D. Pedronette

发表

An optimized unsupervised manifold learning algorithm for manycore architectures

Jurandy Almeida, Ying Weng, Daniel Carlos Guimarães Pedronette, 2019, Inf. Sci..

A rank aggregation framework for video multimodal geocoding

Jurandy Almeida, Ricardo da Silva Torres, Otávio Augusto Bizetto Penatti, 2014, Multimedia Tools and Applications.

Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks

Leonardo Tadeu Lopes, D. C. G. Pedronette, D. Pedronette, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Regression by Re-Ranking

R. Torres, D. C. G. Pedronette, F. Gonçalves, 2023, Pattern Recognit..

Person Re-ID through unsupervised hypergraph rank selection and fusion

Lucas Pascotti Valem, D. Pedronette, 2022, Image Vis. Comput..

A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval

Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, D. Pedronette, 2021, ICMR.

A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID

Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, D. C. G. Pedronette, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Semi-supervised and active learning through Manifold Reciprocal kNN Graph for image retrieval

Ying Weng, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, 2019, Neurocomputing.

Unsupervised Effectiveness Estimation for Image Retrieval Using Reciprocal Rank Information

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2015, 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images.

A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, Rodrigo Tripodi Calumby, 2015, EURASIP Journal on Image and Video Processing.

Semi-supervised Learning for Relevance Feedback on Image Retrieval Tasks

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, Rodrigo Tripodi Calumby, 2014, 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images.

Using contextual spaces for image re-ranking and rank aggregation

R. Torres, R. Calumby, D. C. G. Pedronette, 2014, Multimedia Tools and Applications.

Multimedia multimodal geocoding

Jurandy Almeida, Ricardo da Silva Torres, Otávio Augusto Bizetto Penatti, 2012, SIGSPATIAL/GIS.

A Multimodal Approach for Video Geocoding

Jurandy Almeida, Ricardo da Silva Torres, Otávio Augusto Bizetto Penatti, 2012, MediaEval.

Manifold Correlation Graph for Semi-Supervised Learning

Fabricio A. Breve, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Combined unsupervised and semi-supervised learning for data classification

Fabricio A. Breve, Daniel Carlos Guimarães Pedronette, D. C. G. Pedronette, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Self-Supervised Regression for Query Performance Prediction on Image Retrieval

Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, D. Pedronette, 2023, International Conference on Artificial Intelligence and Knowledge Engineering.

Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning

Longin Jan Latecki, Lucas Pascotti Valem, D. C. G. Pedronette, 2023, IEEE Transactions on Image Processing.

Efficient Rank-Based Diffusion Process with Assured Convergence

Longin Jan Latecki, Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, 2021, J. Imaging.

Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks

Daniel Carlos Guimarães Pedronette, Otávio A. B. Penatti, Ricardo da S. Torres, 2014, Image Vis. Comput..

Shape Retrieval using Contour Features and Distance Optimization

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2010, VISAPP.

Feature augmentation based on manifold ranking and LSTM for image classification

Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, D. C. G. Pedronette, 2022, Expert Syst. Appl..

Manifold information through neighbor embedding projection for image retrieval

Lucas Pascotti Valem, Ricardo da S. Torres, D. Pedronette, 2024, Pattern Recognition Letters.

Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval

Longin Jan Latecki, Lucas Pascotti Valem, A. Baldassin, 2024, ACM Transactions on Multimedia Computing, Communications, and Applications.

RaDE+: A semantic rank-based graph embedding algorithm

Lucas Pascotti Valem, Filipe Alves de Fernando, Gustavo José de Sousa, 2022, Int. J. Inf. Manag. Data Insights.

An Unsupervised Distance Learning Framework for Multimedia Retrieval

Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, D. C. G. Pedronette, 2017, ICMR.

RaDE: A Rank-based Graph Embedding Approach

Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, Lucas Pascotti Valem, 2020, VISIGRAPP.