Daniel M. Steinberg

Towards autonomous habitat classification using Gaussian Mixture Models

Stefan B. Williams, Oscar Pizarro, Michael V. Jakuba, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Extended and Unscented Kitchen Sinks

Edwin V. Bonilla, Alistair Reid, Daniel M. Steinberg, 2016, ICML.

Toward automatic classification of chemical sensor data from autonomous underwater vehicles

Stefan B. Williams, Dana R. Yoerger, Oscar Pizarro, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Monitoring of Benthic Reference Sites: Using an Autonomous Underwater Vehicle

Stefan B. Williams, Oscar Pizarro, Michael V. Jakuba, 2012, IEEE Robotics & Automation Magazine.

Hierarchical Bayesian models for unsupervised scene understanding

Stefan B. Williams, Oscar Pizarro, Daniel M. Steinberg, 2015, Comput. Vis. Image Underst..

Reflections on a decade of autonomous underwater vehicles operations for marine survey at the Australian Centre for Field Robotics

Stefan B. Williams, Oscar Pizarro, Mitch Bryson, 2016, Annu. Rev. Control..

Active learning using a Variational Dirichlet Process model for pre-clustering and classification of underwater stereo imagery

Stefan B. Williams, Oscar Pizarro, Ariell Friedman, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Extended and Unscented Gaussian Processes

Edwin V. Bonilla, Daniel M. Steinberg, D. Steinberg, 2014, NIPS.

Synergistic Clustering of Image and Segment Descriptors for Unsupervised Scene Understanding

Stefan B. Williams, Oscar Pizarro, Daniel M. Steinberg, 2013, 2013 IEEE International Conference on Computer Vision.

Dirichlet process mixture models for autonomous habitat classification

Stefan B. Williams, Michael V. Jakuba, Oscar Pizarro, 2010, OCEANS'10 IEEE SYDNEY.

A Bayesian Nonparametric Approach to Clustering Data from Underwater Robotic Surveys

Stefan B. Williams, Oscar Pizarro, Ariell Friedman, 2011 .