نتایج جستجو برای: stepwise equilibrium

تعداد نتایج: 151870  

Journal: :IEEJ Transactions on Fundamentals and Materials 1988

Journal: :Computer Graphics Forum 2022

How will you repair a physical object with large missings? You may first recover its global yet coarse shape and stepwise increase local details. We are motivated to imitate the above procedure address point cloud completion task. propose novel network (SPCNet) for various 3D models missings. SPCNet has hierarchical bottom-to-up architecture. It fulfills in an iterative manner, which 1) infers ...

Journal: :Current Opinion in Structural Biology 2010

Journal: :Current Protocols in Nucleic Acid Chemistry 2004

Journal: :Journal of Computational and Graphical Statistics 2012

Journal: :Electronic Proceedings in Theoretical Computer Science 2016

2001
Donato Malerba Annalisa Appice Antonia Bellino Michelangelo Ceci Domenico Pallotta

Regression trees are tree-based models used to solve those prediction problems in which the response variable is numeric. They differ from the better-known classification or decision trees only in that they have a numeric value rather than a class label associated with the leaves. Model trees are an extension of regression trees in the sense that they associate leaves with multivariate linear m...

Journal: :Sci. Comput. Program. 1996
Michael J. Butler

The action system formalism 4] is a state-based approach to distributed computing. In this paper, it is shown how the action system formalism may be used to describe systems that communicate with their environment through synchronised value-passing. Deenitions and rules are presented for reening and decomposing such action systems into distributed implementations in which internal communication...

2005
Xipeng Qiu Lide Wu

Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when dealing with the high dimensional data. Moreover, while LDA is guaranteed to find the best directions when each class has a Gaussian density with a common covariance matrix, it can fail if the class densities are more ...

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