Closed-form Cauchy-Schwarz PDF divergence for mixture of Gaussians K Kampa, E Hasanbelliu, JC Principe The 2011 International Joint Conference on Neural Networks, 2578-2585, 2011 | 107 | 2011 |
Voxel Selection Framework in Multi-Voxel Pattern Analysis of fMRI Data for Prediction of Neural Response to Visual Stimuli C Chou, K Kampa, S Mehta, R Tungaraza, W Chaovalitwongse, ... Medical Imaging, IEEE Transactions on, 1-1, 2014 | 41 | 2014 |
Sparse optimization in feature selection: application in neuroimaging K Kampa, S Mehta, CA Chou, WA Chaovalitwongse, TJ Grabowski Journal of Global Optimization 59, 439-457, 2014 | 39 | 2014 |
An adaptive multiscale filter for segmenting vegetation in ALSM data K Kampa, KC Slatton IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium …, 2004 | 35 | 2004 |
Hurricane response of nearshore borrow pits from airborne bathymetric lidar AB Kennedy, KC Slatton, M Starek, K Kampa, HC Cho Journal of waterway, port, coastal, and ocean engineering 136 (1), 46-58, 2010 | 17 | 2010 |
Online learning using a Bayesian surprise metric E Hasanbelliu, K Kampa, JC Principe, JT Cobb The 2012 international joint conference on neural networks (IJCNN), 1-8, 2012 | 16 | 2012 |
Ephemeral sand waves in the hurricane surf zone AB Kennedy, KC Slatton, TJ Hsu, MJ Starek, K Kampa Marine Geology 250 (3-4), 276-280, 2008 | 16 | 2008 |
Irregular tree-structured bayesian network for image segmentation K Kampa, D Putthividhya, JC Principe 2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011 | 11 | 2011 |
Dynamic factor graphs: A novel framework for multiple features data fusion K Kampa, JC Principe, KC Slatton 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 11 | 2010 |
Morphological segmentation of lidar digital elevation models to extract stream channels in forested terrain H Cho, K Kampa, KC Slatton 2007 IEEE International Geoscience and Remote Sensing Symposium, 3182-3185, 2007 | 10 | 2007 |
Information-theoretic based feature selection for multi-voxel pattern analysis of fMRI data CA Chou, KB Kampa, SH Mehta, RF Tungaraza, WA Chaovalitwongse, ... Brain Informatics: International Conference, BI 2012, Macau, China, December …, 2012 | 9 | 2012 |
Segmentation of ALSM point data and the prediction of subcanopy sunlight distribution H Lee, K Kampa, KC Slatton Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium …, 2005 | 8 | 2005 |
Deformable Bayesian network: A robust framework for underwater sensor fusion K Kampa, E Hasanbelliu, JT Cobb, JC Principe, KC Slatton IEEE Journal of Oceanic Engineering 37 (2), 166-184, 2012 | 6 | 2012 |
Bayesian surprise metric for outlier detection in on-line learning E Hasanbelliu, K Kampa, JT Cobb, JC Príncipe Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI …, 2011 | 3 | 2011 |
Dynamic trees for sensor fusion K Kampa, KC Slatton, JT Cobb 2009 IEEE International Conference on Systems, Man and Cybernetics, 2751-2756, 2009 | 2 | 2009 |
Data-driven tree-structured Bayesian network for image segmentation K Kampa, JC Principe, D Putthividhya, A Rangarajan 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 1 | 2012 |
Using Bayesian networks to estimate missing airborne laser swath mapping (ALSM) data JT Cobb, K Kampa, KC Slatton Automatic Target Recognition XVI 6234, 24-34, 2006 | 1 | 2006 |
Estimating Leaf Area Index in Forests Using Airborne Laser Swath Mapping Data KC Slatton, K Kampa, H Lee AGU Fall Meeting Abstracts 2004, H13C-0445, 2004 | 1 | 2004 |
Deformable Bayesian networks for data clustering and fusion K Kampa, JC Principe, JT Cobb, A Rangarajan Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI …, 2011 | | 2011 |
Structured graphical models for unsupervised image segmentation K Kampa University of Florida, 2011 | | 2011 |