Advances in Data Science
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. The contri...
| Otros Autores: | , , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing
2021.
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| Edición: | 1st ed |
| Colección: | Springer eBooks.
Association for Women in Mathematics series ; 26. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b45942766*spi |
Tabla de Contenidos:
- 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).
