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Detecting anti-forensic deepfakes with identity-aware multi-branch networks. [PDF]
Front Big DataZhu M, Long J.
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Deep steganographic approach for reliable data hiding using convolutional neural networks and adaptive loss optimization. [PDF]
Sci RepP M, T GK.
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Proceedings of the 2004 American Control Conference, 2004
The problem of linear model reduction is addressed. Given a state-space model of a linear time-invariant system, a model of prescribed order is obtained such that the H/sub 2/-norm of the difference between the transference of the two models is minimized. The reduced model is modeled as having the same order as the system but with a nonminimal observer
Y. Halevi, U. Shaked
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The problem of linear model reduction is addressed. Given a state-space model of a linear time-invariant system, a model of prescribed order is obtained such that the H/sub 2/-norm of the difference between the transference of the two models is minimized. The reduced model is modeled as having the same order as the system but with a nonminimal observer
Y. Halevi, U. Shaked
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, 2011 The first example involves the real data given in Table 1 which are the results of an interlaboratory test. The boxplots are shown in Fig. 1 where the dotted line denotes the mean of the observations and the solid line the median. We note that only the results of the Laboratories 1 and 3 lie below the mean whereas all the remaining laboratories return ...
Gather, Ursula, Davies, P. Laurie
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Nature Reviews Genetics, 2004
Robustness is a ubiquitously observed property of biological systems. It is considered to be a fundamental feature of complex evolvable systems. It is attained by several underlying principles that are universal to both biological organisms and sophisticated engineering systems.
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Robustness is a ubiquitously observed property of biological systems. It is considered to be a fundamental feature of complex evolvable systems. It is attained by several underlying principles that are universal to both biological organisms and sophisticated engineering systems.
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SIAM Journal on Discrete Mathematics, 2002
Summary: We consider complete graphs with nonnegative edge weights. A \(p\)-matching is a set of \(p\) disjoint edges. We prove the existence of a maximal (with respect to inclusion) matching \(M\) that contains for any \(p\leq|M|\) \(p\) edges whose total weight is at least \({1\over \sqrt 2}\) of the maximum weight of a \(p\)-matching.
Hassin, Refael, Rubinstein, Shlomi
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Summary: We consider complete graphs with nonnegative edge weights. A \(p\)-matching is a set of \(p\) disjoint edges. We prove the existence of a maximal (with respect to inclusion) matching \(M\) that contains for any \(p\leq|M|\) \(p\) edges whose total weight is at least \({1\over \sqrt 2}\) of the maximum weight of a \(p\)-matching.
Hassin, Refael, Rubinstein, Shlomi
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