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Statistical models of object interaction

R.J. Morris, D.C. Hogg
Proceedings 1998 IEEE Workshop on Visual Surveillance  
We present a method for assessing the likelihood of a trajectory of an object through a scene consisting of a number of other objects.  ...  The closest points on the trajectory to the other objects are chosen as landmark points and at each landmark we calculate the probability of the interaction based on the speed and distance.  ...  Acknowledgment This work was supported as part of the EPSRC IMV project, Grant No. GR/K46620, while the first author was at the School of Computer Science, University of Leeds.  ... 
doi:10.1109/wvs.1998.646024 fatcat:elforqmncngwdom6zwnlln2sli

Linear and non-linear model for statistical localization of landmarks

B. Romaniuk, M. Desvignes, M. Revenu, M.J. Deshayes
Object recognition supported by user interaction for service robots  
This paper presents and compares 3 methods for the statistical localization of partially occulted landmarks.  ...  These parts are estimated by 3 statistical approaches : a rigid registration, a linear method derived from PCA, which represents spatial relationships, and a non linear model based upon Kernel PCA.  ...  , using statistical models and training sets.  ... 
doi:10.1109/icpr.2002.1047478 dblp:conf/icpr/RomaniukDRD02 fatcat:pv2celqkkfevfl2gc6tm2kalya

Beyond co-localization: inferring spatial interactions between sub-cellular structures from microscopy images

Jo A Helmuth, Grégory Paul, Ivo F Sbalzarini
2010 BMC Bioinformatics  
Nevertheless, the mathematical form of the Gibbs process corresponds to physical models of interacting objects. The potential associates an energy level with each pair {i, j} of interacting objects.  ...  All interaction models will be formulated as specific instances of such a model.  ...  Author details 1 Institute of Theoretical Computer Science, ETH Zurich, Universitätstrasse 6, 8092 Zürich, Switzerland. 2 Swiss Institute of Bioinformatics, ETH Zurich, Universitätstrasse 6, 8092 Zürich  ... 
doi:10.1186/1471-2105-11-372 pmid:20609242 pmcid:PMC2919515 fatcat:lxhsvjq4yjhodbw3csw5osmqoa

A generic model for the integration of interactive visualization and statistical computing using R

Johannes Kehrer, Roland N. Boubela, Peter Filzmoser, Harald Piringer
2012 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)  
Further aspects include the integration of the R console and an R object browser as views in our system. We illustrate our approach by means of an interactive modeling process.  ...  In this model, interactive selections are a key aspect to trigger and control computations in R.  ...  INTERACTIVE CREATION OF REGRESSION MODELS We demonstrate the advantages of combining interactive visualization and statistical computing via R.  ... 
doi:10.1109/vast.2012.6400537 dblp:conf/ieeevast/KehrerBFP12 fatcat:vh2d6ekzrbbvzpxr6dblenqx2m

iPlots eXtreme: next-generation interactive graphics design and implementation of modern interactive graphics

Simon Urbanek
2011 Computational statistics (Zeitschrift)  
Interactive graphics provide a very important tool that facilitates the process of exploratory data and model analysis which is a crucial step in real-world applied statistics.  ...  to support interactive models.  ...  Interactive models are statistical models that can be visualized in plots and modified interactively.  ... 
doi:10.1007/s00180-011-0240-x fatcat:kcga7rahu5c3hmcy523yqpqzc4

Comprehensive Sensitivity Analysis in NLP Models in PSE Applications Using Space-Filling DOE Strategy

R.R. Tan, K.B. Aviso, O.M. Uy
2015 Chemical Engineering Transactions  
Space-filling designs are used as a basis to generate proxy regression models with quadratic and interaction terms, in order to capture curvature of the sensitivity surface.  ...  First, they represent only changes in the optimal value of an objective function with respect to small changes in parameter values, and thus remain valid only near the immediate vicinity of the nominal  ...  Statistical analysis of the regression model is given in Table 2 .  ... 
doi:10.3303/cet1545088 doaj:9dc24b34821c4b87825c8edc5554a62f fatcat:fa7yxz7bqjckteeksqysnngmli

Healthy interaction between fiscal and monetary policies; A panacea for economic development and sustainability

Chima Kenneth Anachedo, Jisike Jude Okonkwo, Elechi Sarah Jeff-Anyeneh, Chisom Njideka Ezeaku
2022 World Journal of Advanced Research and Reviews  
This study uses time series data from 1995 to 2021 which were sourced from the Central Bank of Nigeria Statistical Bulletin.  ...  This work seeks to look at the effect of monetary and fiscal policies on economic growth in Nigeria, to examine how government tax alter the effect of monetary policy, To see how interaction of government  ...  The F-statistic of the OLS regression (F=1273.302) is statistically significant (p<0.05); this indicates an overall significance of the effects of the interaction of monetary policy and fiscal policy,  ... 
doi:10.30574/wjarr.2022.15.1.0741 fatcat:7ws7q2iiwbd3raiib5u64tjany

