Nina S. T. Hirata

List of publications

2024

L Nakazono, R R Valença, G Soares, R Izbicki, Ž Ivezić, EV R Lima, NS T Hirata, L Sodré Jr, R Overzier, F Almeida-Fernandes, GB Oliveira Schwarz, W Schoenell, A Kanaan, T Ribeiro, C Mendes de Oliveira. The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts. Monthly Notices of the Royal Astronomical Society, 531(1):327--339, 2024

2023

Cristiano Perez Garcia, Weigang Li, Nina S. T. Hirata, and Clovis Neumann. ISUAM: Intelligent and Safe UAM with Deep Reinforcement Learning. In 29th IEEE International Conference on Parallel and Distributed Systems, pp. 378-383, 2023.

VN Ribeiro, NST Hirata. Combining YOLO and Visual Rhythm for Vehicle Counting Anais Estendidos do XXXVI Conference on Graphics, Patterns and Images, 164-167, 2023

GJ Perin, L Nakazono, CM de Oliveira, NST Hirata. Combinaçao de Dados Tabulares e Imagens para a Classificaçao de Objetos Astronômicos. Anais Estendidos do XXXVI Conference on Graphics, Patterns and Images, 160-163, 2023

AT Magalhães, NST Hirata. Spider Species Classification Using Vision Transformers and Convolutional Neural Networks. Anais Estendidos do XXXVI Conference on Graphics, Patterns and Images, 172-175, 2023

N. V. N. Rodrigues, L. R. Abramo, and N. S. T. Hirata. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, 4(4):045019, oct 2023.

A. Morimitsu and N. S. T. Hirata. Toward training networks for plankton image classification in realistic scenarios. In LatinX in Computer Vision (LXCV) at ICCV, 2023.

Nina S. T. Hirata. Layout analysis of document images. In Computer Vision and Pattern Recognition Conference: LatinX in AI (LXAI) Research Workshop, 2023.

M. Espadoto, F.C.M. Rodrigues, N.S.T. Hirata, A.C. Telea, Visualizing High-Dimensional Functions with Dense Maps, SN Computer Science, 4:230, 2023

A.A.A.M. Oliveira, M. Espadoto, R. Hirata, N.S.T. Hirata, A.C. Telea. Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-Labeling Strategies. In: Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2021. Communications in Computer and Information Science, vol 1691. Springer, Cham, 2023.

2022

Nina S. T. Hirata, Alexandre Morimitsu, and Antonio Goulart. Separating particles from plankton images. In Jean-Jacques Rousseau and Bill Kapralos, editors, Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, pages 445–459, Cham, 2023. Springer Nature Switzerland.

Sergio Y. Hayashi and Nina S. T. Hirata. Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. In International Conference on Pattern Recognition (ICPR), pages 1586-1592, 2022.

Junior Barrera, Ronaldo F. Hashimoto, Nina S. T. Hirata, Roberto Hirata Jr., and Marcelo da Silva Reis. From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences, 16:616-657, 2022.

G. F. Fortino, J. C. Zamora, L. E. Tamayose, N. S. T. Hirata, and V. Guimarães. Digital signal analysis based on convolutional neural networks for active target time projection chambers. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1031:166497, 2022.

T.S. Modrakowski, M. Espadoto, A.X. Falcão, N.S.T. Hirata, A. Telea. Improving Deep Learning Projections by Neighborhood Analysis. In: Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2020. Communications in Computer and Information Science, vol 1474. Springer, Cham, 2022.

2021

Leonardo Blanger, Nina S. T. Hirata, and Xiaoyi Jiang. Reducing the need for bounding box annotations in object detection using image classification data. In 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pages 199–206, 2021.

