Results 281 to 290 of about 3,023,466 (332)

A deep learning methodology for fully-automated quantification of calcific burden in high-resolution intravascular ultrasound images. [PDF]

open access: yesInt J Cardiovasc Imaging
He X   +14 more
europepmc   +1 more source

Balancing opposing cues: seasonal shifts in push-pull drivers of migration in a temperate waterfowl species. [PDF]

open access: yesMov Ecol
Bakner NW   +9 more
europepmc   +1 more source

Jackknife minimum distance estimation

Economics Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kézdi, Gábor   +2 more
openaire   +2 more sources

Minimum distance estimators

Journal of Statistical Planning and Inference, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hettmansperger, T. P.   +2 more
openaire   +1 more source

Minimum Average Distance Clique Trees

SIAM Journal on Discrete Mathematics, 2015
Summary: Chordal graphs have been extensively studied and have applications in various fields, including computational biology, sparse matrix computation, and graphical models. They are characterized by the existence of clique trees, whose vertices correspond to the maximal cliques of a chordal graph.
Xu, Shou-Jun, Gysel, Rob, Gusfield, Dan
openaire   +2 more sources

Viewing distance with minimum heterophoria

Clinical and Experimental Optometry, 1999
BACKGROUND: The purposes of this study are to determine the viewing distance with minimum heterophoria and its relationship with refractive error and the resting position of accommodation. METHODS: The heterophoria and the accommodation responses of 36 optometry students (25 emmetropes and 11 myopes) were tested. Heterophoria was measured with the Free-
Ai-Hong, Chen, Abdul, Aziz
openaire   +2 more sources

The minimum barrier distance

Computer Vision and Image Understanding, 2013
In this paper we introduce a minimum barrier distance, MBD, defined for the (graphs of) real-valued bounded functions f"A, whose domain D is a compact subsets of the Euclidean space R^n. The formulation of MBD is presented in the continuous setting, where D is a simply connected region in R^n, as well as in the case where D is a digital scene.
Robin Strand   +3 more
openaire   +1 more source

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