Outlier-robust segmentation solution – model-based approach

2009 ◽  
Vol 4 (3) ◽  
pp. 203-213
Author(s):  
Ewa Nowakowska
Keyword(s):  
Solution Model ◽  
Model Based ◽  
Robust Segmentation

CORPORATION CRIMINAL RESPONSIBILITY MODEL BASED ON RESTORATIVE JUSTICE APPROACH IN INDONESIA

2016 ◽  
Vol 1 (1) ◽  
pp. 127
Author(s):  
Pujiyono Pujiyono
Keyword(s):  
Restorative Justice ◽  
Criminal Law ◽  
Corporate Crime ◽  
Criminal Responsibility ◽  
Secondary Data ◽  
Solution Model ◽  
Model Based ◽  
Track System ◽  
Responsibility Model

Based on delinquiry non-potes doctrine, perpetrator and criminal responsibility are done by human (natuurlijk persoonen). Modernity can not be avoided by the development of corporation function. A research is needed to be conducted to answer questions whether criminal law is effective to overcome corporate crime and which corporation criminal responsibility model that can keep the balance of the protection of society and corporation interests through restorative justice approach. This study focuses on finding a win-win solution model of corporation criminal responsibility policy to keep the balance of the protection of society and corporation interests. This study used normative juridical method based on the secondary data,. The result of this research shows that criminal law with its retributive approach and its action which focus on the perpetrator is ineffective to handle corporate crime, because it ignores the victim To overcome those problems, corporation criminal responsibility model based on restorative justice approach in the form of “dual track system selective” is introduced.  Keywords: Criminal Responsibility, Corporation and Restorative Justice

CALPHAD aqueous solution model based on the BET approach: General theory

Calphad ◽  
2018 ◽  
Vol 63 ◽  
pp. 1-5 ◽  
Author(s):  
Risto Pajarre ◽  
Pertti Koukkari
Keyword(s):  
Aqueous Solution ◽  
General Theory ◽  
Solution Model ◽  
Model Based

Viscosities of mixtures of chloroform + triethylamine: analysis in terms of three components (A, B, and AB)

1989 ◽  
Vol 67 (3) ◽  
pp. 446-448 ◽  
Author(s):  
Richard P. Schutte ◽  
Terry C. Liu ◽  
Loren H. Hepler
Keyword(s):  
Complex Formation ◽  
Type A ◽  
Adjustable Parameter ◽  
Solution Model ◽  
New Combination ◽  
Model Based ◽  
Ideal Associated Solution Model ◽  
Associated Solution Model ◽  
Associated Solution ◽  
The Ideal

Viscosities and densities of highly non-ideal mixtures of chloroform (A) + triethylamine (B) have been measured at 25 °C. It has been shown that the Grunberg equation (one adjustable parameter) can account for these viscosities over the whole range of compositions. It has also been shown that a new combination of the ideal associated solution model, based on consideration of an equilibrium of the type A + B = AB, with an ideal viscosity equation (also one adjustable parameter) accounts more accurately for all of the viscosities. This latter treatment also has the advantage of offering a clear pictorial model of the mixtures. Keywords: viscosity of solution, complex formation in solution, chloroform + triethylamine, triethylamine + chloroform.

Study of Strong Moire-Fringe Density and Direction in Noisy Phase Maps

2012 ◽  
Vol 433-440 ◽  
pp. 3815-3819
Author(s):  
Tian Ze Li ◽  
Ke Ping Hu ◽  
Luan Hou ◽  
Chuan Jiang ◽  
Xia Zhang
Keyword(s):  
Phase Unwrapping ◽  
Fourier Domain ◽  
Fringe Analysis ◽  
Phase Jump ◽  
Model Based ◽  
Preprocessing Method ◽  
Robust Segmentation ◽  
Moire Fringe ◽  
Phase Data ◽  
Moiré Fringe

In this paper, strong Moire-fringe density and direction are studied in noisy phase maps using a preprocessing method of automatic Moire–fringe analysis. This information can be used to improve the performance of 2-D phase unwrapping methods, to construct phase-jump-preserving filtering strategies, and also to perform robust segmentation of phase data. The method is highly insensitive to noise, is model based and perforros the studies in the Fourier domain.

scholarly journals Robust segmentation of intraretinal layers in the normal human fovea using a novel statistical model based on texture and shape analysis

2010 ◽  
Vol 18 (14) ◽  
pp. 14730 ◽  
Author(s):  
Vedran Kajić ◽  
Boris Považay ◽  
Boris Hermann ◽  
Bernd Hofer ◽  
David Marshall ◽  
...  
Keyword(s):  
Statistical Model ◽  
Shape Analysis ◽  
Model Based ◽  
Robust Segmentation ◽  
Normal Human

(Ca,Mg)2Si2O6 clinopyroxenes: A solution model based on nonconvergent site-disorder

1982 ◽  
Vol 80 (1) ◽  
pp. 88-102 ◽  
Author(s):  
Paula M. Davidson ◽  
John Grover ◽  
Donald H. Lindsley
Keyword(s):  
Solution Model ◽  
Model Based ◽  
Site Disorder

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  
Keyword(s):  
Image Analysis ◽  
Mammary Epithelial Cells ◽  
Nuclear Organization ◽  
Critical Role ◽  
Quantitative Model ◽  
Mammary Epithelial ◽  
Cell Phenotype ◽  
Proliferating Cells ◽  
Mitotic Apparatus ◽  
Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

Model-Based Clustering and Classification for Data Science

2019 ◽  
Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery
Keyword(s):  
Data Science ◽  
Model Based Clustering ◽  
Model Based ◽  
Clustering And Classification
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