Is 5D Mean Shift the same as 5D k-means clustering ? It seems not but it is in the MCQ of 2020.
Also, I can't find any info on narrow and wide baslines for stereo in our course (from the same MCQ).
Are we suppose to know these 2 algorithms ?
What question are you referring to?
You only need to know what is covered in the course.
Questions 4 and 6. Also I'm wondering why in question 11, the answer "The initial layers tend to detect global features (like objects or parts of objects) whereas the higher
layers detect local features (like edges)." is not true ?
layers detect local features (like edges)." is not true ?
About Mean-Shift vs KMeans, read question 4 carefully and the algorithms. Question 4 does not imply anything, I don't really know what else to say.
About Q11, it is not true because it is typically the opposite. It is discussed in the deep learning lecture.
About Q11, it is not true because it is typically the opposite. It is discussed in the deep learning lecture.
I was just wondering if we are supposed to know 5D Mean shift since I can't find anytging on this in the slides. Also, I can't find any info on narrow and wide baslines for stereo in our course (from Q6 in the 2020 MCQ).
Hi Alexi,
I found some relevant informations on baselines on the slide 57 of the Shape from Stereo course. It basically contains the info to answer the question on the exam.
Hope it helped :)
Ahmed
I found some relevant informations on baselines on the slide 57 of the Shape from Stereo course. It basically contains the info to answer the question on the exam.
Hope it helped :)
Ahmed
Thanks !
Did you finally find something about 5D mean shift ?
Nothing