Autoplotly - Automatic Generation of Interactive Visualizations for Popular Statistical Results [article]

Yuan Tang
2018 arXiv   pre-print
The autoplotly package provides functionalities to automatically generate interactive visualizations for many popular statistical results supported by ggfortify package with plotly and ggplot2 style.  ...  The generated visualizations can also be easily extended using ggplot2 and plotly syntax while staying interactive.  ...  Often times users only want to quickly iterate the process of exploring data, building statistical models, and visualizing the model results, especially the models that focus on common tasks such as clustering  ... 
arXiv:1803.08424v1 fatcat:kvkilllhp5efnnew6iq4bjf4iq

Beyond Pairs: Generalizing the Geo-dipole for Quantifying Spatial Patterns in Geographic Fields [chapter]

Rui Zhu, Phaedon C. Kyriakidis, Krzysztof Janowicz
2017 Lecture Notes in Geoinformation and Cartography  
Such statistics alone cannot capture the full complexity of urban or natural structures embedded in geographic fields.  ...  statistics provide a richer analytical framework.  ...  The authors demonstrated that the geo-dipole is capable of representing many analytical interaction models, such as object fields, metamaps, object pairs, and association classes.  ... 
doi:10.1007/978-3-319-56759-4_19 fatcat:56nx43sp3vc6piisi6jovonmgu

KulkeSupplementE – Supplemental material for Is Implicit Theory of Mind a Real and Robust Phenomenon? Results From a Systematic Replication Study

Louisa Kulke, Britta Von Duhn, Dana Schneider, Hannes Rakoczy
2018 Figshare  
Supplemental material, KulkeSupplementE for Is Implicit Theory of Mind a Real and Robust Phenomenon?  ...  Bayesian statistics looking at the difference between the null model and a model including the interaction of AQ split and belief, BF10 = 0.085, the difference between the null model and a model including  ...  Bayesian statistics investigating the difference between the null model and a model including the interaction of AQ split and belief, BF10 = 0.072, the difference between the null model and a model including  ... 
doi:10.25384/sage.6148532 fatcat:gwuiaamezzc5bfjagfu2ebxcm4

Level set segmentation with robust image gradient energy and statistical shape prior

S. Y. Yeo, X. Xie, I. Sazonov, P. Nithiarasu
2011 2011 18th IEEE International Conference on Image Processing  
Statistical shape information is incorporated using nonparametric shape density distribution, which allows the model to handle relatively large shape variations.  ...  Comparative examples using both synthetic and real images show the robustness and efficiency of the proposed method.  ...  The statistical shape information is incorporated into the model using nonparametric shape density distribution of the training shapes.  ... 
doi:10.1109/icip.2011.6116439 dblp:conf/icip/YeoXSN11 fatcat:xzowbzdkgzhvfolcv47zvtv6fq

Page 3266 of Psychological Abstracts Vol. 83, Issue 8 [page]

1996 Psychological Abstracts  
An interactive activation approach to object processing: Effects of structural similarity, name frequency, and task in normality and pathology.  ...  Interactive models of lexicalization: Some constraints from speech error, picture naming, and neuropsychological data. [In: (PA Vol 83: 24674) Connectionist models of memory and language.  ... 


Arnaud Emilien, Ulysse Vimont, Marie-Paule Cani, Pierre Poulin, Bedrich Benes
2015 ACM Transactions on Graphics  
Our method captures both distributions of elements and structured objects, and models their interactions.  ...  Our real-time approach takes a form of local inverse procedural modeling based on intermediate statistical models: selected regions of procedurally and manually constructed example scenes are analyzed,  ...  Acknowledgments The authors would like to thank the computer artists Laura Paiardini and Romain Testylier for their contributions to 3D models and 2D map textures.  ... 
doi:10.1145/2766975 fatcat:khficcyrv5dd7livmx4y6drmsu

Page 1012 of Mathematical Reviews Vol. , Issue 88b [page]

1988 Mathematical Reviews  
It thereby follows that decomposable mixed interaction models can 62 STATISTICS be analyzed by combining standard methods.”  ...  (DK-ALBG-ES) Test of hypotheses in decomposable mixed interaction models. (French summary) Proceedings of the 45th session of the International Statistical Institute, Vol. 4 (Amsterdam, 1985).  ... 

Interactive polygons in region-based deformable contours for medical images

Yaoyao Zhu, Tian Shen, Daniel Lopresti, Xiaolei Huang
2009 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
These interactive polygons are used to update the region statistics in the original model and help the model deform to the desirable boundaries.  ...  These interaction polygons are designed for use with the Active Volume Model segmentation method [1], which deforms with constraints from both Region Of Interest (ROI) and image gradient information.  ...  An approximation of the object appearance statistics, the model-interior statistics are learned adaptively during model evolution.  ... 
doi:10.1109/isbi.2009.5192977 dblp:conf/isbi/ZhuSLH09 fatcat:xzmxq3qfz5cidklal7aajppdke
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