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Nina Sumiko Tomita Hirata
Publications
- 2023
- [j14]Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea:
Visualizing High-Dimensional Functions with Dense Maps. SN Comput. Sci. 4(3): 230 (2023) - 2022
- [c53]Nina S. T. Hirata, Alexandre Morimitsu, Antonio Jose Homsi Goulart:
Separating Particles from Plankton Images. ICPR Workshops (3) 2022: 445-459 - 2021
- [j13]Mateus Espadoto, Rafael Messias Martins, Andreas Kerren, Nina S. T. Hirata, Alexandru C. Telea:
Toward a Quantitative Survey of Dimension Reduction Techniques. IEEE Trans. Vis. Comput. Graph. 27(3): 2153-2173 (2021) - [c51]Artur André Almeida de Macedo Oliveira, Mateus Espadoto, Roberto Hirata, Nina S. T. Hirata, Alexandru C. Telea:
Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-Labeling Strategies. VISIGRAPP (Revised Selected Papers) 2021: 135-161 - [c50]Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea:
Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling. VISIGRAPP (3: IVAPP) 2021: 27-37 - [c49]Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea:
OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. VISIGRAPP (3: IVAPP) 2021: 123-132 - 2020
- [j11]Mateus Espadoto, Nina Sumiko Tomita Hirata, Alexandru C. Telea:
Deep learning multidimensional projections. Inf. Vis. 19(3): 247-269 (2020) - [c47]Mateus Espadoto, Nina S. T. Hirata, Alexandre X. Falcão, Alexandru C. Telea:
Improving Neural Network-based Multidimensional Projections. VISIGRAPP (3: IVAPP) 2020: 29-41 - [c46]Terri S. Modrakowski, Mateus Espadoto, Alexandre X. Falcão, Nina S. T. Hirata, Alexandru C. Telea:
Improving Deep Learning Projections by Neighborhood Analysis. VISIGRAPP (Revised Selected Papers) 2020: 127-152 - [c44]Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
Self-supervised Learning for Astronomical Image Classification. ICPR 2020: 4176-4182 - [c43]Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
Deep Learning for Astronomical Object Classification: A Case Study. VISIGRAPP (5: VISAPP) 2020: 87-95 - [i6]Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
Self-supervised Learning for Astronomical Image Classification. CoRR abs/2004.11336 (2020) - 2019
- [c41]Mateus Espadoto, Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Roberto Hirata Jr., Alexandru C. Telea:
Deep Learning Inverse Multidimensional Projections. EuroVA@EuroVis 2019: 13-17 - [i5]Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea:
Deep Learning Multidimensional Projections. CoRR abs/1902.07958 (2019) - [i4]Artur A. M. Oliveira, Nina S. T. Hirata, Roberto Hirata Jr.:
Greenery Segmentation In Urban Images By Deep Learning. CoRR abs/1912.06199 (2019) - 2018
- [c38]Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Antonio A. Abello, Leandro T. De La Cruz, Rubens M. Lopes, Roberto Hirata Jr.:
Evaluation of Transfer Learning Scenarios in Plankton Image Classification. VISIGRAPP (5: VISAPP) 2018: 359-366 - 2017
- [j10]Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.:
Staff removal using image operator learning. Pattern Recognit. 63: 310-320 (2017) - 2016
- [c35]Igor dos Santos Montagner, Nina Sumiko Tomita Hirata, Roberto Hirata, Stéphane Canu:
NILC: A two level learning algorithm with operator selection. ICIP 2016: 1873-1877 - [c34]Nina S. T. Hirata, Igor dos Santos Montagner, Roberto Hirata Jr.:
Comics image processing: learning to segment text. MANPU@ICPR 2016: 11:1-11:6 - [c33]Nina S. T. Hirata, Mariela Atausinchi Fernandez, Rubens M. Lopes:
Plankton Image Classification Based on Multiple Segmentations. CVAUI@ICPR 2016: 55-60 - [c31]Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.:
