David M. Johnson

According to our database, David M. Johnson authored at least 7 papers between 2012 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Active Clustering with Model-Based Uncertainty Reduction.

Caiming Xiong, David M. Johnson, Jason J. Corso

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies.

David M. Johnson, Caiming Xiong, Jason J. Corso

IEEE Trans. Knowl. Data Eng., 2016

2014

Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes.

Caiming Xiong, Wei Chen, Gang Chen, David M. Johnson, Jason J. Corso

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

Modelling the Interpretation of Literary Allusion with Machine Learning Techniques.

Neil Coffee, James O. Gawley, Christopher W. Forstall, Walter J. Scheirer, David M. Johnson, Jason J. Corso, Brian C. Parks

Proceedings of the 8th Annual International Conference of the Alliance of Digital Humanities Organizations, 2013

Uncertainty Reduction for Active Image Clustering via a Hybrid Global-Local Uncertainty Model.

Caiming Xiong, David M. Johnson, Jason J. Corso

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

Comprehensive Cross-Hierarchy Cluster Agreement Evaluation.

David M. Johnson, Caiming Xiong, Jing Gao, Jason J. Corso

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

Random forests for metric learning with implicit pairwise position dependence.

Caiming Xiong, David M. Johnson, Ran Xu, Jason J. Corso

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012