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Mean-Square error is an error metric for measuring image or video quality it is popular video and image quality metric because the analysis and mathematics is easier with this L2-Norm metric. Most video and image quality experts will agree that MSE is not a very good measure of perceptual video and image quality. Less
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The mathematical reasoning behind the MSE is as follows: For any real applications, noise in the readings or the labels is inevitable. We generally assume this noise follows Gaussian distribution and this holds perfectly well for most of the real applications. Considering 'e' follows gaussian distribution in y=f(x) + e and calculating the MLE, we get MSE which is also L2 distance. Note: Assuming some other noise distribution may lead to other MLE estimate which will not be MSE. Less
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MSE is used for understanding the weight of the errors in any model. This helps us understand model accuracy in a way that is helpful when choosing different types of models. Check out more answers on InterviewQuery.com Less
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On the same boat. I haven't heard back from Dallas neither. Did your status on USAjobs change with your tentative offer? Less
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I neither declined nor accepted the offer, as I have not heard back from USPTO. Hope to go back into the review and change that setting on the post. I understand the 10 week cycle and the expectation of getting back to candidates within two weeks, but I was specifically told otherwise for this round. And I would accept this job if I'm selected. Less
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Congrats on the interview. I had an interview on 12/7 too, for ChemEng in Alexandria. SPE I spoke with had said that I would hear back in two weeks; not sure if it's different depending on the job announcement/TC you applied to. Anyone else interview this week in Alexandria? Less
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Hi... Could you plz explain what is a custom rectangle detector...I hav my interview with Amazon on monday ... plz help Less
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First of all, hough transformation can be used. just parametrize the representation for rectangle, but the parameter space is 4D. Second, line detection, followed by checking corner degree. In practice, I would use opencv's coutour fitting function to fit for quadrilateral, then check the angle. This works quite well. Less
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I would scan the image with a basic edge detection mask. Then I would scan to count the number of lines, keeping track of end points in pairs. Cases such as curves would also be found in this step and returned as not a rectangle. An analysis of basic trig with the points could then be performed in order to determine if the points form a rectangle. Once a rectangle is confirmed then you could use those points to display on the image the recognized rectangle. Or do whatever the reason for finding the rectangle was. Less
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Use recursion
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No well defined. Is the problem to find the shortest path to the right side or bottom or shortest path to the a particular location or to connect the most locations or what? Less
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given rectangle set (overlapped or not), calculate the overlapped areas. e.g., rect{ point upperleft; width, height; } Less
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Team work will make our dream work is the most challenging thing I have learnt
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whats are
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What are the new things can add in smart way and logical way which i faced challenges Less
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No
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Really? Sorry but this is not a normal process for a US citizen.
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No
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Could answer most of it satisfactorily
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fliрkart.com
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flipkart