Density estimation

Results: 386



#Item
11© DIGITAL VISION  A Tutorial on Fast Fourier Sampling [How to apply it to problems] C. Gilbert,

© DIGITAL VISION A Tutorial on Fast Fourier Sampling [How to apply it to problems] C. Gilbert,

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Source URL: users.cms.caltech.edu

Language: English - Date: 2008-03-24 09:14:54
12EUROGRAPHICSH. Hauser and E. Reinhard  STAR – State of The Art Report State of the Art in Procedural Noise Functions A. Lagae1,2 S. Lefebvre2,3 R. Cook4 T. DeRose4 G. Drettakis2 D.S. Ebert5 J.P. Lewis6 K. Perlin

EUROGRAPHICSH. Hauser and E. Reinhard STAR – State of The Art Report State of the Art in Procedural Noise Functions A. Lagae1,2 S. Lefebvre2,3 R. Cook4 T. DeRose4 G. Drettakis2 D.S. Ebert5 J.P. Lewis6 K. Perlin

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Source URL: scribblethink.org

Language: English - Date: 2011-03-25 22:04:41
13Simulation-Based Density Estimation for Time Series using Covariate Data∗ Yin Liaoa and John Stachurskib a School  of Economics and Finance, Queensland University of Technology

Simulation-Based Density Estimation for Time Series using Covariate Data∗ Yin Liaoa and John Stachurskib a School of Economics and Finance, Queensland University of Technology

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Source URL: johnstachurski.net

Language: English - Date: 2016-06-19 06:01:57
14Nonparametric spectral analysis with applications to seizure characterization using EEG time series

Nonparametric spectral analysis with applications to seizure characterization using EEG time series

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Source URL: arxiv.org

Language: English - Date: 2009-01-27 11:29:59
15THE SOUSTA CORPUS: BEAT-INFORMED AUTOMATIC TRANSCRIPTION OF TRADITIONAL DANCE TUNES Andre Holzapfel Austrian Research Institute for Artificial Intelligence (OFAI)

THE SOUSTA CORPUS: BEAT-INFORMED AUTOMATIC TRANSCRIPTION OF TRADITIONAL DANCE TUNES Andre Holzapfel Austrian Research Institute for Artificial Intelligence (OFAI)

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Source URL: wp.nyu.edu

Language: English - Date: 2016-08-16 16:20:32
16Learning Quadratic Forms by Density Estimation and its Applications to Image Coding Hauke Bartsch, Sepp Hochreiter and Klaus Obermayer Dept. of Computer Science, Technische Universit¨ at Berlin, Germany,

Learning Quadratic Forms by Density Estimation and its Applications to Image Coding Hauke Bartsch, Sepp Hochreiter and Klaus Obermayer Dept. of Computer Science, Technische Universit¨ at Berlin, Germany,

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Source URL: www.bioinf.jku.at

Language: English - Date: 2006-05-15 05:02:22
17March 8, :3 WSPCAADAAdvances in Adaptive Data Analysis Vol. 3, No–508

March 8, :3 WSPCAADAAdvances in Adaptive Data Analysis Vol. 3, No–508

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Source URL: rcada.ncu.edu.tw

Language: English - Date: 2012-04-22 23:10:51
18Patuxent Wildlife Research Center Estimation of Density and Abundance of Biological Populations on National Parks and Wildlife Refuges Through Distance Sampling The Challenge: Assessing the status and trends of populatio

Patuxent Wildlife Research Center Estimation of Density and Abundance of Biological Populations on National Parks and Wildlife Refuges Through Distance Sampling The Challenge: Assessing the status and trends of populatio

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Source URL: www.pwrc.usgs.gov

Language: English - Date: 2013-02-04 09:50:05
19Unsupervised Learning with Optimal Kernels Sepp Hochreiter and Klaus Obermayer Technische Universit¨at Berlin Abstract We investigate the optimal kernel for sample-based model selection in unsupervised learning if maxim

Unsupervised Learning with Optimal Kernels Sepp Hochreiter and Klaus Obermayer Technische Universit¨at Berlin Abstract We investigate the optimal kernel for sample-based model selection in unsupervised learning if maxim

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Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:37:15
20Chapter 14  Regularization In several sections of this book we touched on the topic of regularization (see, e.g., §and §A variety of statistical procedures and machine learning algorithms employ regular

Chapter 14 Regularization In several sections of this book we touched on the topic of regularization (see, e.g., §and §A variety of statistical procedures and machine learning algorithms employ regular

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Source URL: johnstachurski.net

Language: English - Date: 2016-06-24 09:25:50