Justine Blackmore
Masters Alumni
Justine's masters thesis focused on growing self-organizing maps, and their application to mapping Cavalli-Sforrza's human gene data. After graduating, he went to work for the Advanced Research Laboratories, the University of Texas at Austin.
Publications
Visualizing High-Dimensional Structure with the Incremental Grid Growing Network 1995
Justine Blackmore, Masters Thesis, Department of Computer Sciences, The University of Texas at Austin. Technical Report AI95-238.
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network 1995
Justine Blackmore and Risto Miikkulainen, In Machine Learning: Proceedings of the 12th Annual Conference, Armand Prieditis and Stuart Russell (Eds.), pp. 55-63, Austin, TX 1995. San Francisco, CA: Morgan Kaufmann. 55-63. Technical Repo...
Incremental Grid Growing: Encoding High-Dimensional Structure Into A Two-Dimensional Feature Map 1993
Justine Blackmore and Risto Miikkulainen, In Proceedings of the IEEE International Conference on Neural Networks (San Francisco, CA), pp. 450-455 1993. Piscataway, NJ: IEEE.
Projects
IGG: Visualization with Incremental Grid Growing 1993 - 1995
Areas of Interest
Applications Unsupervised Learning, Clustering, and Self-Organization
Labs
Formerly affiliated with Neural Networks