An Online Prediction Approach Based on Incremental Support Vector Machine for…
Real-world multiobjective optimization problems usually involve conflicting objectives that change over time, which requires the optimization algorithms to quickly track the Pareto-optimal front (P…
Learning to Adapt Invariance in Memory for Person Re-Identification
This work considers the problem of unsupervised domain adaptation in person re-identification (re-ID), which aims to transfer knowledge from the source domain to the target domain. Existing methods…
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