Dissertation

  • An Effective and Robust Method for Active Constrained Clustering
    E. Kriminger
    University of Florida dissertation, Fall 2015

Journal

  • Constrained clustering under uncertainty
    E. Kriminger, J. Cobb, and J. Principe
    Journal of Machine Learning Research (JMLR), (submitted)

  • Active hierarchical clustering without must-link constraints
    E. Kriminger, J. Cobb, and J. Principe
    IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), (submitted)

  • Online active learning for automatic target recognition
    E. Kriminger, J. Cobb, and J. Principe
    IEEE Journal of Oceanic Engineering, 40(3), 2014.

  • Reinforcement learning in video games using nearest neighbor interpolation and metric learning
    M. Emigh, E. Kriminger, A. Brockmeier, and J.Principe
    IEEE Trans. on Computational Intelligence and AI in Games, (accepted)

  • Neural decoding with kernel-based metric learning
    A. Brockmeier, J. Choi, E. Kriminger, J. Francis, and J.Principe
    Neural Computation, 26(6), 2014.

Conference

  • A model based approach to exploration of continuous-state MDPs using divergence-to-go
    M. Emigh, E. Kriminger, and J. Principe
    IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), September 2015

  • Linear discriminant analysis with an information divergence criterion
    M. Emigh, E. Kriminger, and J. Principe
    Int. Joint Conf. on Neural Networks (IJCNN), October 2013
    Best student poster award

  • Metric learning for invariant feature generation in reinforcement learning PDF
    E. Kriminger, A. Brockmeier, L. Sanchez-Giraldo, and J. Principe
    1st Multidisc. Conf. on Reinforcement Learning and Decision Making (RLDM), October 2013

  • Nearest neighbor distributions for imbalanced classification PDF
    E. Kriminger, C. Lakshminarayan, and J. Principe
    IEEE Int. Joint Conf. on Neural Networks (IJCNN), June 2012

  • One-class classifier based on extreme value statistics PDF
    D. Martinez-Rego, E. Kriminger, J. Príncipe, O. Fontenla-Romero, and A. Alonson-Betanzos
    Euro. Sym. on Artificial Neural Networks, Comp. Int., and Machine Learning, April 2012

  • Mixture of designer experts for multi-regime detection in streaming data PDF
    E. Kriminger, C. Lakshminarayan, and J. Príncipe
    European Signal Processing Conference, August 2012

  • Modified embedding for multi-regime detection in nonstationary streaming data PDF
    E. Kriminger, C. Lakshminarayan, and J. Príncipe
    IEEE Int. Conf. on Acoustic, Speech, and Signal Processing (ICASSP), May 2011

  • Latent state visualization of neural firing rates PDF
    A. Brockmeier, E. Kriminger, J. Sanchez, and J. Príncipe
    5th Int. IEEE/EMBS Conf. on Neural Engineering, April 2011

  • Markov chain model of HomePlug CSMA MAC for determining optimal fixed contention window size PDF
    E. Kriminger and H. Latchman
    IEEE Int. Sym. On Power Line Communications and its Applications, April 2011

  • Local frequency-based estimators for anomaly detection in oil and gas applications PDF
    C. Lakshminarayan, E. Kriminger, and A. Singh-Alvarado
    Joint Statistical Meetings, August 2011

Patents

  • Classifying unclassified samples
    C. Lakshminarayan, E. Kriminger, and J. Principe
    U.S. Patent 20,140,032,450, issued May 19, 2015

  • Anomaly detection in streaming data
    C. Lakshminarayan, A. Singh-Alvarado, J. Principe, and E. Kriminger
    U.S. Patent 20,130,085,715, issued April 4, 2013

  • Detecting regime change in streaming data
    C. Lakshminarayan, E. Kriminger, and J. Principe
    U.S. Patent 20,130,069,786, issued March 21, 2013

  • Multi-regime detection in streaming data
    C. Lakshminarayan, A. Singh-Alvarado, and E. Kriminger
    U.S. Patent 20,130,067,106, issued March 14, 2013