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It is possible to compress images using singular value decomposition
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You are currently reading a thread in /sci/ - Science & Math
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Anonymous
2016-01-24 19:32:12 Post No. 7807551
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Anonymous 2016-01-24 19:32:12 Post No. 7807551 [Report]
It is possible to compress images using singular value decomposition and leaving out the smaller values. You will get "squares" as artifacts.

Is something similar possible for a dataset of voxels?
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Anonymous 2016-01-24 19:53:57 Post No.7807599
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Anonymous 2016-01-24 19:53:57 Post No.7807599 [Report]
Yes, you will get "cubes" as artifacts.
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Anonymous 2016-01-24 19:59:17 Post No.7807617
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Anonymous 2016-01-24 19:59:17 Post No.7807617 [Report]
>>7807599
Ok. But how are they defined? How are they called? How can they be calculated?
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Anonymous 2016-01-24 21:18:35 Post No.7807802
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Anonymous 2016-01-24 21:18:35 Post No.7807802 [Report]
Ok. Found the Tucker Decomposition.
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Anonymous 2016-01-24 21:33:46 Post No.7807849
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Anonymous 2016-01-24 21:33:46 Post No.7807849 [Report]
What are you trying to use this for? I'm pretty interested in 3D computer vision as well
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