Roummel F. Marcia
Orcid: 0000-0001-6838-140XAffiliations:
- University of California, Merced, USA
According to our database1,
Roummel F. Marcia
authored at least 87 papers
between 2004 and 2023.
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Bibliography
2023
Genetic Variant Detection Over Generations: Sparsity-Constrained Optimization Using Block-Coordinate Descent.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023
Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images.
Proceedings of the International Conference on Machine Learning and Applications, 2023
CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering.
Proceedings of the IEEE International Conference on Image Processing, 2023
Negative Binomial Optimization for Low-Count Overdispersed Sparse Signal Reconstruction.
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
2022
ACM Trans. Math. Softw., December, 2022
Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation.
SIAM J. Sci. Comput., 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Proceedings of the 29th European Signal Processing Conference, 2021
Data-Limited Deep Learning Methods for Mild Cognitive Impairment Classification in Alzheimer's Disease Patients.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Novel structural variant genome detection in extended pedigrees through negative binomial optimization.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Convolution Padding in Recurrent Neural Networks for Image Denoising with Limited Data.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
SIAM J. Matrix Anal. Appl., 2020
Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations.
Optim. Methods Softw., 2020
Proceedings of the International Symposium on Information Theory and Its Applications, 2020
Image Classification in Synthetic Aperture Radar Using Reconstruction from Learned Inverse Scattering.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints.
Comput. Optim. Appl., 2019
Comput. Optim. Appl., 2019
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Numer. Linear Algebra Appl., 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Negative Binomial Optimization for Biomedical Structural Variant Signal Reconstruction.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques.
Proceedings of the 26th European Signal Processing Conference, 2018
Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Nonconvex Regularization-Based Sparse Recovery and Demixing With Application to Color Image Inpainting.
IEEE Access, 2017
Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications, 2017
Proceedings of the 2017 IEEE International Symposium on Medical Measurements and Applications, 2017
Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016
Nonconvex sparse poisson intensity reconstruction for time-dependent bioluminescence tomography.
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Analysis of p-norm regularized subproblem minimization for sparse photon-limited image recovery.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Sparse signal recovery methods for variant detection in next-generation sequencing data.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Sparse reconstruction for fluorescence lifetime imaging microscopy with poisson noise.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
SIAM J. Matrix Anal. Appl., 2015
Nonconvex reconstruction for low-dimensional fluorescence molecular tomographic poisson observations.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
p-th Power total variation regularization in photon-limited imaging via iterative reweighting.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Algorithm 943: MSS: MATLAB Software for L-BFGS Trust-Region Subproblems for Large-Scale Optimization.
ACM Trans. Math. Softw., 2014
2013
CoRR, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2012
IEEE Trans. Inf. Theory, 2012
This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms - Theory and Practice.
IEEE Trans. Image Process., 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
IEEE Trans. Signal Process., 2011
A backward stability analysis of diagonal pivoting methods for solving unsymmetric tridiagonal systems without interchanges.
Numer. Linear Algebra Appl., 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
IEEE Trans. Signal Process., 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the International Conference on Image Processing, 2010
Gradient projection for linearly constrained convex optimization in sparse signal recovery.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the Computational Imaging VIII, 2010
2009
CoRR, 2009
Sequential probability assignment via online convex programming using exponential families.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Proceedings of the Computational Imaging VII, 2009
2008
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the 2008 16th European Signal Processing Conference, 2008
2007
Global optimization in protein docking using clustering, underestimation and semidefinite programming.
Optim. Methods Softw., 2007
2006
Numer. Linear Algebra Appl., 2006
2005
Numer. Linear Algebra Appl., 2005
Comput. Optim. Appl., 2005
2004