Ivica Kopriva

Orcid: 0000-0002-8610-8877

According to our database1, Ivica Kopriva authored at least 59 papers between 1992 and 2024.

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Bibliography

2024
Robust Kernel Sparse Subspace Clustering.
CoRR, 2024

Multilayer Graph Approach to Deep Subspace Clustering.
CoRR, 2024

2022
LEFM-Nets: Learnable Explicit Feature Map Deep Networks for Segmentation of Histopathological Images of Frozen Sections.
CoRR, 2022

Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver.
CoRR, 2022

2021
A dataset and a methodology for intraoperative computer-aided diagnosis of a metastatic colon cancer in a liver.
Biomed. Signal Process. Control., 2021

Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

2020
ℓ<sub>0</sub>-Motivated Low-Rank Sparse Subspace Clustering.
IEEE Trans. Cybern., 2020

Low Tensor Train- and Low Multilinear Rank Approximations for De-speckling and Compression of 3D Optical Coherence Tomography Images.
CoRR, 2020

Robust Self-Supervised Convolutional Neural Network for Subspace Clustering and Classification.
CoRR, 2020

Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT images.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Transfer learning approach for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from hematoxylin-eosin stained specimens.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimens.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

L0-Motivated Low Rank Sparse Subspace Clustering for Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Hyperspectral imaging for intraoperative diagnosis of colon cancer metastasis in a liver.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019

Orthogonal Graph-regularized Non-negative Matrix Factorization for Hyperspectral Image Clustering.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering.
Pattern Recognit., 2018

Multi-view low-rank sparse subspace clustering.
Pattern Recognit., 2018

Kernel Spatial-Spectral Based Multi-View Low-Rank Sparse Sbuspace Clustering for Hyperspectral Imagery.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Spatial-spectral Based Multi-view Low-rank Sparse Sbuspace Clustering for Hyperspectral Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Joint Nonnegative Matrix Factorization for Underdetermined Blind Source Separation in Nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images.
IEEE J. Biomed. Health Informatics, 2017

Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

Tensor-based offset-sparsity decomposition for hyperspectral image classification.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Correction to "Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images".
IEEE Trans. Image Process., 2016

Offset-sparsity decomposition for enhancement of color microscopic image of stained specimen in histopathology: further results.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Multispectral image enhancement with extended offset-sparsity decomposition.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images.
IEEE Trans. Image Process., 2015

A steerable filter bank approach to endmembers estimation in imaging spectroscopy.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Nonlinear Sparse Component Analysis with a Reference: Variable Selection in Genomics and Proteomics.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A Nonlinear Mixture Model based Unsupervised Variable Selection in Genomics and Proteomics.
Proceedings of the BIOINFORMATICS 2015, 2015

2014
Error Analysis of low-rank three-way tensor factorization approach to blind source separation.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image.
Biomed. Signal Process. Control., 2013

Sparseness constrained nonnegative matrix factorization for unsupervised 3D segmentation of multichannel images: demonstration on multispectral magnetic resonance image of the brain.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Inpainting color images in learned dictionary.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levels.
BMC Bioinform., 2011

Nonlinear band expansion and nonnegative matrix underapproximation for unsupervised segmentation of a liver from a multi-phase CT image.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Tensor factorization and continous wavelet transform for model-free single-frame blind image deconvolution.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

2010
3D tensor-based blind multispectral image decomposition for tumor demarcation.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Second and fourth order statistics-based reduced polynomial rooting direction finding algorithms.
Signal Process., 2009

Unsupervised decomposition of low-intensity low-dimensional multi-spectral fluorescent images for tumour demarcation.
Medical Image Anal., 2009

Dependent component analysis for blind restoration of images degraded by turbulent atmosphere.
Neurocomputing, 2009

Dependent component analysis based approach to robust demarcation of skin tumors.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

2008
Automated Target Detection and Discrimination Using Constrained Kurtosis Maximization.
IEEE Geosci. Remote. Sens. Lett., 2008

Wavelet packets approach to blind separation of statistically dependent sources.
Neurocomputing, 2008

2007
Robust Blind Separation of Statistically Dependent Sources using Dual Tree Wavelets.
Proceedings of the International Conference on Image Processing, 2007

Blind Signal Deconvolution as an Instantaneous Blind Separation of Statistically Dependent Sources.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning.
Studies in Computational Intelligence 17, Springer, ISBN: 978-3-540-31681-7, 2006

Non-negative Matrix Factorization Approach to Blind Image Deconvolution.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Unsupervised learning with stochastic gradient.
Neurocomputing, 2005

Investigation on constrained matrix factorization for hyperspectral image analysis.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

2004
Independent Component Analysis for Classifying Multispectral Images with Dimensionality Limitation.
Int. J. Inf. Acquis., 2004

Space-Time Variant Blind Source Separation with Additive Noise.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2002
Sparse coding blind source separation through Powerl.
Neurocomputing, 2002

1999
Design and implementation of a hardware-in-the-loop simulator for a semi-automatic guided missile system.
Simul. Pract. Theory, 1999

1998
Adaptive blind separation of convolved sources based on minimization of the generalized instantaneous energy.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
A methodology for digital real time simulation of dynamic systems using modern DSPs.
Simul. Pract. Theory, 1997

1992
Workstation for integrated system design and development.
Simul., 1992


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