Approximate Nearest Neighbor (ANN) search is a fundamental algorithmic problem, with numerous applications in many areas of computer science. In this work, we propose indexable distance estimating codes (iDEC), a new solution framework to ANN that extends and improves the locality sensitive hashing (LSH) framework in a fundamental and systematic way. Read more “iDEC: Indexable Distance Estimating Codes for Approximate Nearest Neighbor Search”
Dr. Mitsunori Ogihara joined the University of Miami in 2007 as Professor in the Department of Computer Science and as Program Director of the Big Data Analytics & Data Mining Program within the Center for Computational Science. More recently, he was appointed Associate Dean for Digital Library Innovation in the College of Arts and Sciences.