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Integrated analysis of post-transcriptional regulations reveals insights into acute myeloid leukemia. [PDF]

open access: yesCommun Biol
Khadra E   +22 more
europepmc   +1 more source

Bovine uterine fluid lipidome parallels embryo and conceptus developmental milestones†. [PDF]

open access: yesBiol Reprod
González-Brusi L   +6 more
europepmc   +1 more source

Cross-sectional psychometric validation, convergent validity, and measurement invariance of the DASS-21 in Mexican university students. [PDF]

open access: yesFront Psychol
Silva Castillo LH   +4 more
europepmc   +1 more source
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Towards optimal ranking metrics

Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Cat. No.98EX237), 2002
Euclidean 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
openaire   +2 more sources

Toward improved ranking metrics

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
In 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
openaire   +2 more sources

Hermitian Rank-Metric Codes

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
openaire   +3 more sources

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