L Nakazono, C Mendes de Oliveira, N S T Hirata, S Jeram, C Queiroz, Stephen S Eiken- berry, A H Gonzalez, R Abramo, R Overzier, M Espadoto, A Martinazzo, L Sampedro, F R Herpich, F Almeida-Fernandes, A Werle, C E Barbosa, L Sodré Jr., E V Lima, M L Buzzo, A Cortesi, K Menndez-Delmestre, S Akras, Alvaro Alvarez-Candal, A R Lopes, E Telles, W Schoenell, A Kanaan, and T Ribeiro. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. Monthly Notices of the Royal Astronomical Society, 507(4):5847–5868, 07 2021.

Antonio José Homsi Goulart, Alexandre Morimitsu, Renan Jacomassi, Nina Hirata, and Rubens Lopes. Deep learning and t-SNE projection for plankton images clusterization. In {\em OCEANS 2021: San Diego - Porto}, pages 1--4, 2021.

Nina S. T. Hirata and George A. Papakostas. On machine-learning morphological image operators. Mathematics, 9(16), 2021

M. Espadoto, F. C. M. Rodrigues, N. S. T. Hirata, and A. C. Telea. Optmap: Using dense maps for visualizing multidimensional optimization problems. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 3: IVAPP, pages 123–132. SCITEPRESS, 2021.

M. Espadoto, N. S. T. Hirata, and A. C. Telea. Self-supervised dimensionality reduction with neural networks and pseudo-labeling. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 3: IVAPP, pages 27–37, 2021.

Ana Martinazzo, Mateus Espadoto, and Nina S. T. Hirata. Self-supervised learning for astronomical image classification In 25th International Conference on Pattern Recognition (ICPR), pages 4176–4182, 2021.
Mateus Espadoto, Rafael Martins, Andreas Kerren, Nina Hirata, and Alexandru Telea. Towards a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, 27(3):2153–2173, 2021.

2020

Augusto C. M. Silva, Xiaoyi Jiang, and Nina Hirata. Skeletal similarity based structural performance evaluation for document binarization. In International Conference on Frontiers of Handwriting Recognition (ICFHR), pp.37-42, 2020
Mateus Espadoto, N. S. T. Hirata, and Alexandru C Telea. Deep learning multidimensional projections. Information Visualization, 2020.
Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, and Nina S. T. Hirata. A general framework for the recognition of online handwritten graphics. International Journal on Document Analysis and Recognition (IJDAR), (to appear), 2020.
Mateus Espadoto, Nina S. T. Hirata, Alexandre X. Falcão, and Alexandru C. Telea. Improving neural network-based multidimensional projections. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, pages 29–41. INSTICC, SciTePress, 2020.
Ana Martinazzo, Mateus Espadoto, and Nina S. T. Hirata. Deep learning for astronomical object classification: A case study. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, pages 87–95. INSTICC, SciTePress, 2020.

2019

L. Blanger and N. S. T. Hirata. An Evaluation of Deep Learning Techniques for QR Code Detection, IEEE International Conference on Image Processing (ICIP), pp.1625-1629, 2019.
C. Mendes de Oliveira, et.al., The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies, and redshifts with 12 optical filters, Monthly Notices of the Royal Astronomical Society, Volume 489, Issue 1, October 2019, Pages 241–267
M. Espadoto, F. C. M. Rodrigues, N. S. T. Hirata, R. Hirata Jr., A. C. Telea. Deep Learning Inverse Multidimensional Projections, EuroVis Workshop on Visual Analytics (EuroVA), 2019

2018

Ana L. M. Maia, F. D. Julca-Aguilar, and N. S. T. Hirata. A machine learning approach for graph-based page segmentation, 31th Conference on Graphics, Patterns and Images (SIBGRAPI), 2018, pp.424-431.
F. D. Julca-Aguilar and N. S. T. Hirata, Symbol detection in online handwritten graphics using Faster R-CNN, 13th IAPR International Workshop on Document Analysis Systems (DAS), 2018, pp. 151-156
Evaluation of Transfer Learning Scenarios in Plankton Image Classification, Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), volume~5, pp. 359--366. INSTICC, SciTePress, 2018.

