Nina Sumiko Tomita Hirata

According to our database, Nina Sumiko Tomita Hirata authored at least 70 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data.

Natália V. N. Rodrigues, L. Raul Abramo, Nina S. T. Hirata

Mach. Learn. Sci. Technol., December, 2023

Visualizing High-Dimensional Functions with Dense Maps.

Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea

SN Comput. Sci., May, 2023

ISUAM: Intelligent and Safe UAM with Deep Reinforcement Learning.

Cristiano P. Garcia, Weigang Li, Nina S. T. Hirata, Clovis Neumann

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Separating Particles from Plankton Images.

Nina S. T. Hirata, Alexandre Morimitsu, Antonio Jose Homsi Goulart

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition.

Sergio Y. Hayashi, Nina S. T. Hirata

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Toward a Quantitative Survey of Dimension Reduction Techniques.

Mateus Espadoto, Rafael Messias Martins, Andreas Kerren, Nina S. T. Hirata, Alexandru C. Telea

IEEE Trans. Vis. Comput. Graph., 2021

Reducing the need for bounding box annotations in Object Detection using Image Classification data.

Leonardo Blanger, Nina S. T. Hirata, Xiaoyi Jiang

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems.

Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling.

Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-Labeling Strategies.

Artur André Almeida de Macedo Oliveira, Mateus Espadoto, Roberto Hirata, Nina S. T. Hirata, Alexandru C. Telea

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021

2020

Deep learning multidimensional projections.

Mateus Espadoto, Nina Sumiko Tomita Hirata, Alexandru C. Telea

Inf. Vis., 2020

A general framework for the recognition of online handwritten graphics.

Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata

Int. J. Document Anal. Recognit., 2020

Deep Learning for Astronomical Object Classification: A Case Study.

Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Self-supervised Learning for Astronomical Image Classification.

Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Skeletal Similarity based Structural Performance Evaluation for Document Binarization.

Augusto César Monteiro Silva, Nina S. T. Hirata, Xiaoyi Jiang

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

Improving Deep Learning Projections by Neighborhood Analysis.

Terri S. Modrakowski, Mateus Espadoto, Alexandre X. Falcão, Nina S. T. Hirata, Alexandru C. Telea

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020

Improving Neural Network-based Multidimensional Projections.

Mateus Espadoto, Nina S. T. Hirata, Alexandre X. Falcão, Alexandru C. Telea

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019

Greenery Segmentation In Urban Images By Deep Learning.

Artur A. M. Oliveira, Nina S. T. Hirata, Roberto Hirata Jr.

CoRR, 2019

Deep Learning Inverse Multidimensional Projections.

Mateus Espadoto, Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Roberto Hirata Jr., Alexandru C. Telea

Proceedings of the 10th International EuroVis Workshop on Visual Analytics, 2019

An Evaluation of Deep Learning Techniques for Qr Code Detection.

Leonardo Blanger, Nina S. T. Hirata

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Evaluation of Transfer Learning Scenarios in Plankton Image Classification.

Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Antonio A. Abello, Leandro T. De La Cruz, Rubens M. Lopes, Roberto Hirata Jr.

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

A Machine Learning Approach for Graph-Based Page Segmentation.

Ana Lucia Lima Marreiros Maia, Frank Dennis Julca-Aguilar, Nina Sumiko Tomita Hirata

Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

Symbol Detection in Online Handwritten Graphics Using Faster R-CNN.

Frank D. Julca-Aguilar, Nina S. T. Hirata

Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017

Staff removal using image operator learning.

Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.

Pattern Recognit., 2017

Text/Non-Text Classification of Connected Components in Document Images.

Frank D. Julca-Aguilar, Ana L. L. M. Maia, Nina S. T. Hirata

Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Image Operator Learning Coupled with CNN Classification and Its Application to Staff Line Removal.

Frank Dennis Julca-Aguilar, Nina S. T. Hirata

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

2016

Kernel Approximations for W-Operator Learning.

Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata, Stéphane Canu

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

Image Operator Learning and Applications.

Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images - Tutorials, 2016

Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions.

Frank D. Julca-Aguilar, Nina S. T. Hirata, Harold Mouchère, Christian Viard-Gaudin

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Comics image processing: learning to segment text.

Nina S. T. Hirata, Igor dos Santos Montagner, Roberto Hirata Jr.

Proceedings of the 1st International Workshop on coMics ANalysis, 2016

Plankton Image Classification Based on Multiple Segmentations.

Nina S. T. Hirata, Mariela Atausinchi Fernandez, Rubens M. Lopes

Proceedings of the 2nd ICPR Workshop on Computer Vision for Analysis of Underwater Imagery, 2016

NILC: A two level learning algorithm with operator selection.

Igor dos Santos Montagner, Nina Sumiko Tomita Hirata, Roberto Hirata, Stéphane Canu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Matching based ground-truth annotation for online handwritten mathematical expressions.

Nina S. T. Hirata, Frank D. Julca-Aguilar

Pattern Recognit., 2015

Image Segmentation Assessment from the Perspective of a Higher Level Task.

Mariela Atausinchi Fernandez, Rubens M. Lopes, Nina S. T. Hirata

Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015

Selection of Windows for W-Operator Combination from Entropy Based Ranking.

Marta M. Dornelles, Nina S. T. Hirata

Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015

Top-Down Online Handwritten Mathematical Expression Parsing with Graph Grammar.

Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014

A Machine Learning Based Method for Staff Removal.

Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Learning to remove staff lines from music score images.

Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A model for simulating user interaction in hierarchical segmentation.

