tatianagelvez.com https://validator.w3.org/feed/docs/rss2.html 68-# 1168 SPARSE PORTFOLIOS FOR HIGH-DIMENSIONAL FINANCIAL INDEX TRACKING WITH LOW-RANK MATRIX CONSTRAINT FOR STOCKS Blog Publications back About me Correlation Matrix Estimation from Compressed Measurements in a Pattern Recognition System Supervised Classification of Histopathological Images Using Convolutional Neuronal Networks for Gastric Cancer Detection Home Prueba1 Boolean Approximation of a Phase-Coded Aperture Diffraction Pattern System for X-ray Crystallography Resume Contact Ultrasound Imaging for Medical and Industrial Applications High resolution Image reconstruction for Passive Ultrasound Imaging of Cavitation Low-Cost Multispectral Computational-Optical System in the Near Infrared for the Estimation of Physical-Chemical Properties of Dry Cocoa Beans Using Deep Learning New Computational Technologies for the Design of 3D Seismic Acquisition Geometries with Compressive Sampling for the Reduction of Economic Costs and Environmental Impacts in Hydrocarbon Exploration in Colombian Onshore Basins Prueba project Recovering spectral images from compressive measurements using designed coded apertures and Matrix Completion Theory Main Seismic Shot Recovery via Low-Rank Tensor Modeling on the Cross-Spread Domain Publications Reconstrucción de imágenes espectrales desde medidas compresas usando aperturas codificadas diseñadas y la teoría de estimación de elementos de matrices incompletas Rotation Invariant Deep Learning Approach for Image Inpainting Interpretable Multiple Loss Functions in A Low-Rank Deep Image Prior Based Method For Single Hyperspectral Image Super-Resolution Mixture-Net: Low-Rank Deep Image Prior Inspired by Mixture Models for Spectral Image Recovery Robust Compressive Spectral Image Recovery Algorithm Using Dictionary Learning and Transform Tensor SVD Joint sparse and low rank recovery algorithm for compressive hyperspectral imaging Deep coded aperture design Nonlocal Low-Rank Abundance Prior for Compressive Spectral Image Fusion Joint Nonlocal, Spectral, and Similarity Low-Rank Priors for Hyperspectral–Multispectral Image Fusion Interpretable Deep Image Prior Method Inspired In Linear Mixture Model For Compressed Spectral Image Recovery Spectral Image Fusion from Compressive Projections Using Total-Variation and Low-Rank Regularizations Simultaneously sparse and low-rank hyperspectral image recovery from coded aperture compressive measurements via convex optimization Seismic Source Recovery Algorithm via Internal Learning in the Cross-spread Domain Hyperspectral-Multispectral Image Fusion with Rank Estimation by using a Joint-sparse Regularizer Transmittance Regularizer for Binary coded Aperture Design in a Computational Imaging end-to-end Approach Coded aperture design for hyper-spectral image recovery via Matrix Completion Invariant Coded Aperture Design for Compressive Imaging Sample Page Projects