2017

Frank D. Julca-Aguilar, Ana L. L. M. Maia and Nina S. T. Hirata, Text/non-text classification of connected components in document images, 30th Conference on Graphics, Patterns and Images (SIBGRAPI), Niteroi, 2017, pp. 450-455.
Frank D. Julca-Aguilar and Nina S. T. Hirata, Image operator learning coupled with CNN classification and its application to staff line removal, 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017, pp. 53-58.
I. S. Montagner, N. S. T. Hirata, and R. Hirata Jr. Staff removal using image operator learning. Pattern Recognition, 63:310 - 320, 2017

2016

N. S. T. Hirata, M. A. Fernadez, and R. M. Lopes. Plankton image classification based on multiple segmentations. In 2nd Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI), pages 55-60, 2016
N. S. T. Hirata, I. S. Montagner, and R. Hirata Jr. Comics image processing: learning to segment text. In Proc. of the 1st International Workshop on coMics ANalysis, Processing and Understanding, pages 11:1-11:6. ACM, 2016
F. D. Julca-Aguilar, N. S. T. Hirata, H. Mouchère and C. Viard-Gaudin. Subexpression and Dominant Symbol Histograms for Spatial Relation Classification in Mathematical Expressions. In 23rd International Conference on Pattern Recognition (ICPR), pages 3446–3451, 2016
R. R. Silva, Igor S. Montagner, and Nina S. T. Hirata. Remoção de compasso usando combinações de operadores heurísticos e treinados automaticamente. Workshop of Undergraduate Works (WUW), SIBGRAPI, 2016
Igor S. Montagner, Nina S. T. Hirata, and R. Hirata Jr. Image operator learning and applications. In Conference on Graphics, Patterns and Images Tutorials (SIBGRAPI-T), pages 38-50, 2016. More ...
Igor S. Montagner, Roberto Hirata Jr, Nina S. T. Hirata, and Stéphane Canu. Kernel approximations for W-operator learning. In Conference on Graphics, Patterns and Images (SIBGRAPI), pages 386-393, 2016
Igor S. Montagner, Nina S. T. Hirata, Roberto Hirata Jr, Stéphane Canu. NILC: a two level learning algorithm with operator selection, IEEE International Conference on Image Processing (ICIP), pages 1873--1877, 2016

2015

Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin and Nina S. T. Hirata. Top-Down Online Handwritten Mathematical Expression Parsing with Graph Grammar, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP 2015), Lecture Notes in Computer Science, vol. 9423, pp.444-451, 2015
Mariela Atausinchi Fernandez, Rubens M. Lopes, and Nina S. T. Hirata. Image segmentation assessment from the perspective of a higher level task 28th SIBGRAPI - Conference on Graphics, Patterns and Images, pp.111-118, 2015
Marta M. Dornelles and Nina S. T. Hirata. Selection of windows for W-operator combination from entropy based ranking 28th SIBGRAPI - Conference on Graphics, Patterns and Images, pp.64 - 71, 2015
Nina S.T. Hirata and Frank D. Julca-Aguilar. Matching based ground-truth annotation for online handwritten mathematical expressions. Pattern Recognition, 48(3):837-848, 2015.

2014

Bruno Klava, Nina S. T. Hirata. A Model for Simulating User Interaction in Hierarchical Segmentation, IEEE International Conference on Image Processing (ICIP), pages 4358-4362, 2014.
Igor dos Santos Montagner, Roberto Hirata Jr, Nina S. T. Hirata, Learning to Remove Staff Lines from Music Score Images, IEEE International Conference on Image Processing (ICIP), pages 2614-2618, 2014.
Frank D. Julca Aguilar, Nina S. T. Hirata, Christian Viard-Gaudin, Harold Mouchère and Sofiane Medjkoune, Mathematical symbol hypothesis recognition with rejection option, 14th International Conference on Frontiers in Handwriting Recognition (ICFHR), pages 500-505, 2014.
Igor dos Santos Montagner, Roberto Hirata Jr, Nina S. T. Hirata, A Machine Learning based method for Staff Removal, In 22nd International Conference on Pattern Recognition (ICPR), pages 3162-3167, 2014.
Vinicius Rafael N. dos Santos, Waleed Al-Nuaimy, Jorge Luís Porsani, Nina S. Tomita Hirata, Hamzah S. Alzubi, Spectral analysis of ground penetrating radar signals in concrete, metallic and plastic targets, Journal of Applied Geophysics, Volume 100, January 2014, Pages 32-43

