Gary Holness

$$L^{2}$$L2-norm transformation for improving k-means clustering

Piyush Kumar Sharma, Gary Holness, P. Sharma, 2017, International Journal of Data Science and Analytics.

Interactive Learning Using Manifold Geometry

Eric Eaton, Gary Holness, Daniel McFarlane, 2010, AAAI Fall Symposium: Manifold Learning and Its Applications.

A Service Paradigm for Reconfigurable Agents

Roderic A. Grupen, Deepak R. Karuppiah, Gary Holness, 2001 .

Automatic In Situ Identification of Plankton

Allen R. Hanson, Edward M. Riseman, Matthew B. Blaschko, 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

Dilation of Chisini-Jensen-Shannon Divergence

Piyush Kumar Sharma, Gary Holness, P. Sharma, 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data

Gary Holness, Gary Holness, 2007, MLDM.

A Family of Chisini Mean Based Jensen-Shannon Divergence Kernels

Noureddine Melikechi, Piyush Kumar Sharma, Gary Holness, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Software Mode Changes for Continuous Motion Tracking

Edward M. Riseman, Zhigang Zhu, Roderic A. Grupen, 2000, IWSAS.

Erratum to: $$L^{2}$$L2-norm transformation for improving k-means clustering

Piyush Kumar Sharma, Gary Holness, 2017, International Journal of Data Science and Analytics.

Modeling of laser-induced breakdown spectroscopic data analysis by an automatic classifier

Daniela Milovic, David D. Pokrajac, Gary Holness, 2019, International Journal of Data Science and Analytics.

Training Ensembles using Max‐Entropy Error Diversity

Paul E. Utgoff, Gary Holness, 2009 .

Investigating Manifold Neighborhood size for Nonlinear Analysis of LIBS Amino Acid Spectra pdf

Gary Holness, Noureddine Melikechi, Yuri Markushin, 2021, ArXiv.