Resultados globales: 3 registros encontrados en 0.02 segundos.
Artículos, Encontrados 3 registros
Artículos Encontrados 3 registros  
1.
43 p, 963.7 KB Childhood family structure and complexity in partnership life courses / Hiekel, Nicole (Universität zu Köln) ; Vidal, Sergi (Centre d'Estudis Demogràfics)
This study investigated the associations between childhood living arrangements and complex adult partnership trajectories. The authors defined first union dissolution as the event initiating a complex partnership life course, and measured the level of complexity using a weighted cumulative index of subsequent partnership episodes. [...]
2020 - 10.1016/j.ssresearch.2019.102400
Social Science Research, Vol. 87 Núm. 102400 (March 2020)  
2.
18 p, 517.3 KB Evaluating the complexity of some families of functional data / Bongiorno, Enea (Università del Piemonte Orientale) ; Goia, Aldo (Università del Piemonte Orientale) ; Vieu, Philippe (Université Paul Sabatier. Institut de Mathématiques de Toulouse)
In this paper we study the complexity of a functional data set drawn from particular processes by means of a two-step approach. The first step considers a new graphical tool for assessing to which family the data belong: the main aim is to detect whether a sample comes from a monomial or an exponential family. [...]
2018 - 10.2436/20.8080.02.67
SORT : statistics and operations research transactions, Vol. 42 Núm. 1 (January-June 2018) , p. 27-44 (Articles)  
3.
16 p, 1.0 MB A reduced domain pool based on DCT for a fast fractal image encoding / Douda, Sofia (Faculté des Sciences et Techniques (Settat, Marroc)) ; Bagri, Abdallah (Faculté des Sciences et Techniques (Settat, Marroc)) ; Abdelhakim El Imrani, Amer (LCS, Faculté des Sciences (Rabat, Marroc))
Fractal image compression is time consuming due to the search of the matching between range and domain blocks. In order to improve this compression method, we propose firstly, in this paper, a fast method for reducing the computational complexity of fractal encoding by reducing the size of the domain pool. [...]
2011 - 10.5565/rev/elcvia.389
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 10, Núm. 1 (December 2011) , p. 11-23  

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