2013

SIBGRAPI 2013
L. F. F. Belussi and N. S. T. Hirata, Fast component-based QR code detection in arbitrarily acquired images, Journal of Mathematical Imaging and Vision, Volume 45, Issue 3 (2013), Page 277-292

2012

M.M. Dornelles and N. S. T. Hirata, A genetic algorithm based approach for combining binary image operators. 21st International Conference on Pattern Recognition, 2012, Tsukuba.
Igor dos Santos Montagner, Roberto Hirata Jr, Nina S.T. Hirata, TRIOS - an open source toolbox for training image operators from samples, Workshop of Works in Progress (WIP) in SIBGRAPI 2012 (XXV Conference on Graphics, Patterns and Images), 2012
E. D. Huaynalaya, N. S. T. Hirata and E. Finger, Detecção de ovos de S. mansoni em imagens microscópicas, Anais do VIII Workshop de Visão Computacional, 2012.
F. D. J. Aguilar and N. S. T. Hirata, ExpressMatch: A System for Creating Ground-Truthed Datasets of Online. Mathematical Expressions, 10th IAPR International Workshop on Document Analysis Systems (DAS 2012), pp.155-159, 2012.

2011

L. F. F. Belussi and N. S. T. Hirata, Fast QR Code Detection in Arbitrarily Acquired Images, 24th Conference on Graphics, Patterns and Images (Sibgrapi), pp. 281 - 288, 2011.
HIRATA, N. S. T. . Morphological Operator Design from Training Data: A State of the Art Overview. In: Halina Kwasnicka; Lakhmi C. Jain. (Org.). Innovations in Intelligent Image Analysis, Springer, 2011, p. 31-58.
Hirata, Nina S. T. ; Honda, W. Y. . Automatic Labeling of Handwritten Mathematical Symbols via Expression Matching. In: 8th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition. Lecture Notes in Computer Science -- Graph-Based Representations in Pattern Recognition, 2011. v. 6658. p. 295-304.

2010

Santos, Carlos S. ; Hirata, Nina S.T. ; Hirata, Roberto . An Information Theory framework for two-stage binary image operator design. Pattern Recognition Letters, v. 31, p. 297-306, 2010.
SIDER, R. ; OZAHATA, B. Y. ; HIRATA, N. S. T. . ExpressMath: Análise Estrutural de Expressões Matemáticas Manuscritas. In: Nidia Pavan Kuri; Paulo Cesar Lima Segantine. (Org.). Iniciação científica e tecnológica: o jovem pesquisador em ação II. : CETEPE-EESC / USP, 2010, p. 109-129.
Dornelles, M.M. ; Hirata, N.S.T. . A Genetic Algorithm Based Method for Determining Two-level Morphological Operators. In: 17th International Conference on Systems, Signals and Image Processing, IWSSIP 2010, Rio de Janeiro, v. 1, p. 453-456.

