Katerine Díaz-Chito

According to our database, Katerine Díaz-Chito authored at least 20 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images.

Debora Gil, Katerine Díaz-Chito, Carles Sánchez, Aura Hernández-Sabaté

CoRR, 2020

2019

Feature Extraction by Using Dual-Generalized Discriminative Common Vectors.

Katerine Díaz-Chito, Jesús Martínez del Rincón, Marçal Rusiñol, Aura Hernández-Sabaté

J. Math. Imaging Vis., 2019

Selection of Radiomics Features based on their Reproducibility.

Marta Ligero, Guillermo Torres, Carles Sánchez, Katerine Díaz-Chito, Raquel Perez, Debora Gil

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Augmented songbook: an augmented reality educational application for raising music awareness.

Marçal Rusiñol, Joseph Chazalon, Katerine Díaz-Chito

Multim. Tools Appl., 2018

An overview of incremental feature extraction methods based on linear subspaces.

Katerine Díaz-Chito, Francesc J. Ferri, Aura Hernández-Sabaté

Knowl. Based Syst., 2018

Fast Kernel Generalized Discriminative Common Vectors for Feature Extraction.

Katerine Díaz-Chito, Jesús Martínez del Rincón, Aura Hernández-Sabaté, Marçal Rusiñol, Francesc J. Ferri

J. Math. Imaging Vis., 2018

Continuous Head Pose Estimation Using Manifold Subspace Embedding and Multivariate Regression.

Katerine Díaz-Chito, Jesús Martínez del Rincón, Aura Hernández-Sabaté, Debora Gil

IEEE Access, 2018

2017

Decremental generalized discriminative common vectors applied to images classification.

Katerine Díaz-Chito, Jesús Martínez del Rincón, Aura Hernández-Sabaté

Knowl. Based Syst., 2017

2016

DrivFace.

Aura Hernández-Sabaté, Antonio M. López, Katerine Díaz-Chito

Dataset, May, 2016

A reduced feature set for driver head pose estimation.

Katerine Díaz-Chito, Aura Hernández-Sabaté, Antonio M. López

Appl. Soft Comput., 2016

LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode.

Saad Minhas, Aura Hernández-Sabaté, Shoaib Ehsan, Katerine Díaz-Chito, Ales Leonardis, Antonio M. López, Klaus D. McDonald-Maier

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Incremental Generalized Discriminative Common Vectors for Image Classification.

Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva

IEEE Trans. Neural Networks Learn. Syst., 2015

2013

Reverse engineering expert visual observations: From fixations to the learning of spatial filters with a neural-gas algorithm.

James S. Cope, Paolo Remagnino, S. Mannan, Katerine Díaz-Chito, Francesc J. Ferri, Paul Wilkin

Expert Syst. Appl., 2013

Fast Approximated Discriminative Common Vectors Using Rank-One SVD Updates.

Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2011

Null Space Based Image Recognition Using Incremental Eigendecomposition.

Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010

Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors.

Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva

Proceedings of the ICDMW 2010, 2010

Image Recognition through Incremental Discriminative Common Vectors.

Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

2009

Feature Extraction by means of Rough Discriminative Common Vectors with Kernels.

Katerine Díaz-Chito, Francesc Josep Ferri Rabasa, Wladimiro Díaz Villanueva

Inteligencia Artif., 2009

2008

An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions.

Katerine Díaz-Chito, Francesc J. Ferri, Wladimiro Díaz Villanueva

Proceedings of the Structural, 2008

Using subspace-based learning methods for medical drug design and characterization.

Francesc J. Ferri, Katerine Díaz-Chito, Wladimiro Díaz Villanueva

Proceedings of the IEEE International Conference on Systems, 2008