VALEM, L. P. Contextual Similarity Learning for Image Retrieval and Classification: Applications in Person Re-identification. Tese de Doutorado, Universidade Estadual Paulista (Unesp), 2024.
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VALEM, L. P. Combinação Seletiva Não Supervisionada de Listas Ranqueadas Aplicada à Busca de Imagens pelo Conteúdo. Dissertação de Mestrado, Universidade Estadual Paulista (Unesp), 2019.
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VALEM, L. P.; PEDRONETTE, D. C. G. ; LATECKI, L. J. . Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. In: IEEE Transactions on Image Processing (TIP); 2023.
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VALEM, L. P.; PEDRONETTE, D. C. G. ; LATECKI, L. J. . Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification. In: Computer Vision and Image Understanding; 2023.
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VALEM, L. P.; PEDRONETTE, D. C. G. . Person Re-ID through unsupervised hypergraph rank selection and fusion. In: Journal of Image and Vision Computing; 2022.
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DE FERNANDO, F. A. ; PEDRONETTE, D. C. G. ; DE SOUSA, G. J. ; VALEM, L. P. ; GUILHERME, I. R. . RaDE+: A semantic rank-based graph embedding algorithm. In: International Journal of Information Management Data Insights; v. 2, no. 1, 2022.
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DOS SANTOS, CLAUDIO; OLIVEIRA, D.; PASSOS, L., PIRES, R.; SANTOS, D. F.; VALEM, L. P. ; MOREIRA, T. P.; SANTANA, M. C.; RODER, M.; PAPA, J. P.; COLOMBO, D. . Gait Recognition Based on Deep Learning: A Survey. In: ACM Computing Surveys; v. 55, 2022.
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PEDRONETTE, D. C. G. ; VALEM, L. P. ; LATECKI, L. J. . Efficient Rank-Based Diffusion Process with Assured Convergence. In: Journal of Imaging; v. 7, no. 3, p. 49, 2021.
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PEDRONETTE, D. C. G. ; VALEM, L. P. ; TORRES, R. S. . A BFS-Tree of Ranking References for Unsupervised Manifold Learning. In: Pattern Recognition; v. 111, p. 107666, 2021.
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VALEM, L. P.; PEDRONETTE, D. C. G. . Graph-based selective rank fusion for unsupervised image retrieval. In: Pattern Recognition Letters; v. 135, p. 82-89, 2020.
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PISANI. F; VALEM, L. P.; PEDRONETTE, D. C. G. ; TORRES, R. S. ; BORIN, E. ; BRETERNITZ JR., M. . A unified model for accelerating unsupervised iterative re-ranking algorithms. In: Concurrency and Computation: Practice and Experience; v. 32, p. e5702, 2020.
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VALEM, L. P. ; PEDRONETTE, D. C. G. . Unsupervised Selective Rank Fusion for Image Retrieval Tasks. In: Neurocomputing; v. 377, p. 182-199, 2019.
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PEDRONETTE, D. C. G. ; VALEM, L. P. ; ALMEIDA, J.; TORRES, R. S. . Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. In: IEEE Transactions on Image Processing (TIP); v. 28, p. 5824–5838, 2019.
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VALEM, L. P. ; DE OLIVEIRA C. R. ; PEDRONETTE, D. C. G. ; ALMEIDA, J. . Unsupervised Similarity Learning through Rank Correlation and kNN Sets. In: The ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM); 2018.
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VALEM, L. P. ; PEDRONETTE, D. C. G. ; ALMEIDA, J. . Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. In: Pattern Recognition Letters (PRL); 2017.
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VALEM, L. P.; PEDRONETTE, D. C. G.; Allili, M. S. . Contrastive Loss based on Contextual Similarity for Image Classification. In: In 19th International Symposium on Visual Computing (ISVC), 2024, Lake Tahoe, NV, USA.
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Material Suplementar + Código
ALMEIDA, T. C. C. VALEM L. P.; PEDRONETTE, D. C. G. . Unsupervised Effectiveness Estimation Measure Based on Rank Correlation for Image Retrieval. In: In 19th International Symposium on Visual Computing (ISVC), 2024, Lake Tahoe, NV, USA.
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VALEM, L. P.; KAWAI, V. A. S.; PEREIRA-FERRERO, V. H. ; PEDRONETTE, D. C. G. . A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID. In: IEEE International Conference on Image Processing (ICIP) , 2022.
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ALMEIDA, L. B. ; PEREIRA-FERRERO, V. H. ; VALEM, L. P. ; ALMEIDA, J. ; PEDRONETTE, D. C. G. . Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking. In: SIBGRAPI Conference on Graphics, Patterns and Images, 2021 (accepted, to appear).
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VALEM, L. P. ; PEDRONETTE, D. C. G. . A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. In: ACM International Conference on Multimedia Retrieval (ICMR), 2021, Taipei - Taiwan.
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Apresentação
PRESOTTO, J. G. C.; VALEM, L. P.; de SÁ, N. G.; PEDRONETTE, D. C. G.; PAPA, J. P. . Weakly Supervised Learning through Rank-based Contextual Measures. In: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 5752-5759.
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LOPES, L. T. ; VALEM, L. P. ; PEDRONETTE, D. C. G. ; GUILHERME, I. R. ; PAPA, J. P. ; SANTANA, M. C. S. ; COLOMBO, D. . Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. In: 15th International Conference on Computer Vision Theory and Applications (VISAPP), 2020, Valleta - Malta.
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DE FERNANDO, F. A. ; PEDRONETTE, D. C. G. ; DE SOUSA, G. J. ; VALEM, L. P. ; GUILHERME, I. R. . RaDE: A Rank-based Graph Embedding Approach. In: 15th International Conference on Computer Vision Theory and Applications (VISAPP), 2020, Valleta - Malta.
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VALEM, L. P. ; PEDRONETTE, D. C. G. . An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval. In: ACM International Conference on Multimedia Retrieval (ICMR), 2019, Ottawa - Canada.
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VALEM, L. P. ; PEDRONETTE, D. C. G. ; BREVE, F. ; GUILHERME, I. R. . Manifold Correlation Graph for Semi-Supervised Learning. In: IJCNN IEEE WCCI, 2018, Rio de Janeiro - Brazil.
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ALMEIDA, J. ; VALEM, L. P. ; PEDRONETTE, D. C. G. . A Rank Aggregation Framework for Video Interestingness Prediction. In: 9th International Conference on Image Analysis and Processing (ICIAP), 2017, Catania - Italy.
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VALEM, L. P. ; PEDRONETTE, D. C. G. . Selection and Combination of Unsupervised Learning Methods for Image Retrieval. In: 15th International Workshop on Content-Based Multimedia Indexing (CBMI' 17), 2017, Florence - Italy.
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VALEM, L P. ; PEDRONETTE, D. C. G. . An Unsupervised Distance Learning Framework for Multimedia Retrieval. In: ACM International Conference on Multimedia Retrieval (ICMR), 2017, Bucharest - Romania.
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VALEM, L. P. ; PEDRONETTE, D. C. G. . Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. In: SIBGRAPI Conference on Graphics, Patterns and Images, 2016, São José dos Campos - Brazil.
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VALEM, L. P. ; PEDRONETTE, D. C. G. ; TORRES, R. da S. ; EDSON BORIN ; ALMEIDA, J. . Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks. In: ACM International Conference on Multimedia Retrieval (ICMR), 2015, Shangai - China.
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