2009

Hirata, N.S.T. Multilevel Training of Binary Morphological Operators. IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 31, p. 707-720, 2009 (Supplementary material)
B. Klava ; Hirata, N.S.T. Interactive image segmentation with integrated use of the markers and the hierarchical watershed approaches. In: International Conference on Computer Vision Theory and Applications, 2009, Lisboa. Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, 2009. v. 1. p. 186-193.
HIGA, C. H. A. ; HASHIMOTO, R. F. ; HIRATA JR., R. ; HIRATA, N. S. T. ; SANTOS, C. S. . Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains. In: IEEE International Workshop on Genomic Signal Processing and Statistics, 2009, Minneapolis. GENSIPS 2009, 2009. p. 1-4.
HIRATA, N. S. T. ; BERTOLDI, M. M. D. The use of high resolution images in morphological operator learning. In: Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 2009, Rio de Janeiro. Proceedings of SIBGRAPI, 2009. p. 141-148.

2008

HIRATA, N. S. T. . Stack Filters: From Definition to Design Algorithms. In: Peter W. Hawkes. (Org.). Advances in Imaging and Electron Physics. : Elsevier Inc., 2008, v. 152, p. 1-47.

2007

DELLAMONICA JUNIOR, D. ; SILVA, P. J. S. ; HUMES C. ; Hirata, N.S.T. ; BARRERA, J. An Exact Algorithm for Optimal MAE Stack Filter Design. IEEE Transactions on Image Processing, v. 16, p. 453-462, 2007.
HIRATA, N. S. T. . Document Processing via Trained Morphologicl Operators. In: 9th International Conference on Document Analysis and Recognition, 2007, Curitiba. ICDAR 2007 9th International Conference on Document Analysis and Recognition, 2007. v. II. p. 794-798.
HIRATA, N. S. T. ; HIRATA JR., R. ; BARRERA, J. . Basis Computation Algorithms. In: 8th International Symposium on Mathematical Morphology, 2007, Rio de Janeiro. Mathematical Morphhology and its Applications to Signal and Image Processing (Proceedings of the 8th International Symposium on Mathematical Morphology), 2007. v. 1. p. 15-26.
SANTOS, C. S. ; HIRATA, N. S. T. ; HIRATA JR., R. . Two-stage Binary Image Operator Design: an Approach Based on Interaction Information. In: XX Brazilian Symposium on Computer Graphics and Image Processing, 2007, Belo Horizonte. Proceedings of SIBGRAPI 2007, 2007. p. 53-60.

2005

HIRATA, N ; BARRERA, J . A unifying view for stack filter design based on graph search methods. Pattern Recognition, v. 38, p. 2088-2098, 2005
HIRATA, N. S. T. . Binary Image Operator Design based on Stacked Generalization. In: SIBGRAPI (Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens), 2005, Natal. Proceedings of SIBGRAPI, 2005, p. 63-70.

2003

HIRATA, N. S. T. Classes of WOS Filters. In: IEEE - EURASIP Workshop on Nonlinear Signal and Image Processing, 2003, Grado. Proc. of 2003 IEEE - EURASIP Workshop on Nonlinear Signal and Image Processing, 2003.
HIRATA, N. S. T. . Order Statistic Filters: Minimal Collection of Minimum Weight Vectors. In: IEEE International Conference on Image Processing, 2003, Barcelona. Proceedings of ICIP 2003, 2003. v. I. p. 897-900.
HIRATA, N. S. T. ; HIRATA JR., R. . Design of Order Statistic Filters from Examples. In: Simpósio Barsileiro de Computação Gráfica e Processamento de Imagens, 2003, São Carlos - SP. Proc. of SIBGRAPI, 2003.

2002

TORRES, M. X. ; HIRATA, N. S. T. ; BARRERA, J. High-performance algorithm for Boolean function minimization: the partitioned incremental splitting of intervals (PISI) In: Photonics West' 2002, 2002, San Jose. Image Processing: Algorithms and Systems, volume 4667 of Proc. SPIE, 2002. v. 4667. p. 386-395.
HIRATA, N. S. T. ; BARRERA, J. ; DOUGHERTY, E. R. ; TERADA, R. . The Incremental Splitting of Intervals Algorithm for the Design of Binary Image Operators. In: International Symposium on Mathematical Morphology, 2002, Sydney. Proceedings of the 6th International Symposium: ISMM 2002, 2002.
BARRERA, J. ; MARTIN, P. A. ; DOUGHERTY, E. R. ; GUBITOSO, M. D. ; HIRATA, N. S. T. ; TREPODE, N. W. . Identification of Input-free Finite Lattice Dynamical Systems under Envelope Constraints. In: 6th International Symposium on Mathematical Morphology, 2002, Sydney. Proceedings of the 6th International Symposium: ISMM 2002, 2002.

