1![Model fitting and power in fast event-related designs Model fitting and power in fast event-related designs](https://www.pdfsearch.io/img/0fdd7da8afff9fa3e777e078babb0c0b.jpg) | Add to Reading ListSource URL: matthew.dynevor.orgLanguage: English - Date: 2018-05-11 06:08:06
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2![Marker-less Human Motion Estimation using Articulated Deformable Model Koichi Ogawara and Xiaolu Li and Katsushi Ikeuchi Abstract— This paper presents a novel whole body motion estimation method by fitting a deformable Marker-less Human Motion Estimation using Articulated Deformable Model Koichi Ogawara and Xiaolu Li and Katsushi Ikeuchi Abstract— This paper presents a novel whole body motion estimation method by fitting a deformable](https://www.pdfsearch.io/img/942c1d3c8318d9000b4c69cac42a5c72.jpg) | Add to Reading ListSource URL: www.wakayama-u.ac.jpLanguage: English - Date: 2007-04-27 05:34:08
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3![「画像の認識・理解シンポジウム (MIRU2007)」 2007 年 7 月 Automatically Learning the Objective Function for Model Fitting Matthias WIMMER† and Bernd RADIG† † Fakult¨at f¨ ur Informatik, Technisc 「画像の認識・理解シンポジウム (MIRU2007)」 2007 年 7 月 Automatically Learning the Objective Function for Model Fitting Matthias WIMMER† and Bernd RADIG† † Fakult¨at f¨ ur Informatik, Technisc](https://www.pdfsearch.io/img/988e385a64db8e23e3a992867b44072b.jpg) | Add to Reading ListSource URL: ias.in.tum.deLanguage: English - Date: 2011-07-21 05:07:05
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4![1 Learning Robust Objective Functions for Model Fitting in Image Understanding Applications Matthias Wimmer, Freek Stulp, Stephan Tschechne, Bernd Radig Fakult¨at f¨ur Informatik, Technische Universit¨at M¨unchen, 1 Learning Robust Objective Functions for Model Fitting in Image Understanding Applications Matthias Wimmer, Freek Stulp, Stephan Tschechne, Bernd Radig Fakult¨at f¨ur Informatik, Technische Universit¨at M¨unchen,](https://www.pdfsearch.io/img/2bd9ad50ac8035749ab111bbb51b1bd1.jpg) | Add to Reading ListSource URL: ias.in.tum.deLanguage: English - Date: 2011-07-21 05:07:05
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5![Learning Robust Objective Functions with Application to Face Model Fitting Matthias Wimmer1 , Sylvia Pietzsch2 , Freek Stulp3 , and Bernd Radig2 1 Faculty of Science and Engineering, Waseda University, Tokyo, Japan Learning Robust Objective Functions with Application to Face Model Fitting Matthias Wimmer1 , Sylvia Pietzsch2 , Freek Stulp3 , and Bernd Radig2 1 Faculty of Science and Engineering, Waseda University, Tokyo, Japan](https://www.pdfsearch.io/img/0c3ac76e51dd3b554af911a12d4d1abf.jpg) | Add to Reading ListSource URL: ias.in.tum.deLanguage: English - Date: 2011-07-21 05:07:08
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6![Introduction to iKern iKern is a tool for letter-fitting (spacing and kerning) fonts. iKern is a mathematical model of the interaction between separate generic shapes conceived for the task of letter-fitting. iKern is
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7![Supporting Information S1 Fitting the K-pairwise maximum entropy model to data Supporting Information S1 Fitting the K-pairwise maximum entropy model to data](https://www.pdfsearch.io/img/b7c2e053323cad2447f488cd7e9823a7.jpg) | Add to Reading ListSource URL: www.mackelab.org- Date: 2016-08-04 15:02:45
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8![Gaskets TURFMASTER no Description Model Gaskets TURFMASTER no Description Model](https://www.pdfsearch.io/img/cdc0135d223109b22075732412186255.jpg) | Add to Reading ListSource URL: www.turfmaster.co.zaLanguage: English - Date: 2016-02-24 04:25:55
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9![SANITEC FITTING Sensor Option For All CS10 and CS51 Sensor Models Model CSXX-STF SANITEC FITTING Sensor Option For All CS10 and CS51 Sensor Models Model CSXX-STF](https://www.pdfsearch.io/img/06b7b9f7e0112e1d5b29ff1f32a76345.jpg) | Add to Reading ListSource URL: www.myronl.comLanguage: English - Date: 2012-04-14 19:53:59
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10![Paper 287 Fitting Nonlinear Mixed Models with the New NLMIXED Procedure Russell D. Wolfinger, SAS Institute Inc., Cary, NC ABSTRACT Paper 287 Fitting Nonlinear Mixed Models with the New NLMIXED Procedure Russell D. Wolfinger, SAS Institute Inc., Cary, NC ABSTRACT](https://www.pdfsearch.io/img/c991acfe92d0adde947b56b83500c585.jpg) | Add to Reading ListSource URL: www.ats.ucla.eduLanguage: English - Date: 2016-08-17 18:18:26
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