
 
===News===
 
===News===
'''20 February'''
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No news yet
 
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from exercise 5 onwards, I am forced to revert to the old material from previous years. There simply isnt resources and time enough to make new material for the entire course.
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In these old formats of exercises, there is some conflicting information on deadlines. The information on the webpage and in readme.txt file is the valid one.
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'''20 February'''
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CLARIFICATION: You will have the oppurtunity to hand in twice for each exercise. Only twice, so LOOK CAREFULLY AT THE PDF. THERE ARE INSTRUCTIONS ON HOW TO HAND IN!
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'''20 February'''
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Extension of deadline for task 2 with one day. New deadline 21st of February, 12 am
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'''17 February'''
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Exercise 3 is updated!
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It had a missing section in it, which is now fixed. There were some typos I fixed while at it, and I put some new hints in the document as well. Task no 3 is now optional, if you aim for a grade 4 on this exercise.
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'''28 January'''
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Exercise 2 has a Matlab version issue. Check out the description below
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===Course organization===
 
===Course organization===
There will be one new exercise made available to you for every session. For each exercise there are several tasks for you to perform (2-4). These are to be handed in to me, instructions on how to hand them in are available in the provided pdf, and '''WILL NOT''' be done through blackboard. No communication is to be done through blackboard in this course.
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There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication '''WILL NOT''' be done through blackboard.  
 
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There will be a total of 10-11 exercises in this course. Your will be graded for each exercise.
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You may work in groups of 2, not more.
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There is a deadline of 2 weeks for the tasks of each exercise. Exercises are graded as "Passed"(3), "Passed with distinction"(4) or "not passed" (0). If a deadline is missed for an exercise, you will have to resubmit late, which limits the max grade to (3), and will affect your overal course grade.
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In the second part of the course (period 2) you will start on a small project. This project can have any grade in the range (1 to 6). There will be more details on the exact content of this project.
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The final grade of the course is set with an algorithm you can download [[Media:WhatsMyGradeMA4024_2014.zip‎|here]].
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===Compulsory elements/attendance===
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Handing in tasks and project on time are the only compulsory elements of the course. Physical presence on any lecture/exercise is '''not compulsory'''
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=Exercises=
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== Introduction meeting ==
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Start reading the [[Media:E1MA4024.pdf|the first exercise]] in preparation. Get all files need for Exercise 1 [[Media:E1MA4024.zip| here]].
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During the first introduction meeting, I will briefly explain the outline of the course, and how you will be graded and what is expected of you. This should take no more than 30 minutes, after that we will get started with exercise 1 during the remainder of the introduction meeting.
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== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e1 Excercise 1, Vectors and Functions ]==
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Deadline to submit your tasks: 12am(24.00 hrs) on 13th of february.
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== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e2 Excercise 2, Matrices, program flow and sound of music]==
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Deadline to submit your tasks: 12am(24.00 hrs)  NEW DEADLINE: 21th of february.
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== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e3 Excercise 3, Matrices and Handles]==
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Deadline to submit your tasks: 12am(24.00 hrs) on 27th of february.
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== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e4 Excercise 4, Fuzzy logic and Callbacks]==
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Deadline to submit your tasks: 12am(24.00 hrs) on 6th of March.
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== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e5 Excercise 5, Linear Systems]==
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Deadline to submit your tasks: 12am(24.00 hrs) on 13th of March.
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== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e6 Excercise 6, interpolation, curve fitting, integrals and differential equations]==
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Deadline to submit your tasks: 12am(24.00 hrs) on 20th of March.
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== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e7 Excercise 7, Vectorization, timing and Debugging]==
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=Exercises and sessions(files will be made available shortly)=
Deadline to submit your tasks: 12am(24.00 hrs) on 10th of April.
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1. Linear scale space (Stefan) -1 WEEK – Starting 3 November
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- Waveletets (Gabor, Haar)
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- Pyramids (Gaussian, Laplacian, etc.)  
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- Median filtering
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- ONE PRACTICAL ASSIGNMENT ON THIS
  
== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e8 Excercise 8, Graphical User Interface (GUI)]==
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2. Directionality analysis (Fernando) -1 WEEK – Starting 10 November
Deadline to submit your tasks: 12am(24.00 hrs) on 28th of April.
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- Structure tensor, HOGs, Gabor
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- Edges, corners
  
== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e9 Excercise 9, Symbolic vs. Numerical Programming]==
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3. Non-linear scale-space (Stefan) -1.5 WEEK – Starting 17 November
Deadline to submit your tasks: 12am(24.00 hrs) on 26th of May.
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- Variational formulations
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- Non-linear filtering
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- De-noising
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- ONE PRACTICAL ASSIGNMENT ON THIS
  
== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/e10 Excercise 10, Simulink]==
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4. Feature analysis (Fernando) -1.5 WEEK – Starting 1 December
Deadline to submit your tasks: 12am(24.00 hrs) on 3rd of June.
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- Segmentation, clustering
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- Feature extraction, pattern matching and classification
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- ONE PRACTICAL ASSIGNMENT ON THIS
  
== [http://islab.hh.se/mediawiki/index.php/Stefan_Karlsson/PersonalPage/Education/Matlab_With_Applications/Project, Project]==
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5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK – 15 December
Deadline to submit your tasks: End of course, 27th of June.
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- SIFT
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- Viola-Jones
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- Perona-Malik
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- FINAL PROJECT ASSIGNMENT

Revision as of 12:41, 11 November 2014

This is the web page for the course Multiscale and Multidimensional Analysis.The course description will be available on the officil university site soon. The schedule for the course will be made ad hoc, using doodle or by agreement over email.

Reach me at Stefan.Karlsson@hh.se for any questions.

News

No news yet

Course organization

There will be roughly one new exercise made available to you for every session, and there will be a total of 4 Excercises including a small project. For each exercise there are several tasks for you to perform. These are to be completed and discussed during the sessions. Instructions on how to report on them will be given in the descriptions for the excercieses. Communication WILL NOT be done through blackboard.

Exercises and sessions(files will be made available shortly)

1. Linear scale space (Stefan) -1 WEEK – Starting 3 November - Waveletets (Gabor, Haar) - Pyramids (Gaussian, Laplacian, etc.) - Median filtering - ONE PRACTICAL ASSIGNMENT ON THIS

2. Directionality analysis (Fernando) -1 WEEK – Starting 10 November - Structure tensor, HOGs, Gabor - Edges, corners

3. Non-linear scale-space (Stefan) -1.5 WEEK – Starting 17 November - Variational formulations - Non-linear filtering - De-noising - ONE PRACTICAL ASSIGNMENT ON THIS

4. Feature analysis (Fernando) -1.5 WEEK – Starting 1 December - Segmentation, clustering - Feature extraction, pattern matching and classification - ONE PRACTICAL ASSIGNMENT ON THIS

5. Applications for computer vision/object detection (Fernando, Stefan) - 1 WEEK – 15 December - SIFT - Viola-Jones - Perona-Malik - FINAL PROJECT ASSIGNMENT