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...
| Other Authors: | Singh, Richa,, Vatsa, Mayank,, Majumdar, Angshul,, Kumar, Ajay,, SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
New Delhi ; New York :
Springer,
[2016]
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| Physical Description: |
1 online resource : illustrations. |
| Series: |
Advances in intelligent systems and computing ;
390. |
| Subjects: |
Table of Contents:
- 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.