Machine Intelligence and Signal Processing

This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and mac...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Singh, Richa (Editor ), Vatsa, Mayank (Editor ), Majumdar, Angshul (Editor ), Kumar, Ajay (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New Delhi : Springer India : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Advances in Intelligent Systems and Computing, 390
Temas:
Computational intelligence.
Signal processing.
Image processing-Digital techniques.
Computer vision.
Computational Intelligence.
Signal, Speech and Image Processing .
Computer Imaging, Vision, Pattern Recognition and Graphics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Chapter 1. Advancing Cross-spectral Iris Recognition Research using Bi-spectral Imaging
  • Chapter 2. Fast 3D Salient Region Detection in Medical Images using GPUs
  • Chapter 3. Recovering Partially Sampled EEG Signals using Learned Dictionaries
  • Chapter 4. Greedy Algorithms for Non-linear Sparse Recovery
  • Chapter 5. Improving Rating Predictions by Baseline Estimation and Single Pass Low-rank Approximation
  • Chapter 6. Reducing Inter-scanner Variability in Multi-site fMRI Activations using Correction Functions: A Preliminary Study
  • Chapter 7. Genetically Modified Logistic Regression with Radial Basis Function for Robust Software Effort Prediction
  • Chapter 8. Missing Data Interpolation using Compressive Sensing: An Application for Sales Data Gathering
  • Chapter 9. Retinal Vessel Classification based on Maximization of Squared-loss Mutual Information
  • Chapter 10. Retinal Blood Vessel Extraction and Optic Disc Removal using Curvelet Transform and Morphological Operation
  • Chapter 11. Adaptive Skin Color Model to Improve Video Face Detection
  • Chapter 12. Automated Spam Detection in Short Text Messages
  • Chapter 13. Domain Adaptation for Face Detection
  • Chapter 14. Comparative Study of Pre-processing and Classification Methods in Character Recognition of Natural Scene Images.

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