Ivica Kopriva
Ivica Kopriva
Senior scientist, Ruđer Bošković Institute, Croatia
Verified email at - Homepage
Cited by
Cited by
Kernel based algorithms for mining huge data sets
TM Huang, V Kecman, I Kopriva
Springer, 2006
Multi-view low-rank sparse subspace clustering
M Brbić, I Kopriva
Pattern Recognition 73, 247-258, 2018
Random walk and graph cut for co-segmentation of lung tumor on PET-CT images
W Ju, D Xiang, B Zhang, L Wang, I Kopriva, X Chen
IEEE Transactions on Image Processing 24 (12), 5854-5867, 2015
-Motivated Low-Rank Sparse Subspace Clustering
M Brbić, I Kopriva
IEEE transactions on cybernetics 50 (4), 1711-1725, 2018
Independent-component analysis for hyperspectral remote sensing imagery classification
Q Du, I Kopriva, H Szu
Optical Engineering 45 (1), 017008-017008-13, 2006
A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering
D Tolić, N Antulov-Fantulin, I Kopriva
Pattern Recognition 82, 40-55, 2018
Automated target detection and discrimination using constrained kurtosis maximization
Q Du, I Kopriva
IEEE Geoscience and Remote Sensing Letters 5 (1), 38-42, 2008
Nonlinear blind demixing of single pixel underlying radiation sources and digital spectrum local thermometer
HH Szu, JR Buss, I Kopriva
US Patent 7,366,564, 2008
Wavelet packets approach to blind separation of statistically dependent sources
I Kopriva, D Seršić
Neurocomputing 71 (7-9), 1642-1655, 2008
Design and implementation of a hardware-in-the-loop simulator for a semi-automatic guided missile system
K Ćosić, I Kopriva, T Kostić, M Slamić, M Volarević
Simulation Practice and Theory 7 (2), 107-123, 1999
Sparse coding blind source separation through powerline
H Szu, P Chanyagorn, I Kopriva
Neurocomputing 48 (1-4), 1015-1020, 2002
An adaptive short-time frequency domain algorithm for blind separation of nonstationary convolved mixtures
I Kopriva, Z Devcic, H Szu
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
Enhanced low-rank+ sparsity decomposition for speckle reduction in optical coherence tomography
I Kopriva, F Shi, X Chen
Journal of biomedical optics 21 (7), 076008-076008, 2016
Early tumor detection by multiple infrared unsupervised neural nets fusion
H Szu, I Kopriva, P Hoekstra, N Diakides, M Diakides, J Buss, J Lupo
Proceedings of the 25th Annual International Conference of the IEEE …, 2003
Independent component analysis approach to image sharpening in the presence of atmospheric turbulence
I Kopriva, Q Du, H Szu, W Wasylkiwskyj
Optics Communications 233 (1-3), 7-14, 2004
Independent component analysis approach to resolve the multi-source limitation of the nutating rising-sun reticle based optical trackers
HH Szu, I Kopriva, A Peršin
Optics Communications 176 (1-3), 77-89, 2000
Artificial neural networks for noisy image super-resolution
H Szu, I Kopriva
Optics Communications 198 (1-3), 71-81, 2001
Approach to blind image deconvolution by multiscale subband decomposition and independent component analysis
I Kopriva
JOSA A 24 (4), 973-983, 2007
Extraction of multiple pure component 1H and 13C NMR spectra from two mixtures: Novel solution obtained by sparse component analysis-based blind decomposition
I Kopriva, I Jerić, V Smrečki
Analytica chimica acta 653 (2), 143-153, 2009
Unsupervised decomposition of low-intensity low-dimensional multi-spectral fluorescent images for tumour demarcation
I Kopriva, A Peršin
Medical Image Analysis 13 (3), 507-518, 2009
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