Michael J. Turmon
According to our database1, Michael J. Turmon authored at least 16 papers between 1994 and 2016.
Legend:Book In proceedings Article PhD thesis Other
Real-time data mining of massive data streams from synoptic sky surveys.
Future Generation Comp. Syst., 2016
Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys.
Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys.
Proceedings of the 10th IEEE International Conference on e-Science, 2014
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets.
Feature selection strategies for classifying high dimensional astronomical data sets.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013
Flashes in a star stream: Automated classification of astronomical transient events.
Proceedings of the 8th IEEE International Conference on E-Science, 2012
Towards an Automated Classification of Transient Events in Synoptic Sky Surveys.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011
Autonomous off-road navigation with end-to-end learning for the LAGR program.
J. Field Robotics, 2009
Learning long-range terrain classification for autonomous navigation.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
Towards learned traversability for robot navigation: From underfoot to the far field.
J. Field Robotics, 2006
Tests and Tolerances for High-Performance Software-Implemented Fault Detection.
IEEE Trans. Computers, 2003
Software-Implemented Fault Detection for High-Performance Space Applications.
Proceedings of the 2000 International Conference on Dependable Systems and Networks (DSN 2000) (formerly FTCS-30 and DCCA-8), 2000
Bayesian Inference for Identifying Solar Active Regions.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
Recognizing chromospheric objects via Markov chain Monte Carlo.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
Maximum-likelihood estimation of complex sinusoids and Toeplitz covariances.
IEEE Trans. Signal Processing, 1994
Sample Size Requirements for Feedforward Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994