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Advances in data science / Ilke Demir, Yifei Lou, Xu Wang, Kathrin Welker, editors.

Contributor(s): Material type: TextLanguage: English Series: Association for Women in Mathematics Series ; volume 26.Publication details: Cham, Switzerland : Springer, 2021.Description: 1 online resourceISBN:
  • 9783030798918
  • 3030798917
Subject(s): DDC classification:
  • 004.015 23 DEM
Online resources:
Contents:
Part I: Image Processing.- Two-stage Geometric Information Guided Image Processing (J. Qin and W. Guo).- Image Edge Sharpening via Heaviside Substitution and Structure Recovery (L. Deng, W. Guo, and T. Huang).- Two-step Blind Deconvolution of UPC-A Barcode Images (B. Kim and Y. Lou).- Part II: Shape and Geometry.- An Anisotropic Local Method for Boundary Detection in Images (M. Lund, M. Howard, D. Wu, R. S. Crum, D. J. Miller, and M. C. Akin).- Towards Learning Geometric Shape Parts (A. Fondevilla, G. Morin, and K. Leonard).- Machine Learning in LiDAR 3D Point Clouds (F. P. Medina and R. Paffenroth).- Part III: Machine Learning.- Fitting Small Piece-wise Linear Neural Network Models to Interpolate Data Sets (L. Ness).- On Large-Scale Dynamic Topic Modelling with Nonnegative CP Tensor Decomposition (M. Ahn, N. Eikmeier, J. Haddock, L. Kassab, A. Kryshchenko, K. Leonard, D. Needell, R. W. M. A. Madushani, E. Sizikova, and C. Wang).- A Simple Recovery Framework for Signals with Time-Varying Sparse Support (N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, and J. Qin).- Part IV: Data Analysis.- Role Detection and Prediction in Dynamic Political Networks (E. Evans, W. Guo, A. Genctav, S. Tari, C. Domeniconi, A. Murillo, J. Chuang, L. AlSumait, P. Mani, and N. Youssry).- Classifying Sleep States Using Persistent Homology and Markov Chains: A Pilot Study (S. Tymochko, K. Singhal, and G. Heo).- A Survey of Statistical Learning Techniques as Applied to Inexpensive Pediatric Obstructive Sleep Apnea Data (E. T. Winn, M. Vazquez, P. Loliencar, K. Taipale, X. Wang, and G. Heo).- Nonparametric Estimation of Blood Alcohol Concentration from Transdermal Alcohol Measurements Using Alcohol Biosensor Devices (A. Kryshchenko, M. Sirlanci, and B. Vader).
Summary: This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
General Books CUTN Central Library Generalia Non-fiction 004.015 DEM (Browse shelf(Opens below)) Available 49593

Includes bibliographical references.


Part I: Image Processing.- Two-stage Geometric Information Guided Image Processing (J. Qin and W. Guo).- Image Edge Sharpening via Heaviside Substitution and Structure Recovery (L. Deng, W. Guo, and T. Huang).- Two-step Blind Deconvolution of UPC-A Barcode Images (B. Kim and Y. Lou).- Part II: Shape and Geometry.- An Anisotropic Local Method for Boundary Detection in Images (M. Lund, M. Howard, D. Wu, R. S. Crum, D. J. Miller, and M. C. Akin).- Towards Learning Geometric Shape Parts (A. Fondevilla, G. Morin, and K. Leonard).- Machine Learning in LiDAR 3D Point Clouds (F. P. Medina and R. Paffenroth).- Part III: Machine Learning.- Fitting Small Piece-wise Linear Neural Network Models to Interpolate Data Sets (L. Ness).- On Large-Scale Dynamic Topic Modelling with Nonnegative CP Tensor Decomposition (M. Ahn, N. Eikmeier, J. Haddock, L. Kassab, A. Kryshchenko, K. Leonard, D. Needell, R. W. M. A. Madushani, E. Sizikova, and C. Wang).- A Simple Recovery Framework for Signals with Time-Varying Sparse Support (N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, and J. Qin).- Part IV: Data Analysis.- Role Detection and Prediction in Dynamic Political Networks (E. Evans, W. Guo, A. Genctav, S. Tari, C. Domeniconi, A. Murillo, J. Chuang, L. AlSumait, P. Mani, and N. Youssry).- Classifying Sleep States Using Persistent Homology and Markov Chains: A Pilot Study (S. Tymochko, K. Singhal, and G. Heo).- A Survey of Statistical Learning Techniques as Applied to Inexpensive Pediatric Obstructive Sleep Apnea Data (E. T. Winn, M. Vazquez, P. Loliencar, K. Taipale, X. Wang, and G. Heo).- Nonparametric Estimation of Blood Alcohol Concentration from Transdermal Alcohol Measurements Using Alcohol Biosensor Devices (A. Kryshchenko, M. Sirlanci, and B. Vader).

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals.

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