Results 241 to 250 of about 2,731,359 (291)

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Sequence-free landscape inference for directed evolution. [PDF]

open access: yesPLoS Comput Biol
Towers S, James J, Steel H, Kempf I.
europepmc   +1 more source

On orlicz sequence spaces

Israel Journal of Mathematics, 1971
It is proved that every Orlicz sequence space contains a subspace isomorphic to somel p . The question of uniqueness of symmetric bases in Orlicz sequence spaces is investigated.
Lindenstrauss, J., Tzafriri, L.
openaire   +2 more sources

Finitary sequence spaces

Mathematical Logic Quarterly, 1993
AbstractThis paper studies the metric structure of the space Hr of absolutely summable sequences of real numbers with at most r nonzero terms. Hr is complete, and is located and nowhere dense in the space of all absolutely summable sequences. Totally bounded and compact subspaces of Hr are characterized, and large classes of located, totally bounded ...
openaire   +3 more sources

Convergence in Sequence Spaces

Proceedings of the Edinburgh Mathematical Society, 1958
In a perfect sequence space α, on which a norm is defined, we can consider three types of convergence, namely projective convergence, strong projective convergence and distance convergence. In the space σ∞, when distance is defined in the usual way, the last two types of convergence coincide and are distinct from projective convergence ((2), p.
openaire   +2 more sources

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