Machine Intelligence and Signal Processing

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.

Richa Singh received her M.S. and Ph.D. degrees in computer science in 2005 and 2008, respectively from the West Virginia University, Morgantown, USA. She is currently an Associate Professor and recipient of the Kusum and Mohandas Pai Faculty Research Fellowship at the Indraprastha Institute of Information Technology (IIIT) Delhi, India. Her research has been funded by the UIDAI and DEITY, Government of India. She is a recipient of the FAST award by DST, India. Her areas of interest are biometrics, pattern recognition, and machine learning. She has more than 150 publications in refereed journals, book chapters, and conferences. She is an editorial board member of the Journal of Information Fusion and EURASIP Journal on Image and Video Processing. She is the PC Co-Chair of International Conference on Biometrics: Theory, Applications and Systems, 2016. Dr. Singh is a member of the IEEE, Computer Society and the Association for Computing Machinery. She is a recipient of several best paper and best poster awards in international conferences. Mayank Vatsa received the M.S. and Ph.D. degrees in computer science in 2005 and 2008, respectively from the West Virginia University, Morgantown, USA. He is currently an Associate Professor and AR Krishnaswamy Faculty Research Fellow at the Indraprastha Institute of Information Technology (IIIT) Delhi, India. He has more than 150 publications in refereed journals, book chapters, and conferences. His research has been funded by the UIDAI and DEITY, Government of India. He is a recipient of the FAST award by DST, India. His areas of interest are biometrics, image processing, computer vision, and information fusion. Dr. Vatsa is a member of the IEEE, Computer Society and the Association for Computing Machinery. He is the recipient of several best paper and best poster awards in international conferences. He is also an associate editor of IEEE Access, area editor of Information Fusion, and IEEE Biometric Compendium, and served as the