Image Operator Learning and Applications. SIBGRAPI Tutorials 2016: 38-50 - [c30]Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata, Stéphane Canu:
Kernel Approximations for W-Operator Learning. SIBGRAPI 2016: 386-393 - 2015
- [c27]Mariela Atausinchi Fernandez, Rubens M. Lopes, Nina S. T. Hirata:
Image Segmentation Assessment from the Perspective of a Higher Level Task. SIBGRAPI 2015: 111-118 - 2014
- [c24]Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata:
Learning to remove staff lines from music score images. ICIP 2014: 2614-2618 - [c22]Igor dos Santos Montagner, Roberto Hirata Jr., Nina S. T. Hirata:
A Machine Learning Based Method for Staff Removal. ICPR 2014: 3162-3167 - 2010
- [j7]Carlos S. Santos, Nina S. T. Hirata, Roberto Hirata Jr.:
An Information Theory framework for two-stage binary image operator design. Pattern Recognit. Lett. 31(4): 297-306 (2010) - 2009
- [c17]Carlos H. A. Higa, Ronaldo Fumio Hashimoto, Roberto Hirata Jr., Nina S. T. Hirata, Carlos S. Santos:
Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains. GENSiPS 2009: 1-4 - 2007
- [j5]Domingos Dellamonica Jr., Paulo J. S. Silva, Carlos Humes Jr., Nina S. T. Hirata, Junior Barrera:
An Exact Algorithm for Optimal MAE Stack Filter Design. IEEE Trans. Image Process. 16(2): 453-462 (2007) - [c13]Nina S. T. Hirata, Roberto Hirata Jr., Junior Barrera:
Basis Computation Algorithms. ISMM (1) 2007: 15-26 - [c11]Carlos S. Santos, Nina S. T. Hirata, Roberto Hirata Jr.:
Two-stage Binary Image Operator Design: an Approach Based on Interaction Information. SIBGRAPI 2007: 53-60 - 2005
- [j4]Nina S. T. Hirata, Junior Barrera:
A unifying view for stack filter design based on graph search methods. Pattern Recognit. 38(11): 2088-2098 (2005) - 2003
- [c8]Nina S. T. Hirata, Roberto Hirata Jr.:
Design of Order Statistic Filters from Examples. SIBGRAPI 2003: 222-229 - 2002
- [c7]Martha Torres, Nina S. T. Hirata, Junior Barrera:
High-performance algorithm for Boolean function minimization: the partitioned incremental splitting of intervals (PISI). Image Processing: Algorithms and Systems 2002: 386-395 - 2001
- [c6]Marcel Brun, Junior Barrera, Nina S. T. Hirata, Nestor Walter Trepode, Daniel Oliveira Dantas, Routo Terada:
Multi-Resolution Classification Trees in OCR Design. SIBGRAPI 2001: 59-66 - 2000
- [j3]Junior Barrera, Routo Terada, Roberto Hirata Jr., Nina S. T. Hirata:
Automatic Programming of Morphological Machines by PAC Learning. Fundam. Informaticae 41(1-2): 229-258 (2000) - [j2]Nina S. T. Hirata, Edward R. Dougherty, Junior Barrera:
A switching algorithm for design of optimal increasing binary filters over large windows. Pattern Recognit. 33(6): 1059-1081 (2000) - [c5]Nina S. T. Hirata, Junior Barrera, Routo Terada:
Text Segmentation by Automatically Designed Morphological Operators. SIBGRAPI 2000: 284-291 - 1999
- [c4]Nina Sumiko Tomita Hirata, Edward R. Dougherty, Junior Barrera:
Efficient switching algorithm for designing increasing binary filters. Electronic Imaging: Nonlinear Image Processing 1999 - [c3]Nina S. T. Hirata, Junior Barrera, Edward R. Dougherty:
Design of Statistically Optimal Stack Filters. SIBGRAPI 1999: 265-274 - [c2]Heraldo Maciel França Madeira, Junior Barrera, Roberto Hirata Jr., Nina S. T. Hirata:
A New Paradigm for the Architecture of Morphological Machines: Binary Decision Diagrams. SIBGRAPI 1999: 293-302 - 1997
- [j1]Junior Barrera, Edward R. Dougherty, Nina Sumiko Tomita:
Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory. J. Electronic Imaging 6(1): 54-67 (1997) - 1996
- [c1]Junior Barrera, Routo Terada, Flávio Soares Corrêa da Silva, Nina Sumiko Tomita:
Automatic Programming of MMach's for OCR. ISMM 1996: 385-392
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