Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
▶ People 
 CNLS Staff Members 
 Executive Committee 
 Postdocs 
 Visitors 
 Students 
 Research 
 Publications 
▶ Conferences 
 Workshops 
 Sponsorship 
▶ Talks 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 Quantum Lunch Archive 
 P/T Colloquia 
 Archive 
 Ulam Scholar 
 Anastasio Fellow 
 Fellow Program 
 
▶ Student Requests      
 Student Program 
▶ Visitor Requests 
 Description 
 Past Visitors 
▶ Services 
 General 
 
 History of CNLS 
 
 Maps, Directions 
 T-Division 
 LANL 
 
Tuesday, November 19, 2019
09:30 AM - 10:30 AM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

Machine Learning for Anomaly Detection in Multi-Dimensional Data

Stanley Rotman
Ben-Gurion University of the Negev

Multi-dimensional signals, such as Hyperspectral or Temporal Synthetic Aperture Radar, have very complicated distributions; machine learning promises to be a reasonable approach to determining structure in the data without any prior assumptions. In this talk, we will consider Non-Negative Matrix Factorization (NNMF) as a method to both determine trends in the data and to significantly reduce the number of redundant dimensions. We will use this transformed data for advanced anomaly detection.