Bernardo Bentes Gatto

Orcid: 0000-0001-9639-8188

According to our database1, Bernardo Bentes Gatto authored at least 32 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Discriminative Singular Spectrum Classifier with applications on bioacoustic signal recognition.
Digit. Signal Process., March, 2023

Grassmannian learning mutual subspace method for image set recognition.
Neurocomputing, 2023

2022
Pattern-set Representations using Linear, Shallow and Tensor Subspaces.
CLEI Electron. J., 2022

Analysis of Temporal Tensor Datasets on Product Grassmann Manifold.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Correction to: Fukunaga-Koontz Convolutional Network with Applications on Character Classification.
Neural Process. Lett., 2021

Tensor analysis with n-mode generalized difference subspace.
Expert Syst. Appl., 2021

Multilinear clustering via tensor Fukunaga-Koontz transform with Fisher eigenspectrum regularization.
Appl. Soft Comput., 2021

An Augmented Lagrangian Artificial Bee Colony with Deterministic Variable Selection for Constrained Optimization.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

2020
Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition.
Pattern Recognit., 2020

Fukunaga-Koontz Convolutional Network with Applications on Character Classification.
Neural Process. Lett., 2020

A-DVM: A Self-Adaptive Variable Matrix Decision Variable Selection Scheme for Multimodal Problems.
Entropy, 2020

A semi-supervised convolutional neural network based on subspace representation for image classification.
EURASIP J. Image Video Process., 2020

Discriminative Singular Spectrum Analysis for Bioacoustic Classification.
Proceedings of the Interspeech 2020, 2020

An Interface between Grassmann manifolds and vector spaces.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Metric Learning with A-based Scalar Product for Image-set Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
News2meme: An Automatic Content Generator from News Based on Word Subspaces from Text and Image.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Classification of Bioacoustic Signals with Tangent Singular Spectrum Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2019

Tensor Fukunaga-Koontz Transform for Hierarchical Clustering.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Text Classification Based On Word Subspace With Term-Frequency.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Grassmann Singular Spectrum Analysis for Bioacoustics Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Orthogonal Hankel Subspaces for Applications in Gesture Recognition.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Enhancing discriminability of randomized time warping for motion recognition.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

A deep network model based on subspaces: A novel approach for image classification.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Mutual singular spectrum analysis for bioacoustics classification.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Hankel subspace method for efficient gesture representation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Discriminative canonical correlation analysis network for image classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Subspace-Based Convolutional Network for Handwritten Character Recognition.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

A Method to Detect Boats in Images of the Amazonian Rivers.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
A Framework for Chainsaw Detection Using One-Class Kernel and Wireless Acoustic Sensor Networks into the Amazon Rainforest.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Poster Abstract: A Framework for Chainsaw Detection Using One-Class and WSNs.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Kernel Two Dimensional Subspace for Image Set Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Image-Set Matching by Two Dimensional Generalized Mutual Subspace Method.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016


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