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He will be called distinguished, serious even, with his ageing hair.
This article treats Nevanlinna Pick interpolation in the setting of a special class of algebraic curves called distinguished varieties.
On L π E Open image in new window, l g = l g AB c A ⊗ c B = l g a ' b ' z a ' ⊗ z b ' + l g ab v a ω v b Open image in new window (83) called distinguished metrics (d-metrics) defined by the corresponding Lagrangians. .
called distinguished metrics (d-metrics) defined by the corresponding Lagrangians.
called distinguished metrics (d-metrics) defined by the corresponding Lagrangians and, induced by such Lagrangians, canonical N-connections.
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And recent scholarship has established that Junius, whom Paul calls "distinguished among the apostles," was actually Junia, a woman whose name was made masculine by later translators.
Codes 97, 98 were collapsed into M (missing); 96, 99 into Y (unscorable or invisible surface) For purposes of scoring our outcome measures, calls distinguished by P as the first character are collapsed into the most similar caries status category (see Table 1, e.g., PD2 with D2), since transition to or from a surface with pits & fissure sealant (P) does not indicate a change in caries status.
We show how appropriately chosen functions f which we call distinguishing can be used to make deterministic finite automata backward deterministic.
When even the veracity of ambience is hard to call, distinguishing between the bona fide star and the copycat becomes yet harder; maybe even less necessary.
In this paper, combining the ideas of MVU and Laplacian eigenmaps, we propose a new nonlinear dimensionality reduction method called distinguishing variance embedding (DVE).
In this paper, combining the ideas of MVU and Laplacian eigenmaps, we propose a new nonlinear dimensionality reduction method called distinguishing variance embedding (DVE), which unfolds the data manifold by maximizing the global variance subject to the proximity relation preservation constraint originated in Laplacian eigenmaps.
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