Research in Data Science

Chapter 1 Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors

Chapter 2 The Hubness Phenomenon in High-Dimensional Spaces

Chapter 3 Heuristic Framework for Multiscale Testing of the Multi-Manifold Hypothesis

Chapter 4 Interdisciplinary Approaches to Automated Obstructive Sleep Apnea Diagnosis Through High-Dimensional Multiple Scaled Data Analysis

Chapter 6 Inference of a Dyadic Measure and Its Simplicial Geometry from Binary Feature Data and Application to Data Quality

Chapter 7 A Non-local Measure for Mesh Saliency via Feature Space Reduction

Chapter 8 Feature Design for Protein Interface Hotspots Using KFC2 and Rosetta

Chapter 9 Geometry-Based Classification for Automated Schizophrenia Diagnosis

Chapter 10 Compressed Anomaly Detection with Multiple Mixed Observations

Chapter 11 Analysis of Simulated Crowd Flow Exit Data: Visualization, Panic Detection and Exit Time Convergence, Attribution, and Estimation

Chapter 12 A Data Driven Modeling of Ornaments