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3![26 CPAdd MR Diffusion Model Quantities and Parameters for Parametric Maps and ROI Measurements 1 26 CPAdd MR Diffusion Model Quantities and Parameters for Parametric Maps and ROI Measurements 1](https://www.pdfsearch.io/img/01259e4031700aab04f4178449de64d9.jpg) | Add to Reading ListSource URL: dicom.nema.org- Date: 2017-05-03 18:36:54
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4![EDA221 – Introduction to Computer Graphics, 2013 Assignment 2 – Tessellation and Interpolation In this assignment you will tessellate your own model from a parametric equation. This task involves setting up appropri EDA221 – Introduction to Computer Graphics, 2013 Assignment 2 – Tessellation and Interpolation In this assignment you will tessellate your own model from a parametric equation. This task involves setting up appropri](https://www.pdfsearch.io/img/f6605b0c9383d13758cc727031b3613c.jpg) | Add to Reading ListSource URL: fileadmin.cs.lth.se- Date: 2013-09-19 06:26:31
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5![EDA221 – Introduction to Computer Graphics, 2016 Assignment 2 – Tessellation and Interpolation In this assignment you will tessellate your own model from a parametric equation. This task involves setting up appropri EDA221 – Introduction to Computer Graphics, 2016 Assignment 2 – Tessellation and Interpolation In this assignment you will tessellate your own model from a parametric equation. This task involves setting up appropri](https://www.pdfsearch.io/img/433041ab6c6c72a2bbee4de8da58c30d.jpg) | Add to Reading ListSource URL: fileadmin.cs.lth.se- Date: 2016-09-15 06:51:02
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6![A parametric family of model distribution functions for hybrid MHD-GK numerical simulations of energetic particle induced collective effects in FAST scenarios with ICRH and NNBI C. Di Troia, S. Briguglio, G. Fogaccia, G. A parametric family of model distribution functions for hybrid MHD-GK numerical simulations of energetic particle induced collective effects in FAST scenarios with ICRH and NNBI C. Di Troia, S. Briguglio, G. Fogaccia, G.](https://www.pdfsearch.io/img/5e0398b9fbac3fd3bc8f807d99fd59da.jpg) | Add to Reading ListSource URL: www.afs.enea.it- Date: 2013-10-07 10:03:59
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8![Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model](https://www.pdfsearch.io/img/6ae740c0b34f5565386af3eddc2eebe1.jpg) | Add to Reading ListSource URL: www.dcc.fc.up.ptLanguage: English - Date: 2012-12-13 10:18:43
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9![Illumination Planning for 0bject Recognit ion in Structured Environments * Shree K . Nayar Hiroshi Murase NTT Basic Research Labs Illumination Planning for 0bject Recognit ion in Structured Environments * Shree K . Nayar Hiroshi Murase NTT Basic Research Labs](https://www.pdfsearch.io/img/00643ae35718be40828f6770f2d8a149.jpg) | Add to Reading ListSource URL: www.cs.columbia.eduLanguage: English - Date: 2005-07-11 01:36:46
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10![Technical Note: Analyzing land cover change with logistic regression in R D G Rossiter∗ Analía Loza† Version 2.4; May 14, 2016 Technical Note: Analyzing land cover change with logistic regression in R D G Rossiter∗ Analía Loza† Version 2.4; May 14, 2016](https://www.pdfsearch.io/img/cca83ac1e3d8aacad5bcb93623d2cb12.jpg) | Add to Reading ListSource URL: www.css.cornell.eduLanguage: English - Date: 2016-05-14 10:53:21
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