2001

BARRERA, J. ; DOUGHERTY, E. R. ; GUBITOSO, M. D. ; HIRATA, N. S. T. . Modeling Temporal Morphological Systems via Lattice Dynamical Systems. In: Electronic Imaging at SPIE Photonics West 2001, 2001, San Jose, CA, USA. Nonlinear Image Processing and Pattern Analysis XII, 2001. v. 4304.
PELTONEN, S. ; TABUS, I. ; ASTOLA, J. T. ; DOUGHERTY, E. R. ; HIRATA, N. S. T. . Robust Optimization of Stack Filters. In: Nonlinar Signal and Image Processing (NSIP'01), 2001, Boston. Proceedings of NSIP'01, 2001.
ARMELIN, H. A. ; BARRERA, J. ; DOUGHERTY, E. R. ; GUBITOSO, M. D. ; HIRATA, N. S. T. ; NEVES, E. J. . Simulator for Gene Expression Networks. In: BIOS 2001 (SPIE Photonics West), 2001, San Jose, CA, USA. Proceedings of SPIE, 2001. v. 4266.
BRUN, M. ; BARRERA, J. ; HIRATA, N. S. T. ; TREPODE, N. W. ; DANTAS, D. O. ; TERADA, R. . Multi-resolution Classification Trees in OCR Design. In: Sibgrapi 2001, 2001, Florianópolis - SC - Brazil. Proceedings of Sibgrapi 2001, p. 59-66.
HIRATA, N. S. T. . Projeto automático de operadores: Explorando conhecimentos a priori.. In: XXI Congresso da Sociedade Brasileira de Computação, 2001, Fortaleza - CE. Anais do XXI Congresso da Sociedade Brasileira de Computação, 2001.

2000

BARRERA, J. ; TERADA, R. ; HIRATA JR., R. ; HIRATA, N. S. T. . Automatic Programming of Morphological Machines by PAC Learning. Fundamenta Informaticae, v. 41, n. 1-2, p. 229-258, 2000. Also published as a book chapter in J. Goutsias; H. J. A. M. Heijmans. (Org.). Mathematical Morphology, IOS Press, 2000, v. , p. -.
Nina S.T. Hirata, Edward R. Dougherty, Junior Barrera. A switching algorithm for design of optimal increasing binary filters over large windows. Pattern Recognition, v. 33, p. 1059-1081, 2000.
Hirata, Nina S. T. ; Dougherty, Edward R. ; Barrera, Junior . Iterative design of morphological binary image operators . Optical Engineering (Bellingham), v. 39, p. 3106, 2000.
HIRATA, N. S. T. ; DOUGHERTY, E. R. ; BARRERA, J. . Bayesian Switching Algorithm for the Optimal Increasing Binary Filter. In: European Signal and Image Processing Conference (EUSIPCO), 2000, Tampere, Finlandia. Proceedings of EUSIPCO 2000, 2000. v. IV. p. 1889-1892.
HIRATA, N. S. T. ; BARRERA, J. ; TERADA, R. . Text segmentation by Automatically designed Morphological Operators. In: SIBGRAPI'00 (Brazilian Synposium on Computer Graphics and Image Processing), 2000, p. 284-291.
Nina S. T. Hirata, Projeto Automático de Operadores: Explorando Conhecimentos a Priori, PhD thesis (pdf, in Portuguese), IME-USP, 2000.

