David M. Johnson

Publication Activity (10 Years)

Years Active: 2012-2017
Publications (10 Years): 2

Top Topics

Metric Learning

Top Venues

AAAI (Late-Breaking Developments)

Publications

Caiming Xiong, David M. Johnson, Jason J. Corso
Active Clustering with Model-Based Uncertainty Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 39 (1) (2017)
David M. Johnson, Caiming Xiong, Jason J. Corso
Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies. IEEE Trans. Knowl. Data Eng. 28 (4) (2016)
David M. Johnson, Caiming Xiong, Jason J. Corso
Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies. CoRR (2014)
Caiming Xiong, David M. Johnson, Jason J. Corso
Active Clustering with Model-Based Uncertainty Reduction. CoRR (2014)
Caiming Xiong, Wei Chen, Gang Chen, David M. Johnson, Jason J. Corso
Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes. SDM (2014)
David M. Johnson, Caiming Xiong, Jing Gao, Jason J. Corso
Comprehensive Cross-Hierarchy Cluster Agreement Evaluation. AAAI (Late-Breaking Developments) (2013)
Neil Coffee, James O. Gawley, Christopher W. Forstall, Walter J. Scheirer, David M. Johnson, Jason J. Corso, Brian C. Parks
Modelling the Interpretation of Literary Allusion with Machine Learning Techniques. DH (2013)
Caiming Xiong, David M. Johnson, Jason J. Corso
Uncertainty Reduction for Active Image Clustering via a Hybrid Global-Local Uncertainty Model. AAAI (Late-Breaking Developments) (2013)
Caiming Xiong, David M. Johnson, Ran Xu, Jason J. Corso
Random forests for metric learning with implicit pairwise position dependence. KDD (2012)
Caiming Xiong, David M. Johnson, Ran Xu, Jason J. Corso
Random Forests for Metric Learning with Implicit Pairwise Position Dependence CoRR (2012)