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Author

G. Leticio

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Open access Sep 2026

Aggregating Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval

This paper proposes a framework that combines neighbor embedding projections with rank-based manifold learning through rank aggregation, which can improve retrieval effectiveness in several scenarios, particularly when the baseline representation struggles to achieve high precision values.

V. Kawai, G. Leticio, L. Valem et al. · 0 citations
#machine learning Conference Open access Jun 2025

Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data

GRaCE surpasses RaDE and Original Features across diverse datasets, including textual and image collections, excelling in retrieval, classification, and clustering tasks, considering state-of-the-art Transformer models as feature descriptors and Graph Convolutional Networks models in classification tasks.

Thiago César Castilho Almeida, G. Leticio, L. P. Valem et al. · 1 citation · ⚡1

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