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Integrated analysis of post-transcriptional regulations reveals insights into acute myeloid leukemia. [PDF]
Khadra E +22 more
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Bovine uterine fluid lipidome parallels embryo and conceptus developmental milestones†. [PDF]
González-Brusi L +6 more
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Cross-sectional psychometric validation, convergent validity, and measurement invariance of the DASS-21 in Mexican university students. [PDF]
Silva Castillo LH +4 more
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Towards optimal ranking metrics
Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Cat. No.98EX237), 2002Euclidean metric is frequently used in computer vision, mostly ad-hoc without any justification. However we have found that other metrics like double exponential metric or Cauchy one provide better results, in accordance with the maximum likelihood approach.
Sebe, Niculae +2 more
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Toward improved ranking metrics
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000In many computer vision algorithms, a metric or similarity measure is used to determine the distance between two features. The Euclidean or SSD (sum of the squared differences) metric is prevalent and justified from a maximum likelihood perspective when the additive noise distribution is Gaussian.
Sebe, Niculae +2 more
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2021
In the space \(\mathrm {H}_n(q^2)\) of Hermitian matrices over \(\mathbb {F}_{q^2}\) of order n we can define a d-code as subset \(\mathrm {C}\) of \(\mathrm {H}_n(q^2)\) such that \(\mathrm {rk}(A-B)\ge d\) for every \(A, B \in \mathrm {C}\) with \(A\ne B\).
Trombetti, Rocco, Zullo, Ferdinando
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In the space \(\mathrm {H}_n(q^2)\) of Hermitian matrices over \(\mathbb {F}_{q^2}\) of order n we can define a d-code as subset \(\mathrm {C}\) of \(\mathrm {H}_n(q^2)\) such that \(\mathrm {rk}(A-B)\ge d\) for every \(A, B \in \mathrm {C}\) with \(A\ne B\).
Trombetti, Rocco, Zullo, Ferdinando
openaire +3 more sources

