Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds

Research article (Neurocomputing, 2018) · cited 18× · AI/ML
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Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds

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Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds. Retrieved May 24, 2026, from https://4ort.xyz/entity/escaping-the-curse-of-dimensionality-in-similarity-learning-efficient-frank-wolfe-algorithm-and-generalization-bounds
MLA “Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/escaping-the-curse-of-dimensionality-in-similarity-learning-efficient-frank-wolfe-algorithm-and-generalization-bounds.
BibTeX @misc{4ortxyz_escaping-the-curse-of-dimensionality-in-similarity-learning-efficient-frank-wolfe-algorithm-and-generalization-bounds_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds}}, year = {2026}, url = {https://4ort.xyz/entity/escaping-the-curse-of-dimensionality-in-similarity-learning-efficient-frank-wolfe-algorithm-and-generalization-bounds}, note = {Accessed: 2026-05-24}}
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