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Yet once the subjective test is done, the question is answered for that class of distortions.
To demonstrate the superior performance of the proposed schemes, receiver operating characteristics analysis over a large image database and a large class of distortions is performed and compared with the state-of-the-art image hashing using NMF.
Since FJLT hashing is demonstrated to be robust against a large class of distortions except for rotation attacks and RI-FJLT hashing achieves superior performance under rotation attacks at the cost of sensitivity to other manipulations, it accounts for the fact that it is very difficult to design a globally optimal hashing approach that could handle all of the distortions and manipulations.
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It is shown that for a very large class of distortion measures the objective function of optimal multi-resolution quantization satisfies the convex Monge property.
There is a whole class of distortion-based visualization methods that strive to show detail within as much surrounding context as possible in a given amount of screen area, which we discuss in section 2.1.
Practical embedding algorithms that operate near the theoretical payload-distortion bound are available for a rather general class of distortion functions[3, 4].
87– 89 Two common classes of distortion that have been widely studied in the laboratory are the illusion of control and the gambler's fallacy.
Based on our experimental results, it is noted that the FJLT-based hashing is robust to a large class of routine distortions and malicious manipulations.
There is another class of body distortion illusions that operate by inducing a contradiction between (self-touch) tactile and proprioceptive sensations.
We show that in a large class of environments these distortions vanish if the principal is allowed to offer sufficiently rich contracts.
The accuracy in prediction of these two classes of temporal distortion matched the earlier PCA/MDS analysis which showed high correlation between SB/SF/SI and the slightly differentiated SD.
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