1999

HIRATA, N. S. T. ; DOUGHERTY, E. R. ; BARRERA, J. . Efficient Switching Algorithm for Designing Increasing Binary Filters. In: Nonlinear Image Processing X, Electronic Imaging, SPIE Photonics West, 1999, v. 3646, p. 185-196.
MADEIRA, H. M. F. ; BARRERA, J. ; HIRATA JR., R. ; HIRATA, N. S. T. . A New Paradigm for the Architecture of Morphological Machines: Binary Decision Diagrams. In: SIBGRAPI'99 (Brazilian Symposium on Computer Graphics and Image Processing), 1999, Campinas. Proceedings of Sibgrapi'99, 1999. p. 283-292.
HIRATA, N. S. T. ; BARRERA, J. ; DOUGHERTY, E. R. . Design of Statistically Optimal Stack Filters. In: SIBGRAPI'99 (Brazilian Symposium on Computer Graphics and Image Processing), 1999, p. 265-274.

1998

BARRERA, J. ; TERADA, R. ; LOTUFO, R. A. ; HIRATA, N. S. T. ; HIRATA JR., R. ; ZAMPIROLLI, F. A. . An OCR based on Mathematical Morphology. In: SPIE Photonics West 1998, 1998, San Jose, CA, USA. Nonlinear Image Processing IX, 1998. v. 3304. p. 197-208.
DOUGHERTY, E. R. ; GRIGORYAN, A. M. ; BARRERA, J. ; HIRATA, N. S. T. . Binary Filter Design: Optimization, Prior Information and Robustness. In: SPIE's International Symposium on Optical Science, 1998, San Diego, CA, USA. Mathematical Modeling and estimation techniques in Computer Vision, 1998. v. 3457. p. 230-241.
HIRATA, N. S. T. ; DOUGHERTY, E. R. ; BARRERA, J. . Design of Large-Window Binary Filters via Iteration. In: SPIE Photonics East 1998, 1998, Boston, MA, USA. Intelligent Robots and Computer Vision XVII: Algorithms, techniques, and Active Vision, 1998. v. 3522. p. 173-182.

1997

BARRERA, J. ; DOUGHERTY, E. R. ; HIRATA, N. S. T. . Automatic Programming Of Binary Morphological Machines By Design Of Statistically Optimal Operators In The Context Of Computational Learning Theory. Journal of Electronic Imaging (Springfield), v. 6, n. 1, p. 54-67, 1997.
BARRERA, J. ; DOUGHERTY, E. R. ; HIRATA, N. S. T. . Design of Optimal Morphological Operators from Prior Filters. Image Analysis and Stereology, v. 16, n. 3, p. 193-200, 1997.
DOUGHERTY, E. R. ; BARRERA, J. ; HIRATA, N. S. T. . Optimal Filters From Prior Filters. In: SPIE Photonics West 1997, 1997, San Jose, CA, USA. Nonlinar Image Processing, 1997. v. VIII. p. 2-7.

1996

BARRERA, J. ; TERADA, R. ; SILVA, F. S. C. ; HIRATA, N. S. T. . Automatic Programming of Morphological Machines for OCR. In: Mathematical Morphology And Its Applications to Image and Signal Processing, INTERNATIONAL SYMPOSIUM ON MATHEMATICAL MORPHOLOGY, 1996, p. 385-392.
Nina S. Tomita, Programação Automática de Máquinas Morfológicas Binárias por Aprendizado PAC, Master's dissertation (compressed PostScript, in Portuguese), IME-USP, 1996.

1995

BARRERA, J. ; HIRATA, N. S. T. ; SILVA, F. S. C. ; TERADA, R. . Automatic Programming of Binary Morphological Machines By Pac Learning. In: Neural And Stochastic Methods In Image And Signal Processing, SPIE INTERNATIONAL SYMPOSIUM ON OPTICAL SCIENCE, ENGINEERING AND INSTRUMENTATION, 1995, v. 2568. p. 233-244.

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