Kittipat "Bot" Kampa
Kittipat "Bot" Kampa
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Title
Cited by
Cited by
Year
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
722011
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
342004
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
322014
Sparse optimization in feature selection: application in neuroimaging
K Kampa, S Mehta, CA Chou, WA Chaovalitwongse, TJ Grabowski
Journal of Global Optimization 59 (2-3), 439-457, 2014
272014
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
142012
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
132010
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
132008
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
102011
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
102010
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
92005
Information-theoretic based feature selection for multi-voxel pattern analysis of fMRI data
CA Chou, SH Mehta, RF Tungaraza, WA Chaovalitwongse, TJ Grabowski
International Conference on Brain Informatics, 196-208, 2012
82012
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
82007
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
32012
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
32011
Dynamic trees for sensor fusion
K Kampa, KC Slatton, JT Cobb
2009 IEEE International Conference on Systems, Man and Cybernetics, 2751-2756, 2009
32009
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
12012
Using Bayesian networks to estimate missing airborne laser swath mapping (ALSM) data
JT Cobb, K Kampa, KC Slatton
Automatic Target Recognition XVI 6234, 623404, 2006
12006
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
12004
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
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Articles 1–20