Bruno Klava, Nina S. T. Hirata

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Mathematical Symbol Hypothesis Recognition with Rejection Option.

Frank D. Julca-Aguilar, Nina S. T. Hirata, Christian Viard-Gaudin, Harold Mouchère, Sofiane Medjkoune

Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Integration of Shape Context and Neural Networks for Symbol Recognition.

Frank D. Julca-Aguilar, Christian Viard-Gaudin, Harold Mouchère, Sofiane Medjkoune, Nina S. T. Hirata

Proceedings of the CORIA 2014, 2014

2013

Fast Component-Based QR Code Detection in Arbitrarily Acquired Images.

Luiz Belussi, Nina S. T. Hirata

J. Math. Imaging Vis., 2013

2012

A genetic algorithm based approach for combining binary image operators.

Marta M. Dornelles, Nina S. T. Hirata

Proceedings of the 21st International Conference on Pattern Recognition, 2012

ExpressMatch: A System for Creating Ground-Truthed Datasets of Online Mathematical Expressions.

Frank D. Julca-Aguilar, Nina S. T. Hirata

Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, 2012

2011

Fast QR Code Detection in Arbitrarily Acquired Images.

Luiz Belussi, Nina S. T. Hirata

Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

Automatic Labeling of Handwritten Mathematical Symbols via Expression Matching.

Nina S. T. Hirata, Willian Y. Honda

Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

2010

An Information Theory framework for two-stage binary image operator design.

Carlos S. Santos, Nina S. T. Hirata, Roberto Hirata Jr.

Pattern Recognit. Lett., 2010

2009

Multilevel Training of Binary Morphological Operators.

Nina S. T. Hirata

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Interactive Image Segmentation with Integrated use of the Markers and the Hierarchical Watershed Approaches.

Bruno Klava, Nina S. T. Hirata

Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

The Use of High Resolution Images in Morphological Operator Learning.

Nina S. T. Hirata, Marta M. Dornelles

Proceedings of the SIBGRAPI 2009, 2009

Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains.

Carlos H. A. Higa, Ronaldo Fumio Hashimoto, Roberto Hirata Jr., Nina S. T. Hirata, Carlos S. Santos

Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

2007

An Exact Algorithm for Optimal MAE Stack Filter Design.

Domingos Dellamonica Jr., Paulo J. S. Silva, Carlos Humes Jr., Nina S. T. Hirata, Junior Barrera

IEEE Trans. Image Process., 2007

Two-stage Binary Image Operator Design: an Approach Based on Interaction Information.

Carlos S. Santos, Nina S. T. Hirata, Roberto Hirata Jr.

Proceedings of the SIBGRAPI 2007, 2007

Watershed segmentation: Switching back and forth between markers and hierarchies.

Bruno Klava, Nina Sumiko Tomita Hirata

Proceedings of the 8th ISMM 2007: Rio de Janeiro, Brazil - Volume 2, 2007

Basis Computation Algorithms.

Nina S. T. Hirata, Roberto Hirata Jr., Junior Barrera

Proceedings of the 8th ISMM 2007: Rio de Janeiro, Brazil - Volume 1, 2007

Document Processing via Trained Morphological Operators.

Nina S. T. Hirata

Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2005

A unifying view for stack filter design based on graph search methods.

Nina S. T. Hirata, Junior Barrera

Pattern Recognit., 2005

Binary Image Operator Design Based on Stacked Generalization.

Nina S. T. Hirata

Proceedings of the 18th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2005), 2005

2003

Design of Order Statistic Filters from Examples.

Nina S. T. Hirata, Roberto Hirata Jr.

Proceedings of the 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2003

Order statistic filters: minimal collection of minimum weight vectors.

Nina S. T. Hirata

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

High-performance algorithm for Boolean function minimization: the partitioned incremental splitting of intervals (PISI).

Martha Torres, Nina S. T. Hirata, Junior Barrera

Proceedings of the Image Processing: Algorithms and Systems, 2002

2001

Multi-Resolution Classification Trees in OCR Design.

Marcel Brun, Junior Barrera, Nina S. T. Hirata, Nestor Walter Trepode, Daniel Oliveira Dantas, Routo Terada

Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001

2000

A switching algorithm for design of optimal increasing binary filters over large windows.

Nina S. T. Hirata, Edward R. Dougherty, Junior Barrera

Pattern Recognit., 2000

Automatic Programming of Morphological Machines by PAC Learning.

Junior Barrera, Routo Terada, Roberto Hirata Jr., Nina S. T. Hirata

Fundam. Informaticae, 2000

Text Segmentation by Automatically Designed Morphological Operators.

Nina S. T. Hirata, Junior Barrera, Routo Terada

Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2000), 2000

1999

A New Paradigm for the Architecture of Morphological Machines: Binary Decision Diagrams.

Heraldo Maciel França Madeira, Junior Barrera, Roberto Hirata Jr., Nina S. T. Hirata

Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI '99), 1999

Design of Statistically Optimal Stack Filters.

Nina S. T. Hirata, Junior Barrera, Edward R. Dougherty

Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI '99), 1999

Efficient switching algorithm for designing increasing binary filters.

Nina Sumiko Tomita Hirata, Edward R. Dougherty, Junior Barrera

Proceedings of the Nonlinear Image Processing X, 1999

1997

Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory.

Junior Barrera, Edward R. Dougherty, Nina Sumiko Tomita

J. Electronic Imaging, 1997

1996

Automatic Programming of MMach's for OCR.

Junior Barrera, Routo Terada, Flávio Soares Corrêa da Silva, Nina Sumiko Tomita

Proceedings of the 3th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, 1996