| A Cost Model for Reverse Nearest Neighbor Query Processing on R-Trees Using Self Pruning
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2021 |
Borutta, Felix |
| Towards a Learned Index Structure for Approximate Nearest Neighbor Search Query Processing
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2021 |
Hünemörder, Maximilian |
| Fairest Neighbors: Tradeoffs Between Metric Queries
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2021 |
Hetland, Magnus Lie |
| Local Intrinsic Dimensionality and Graphs: Towards LID-aware Graph Embedding Algorithms
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2021 |
Savic, Miloš |
| Relationships Between Local Intrinsic Dimensionality and Tail Entropy
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2021 |
Bailey, James |
| The Effect of Random Projection on Local Intrinsic Dimensionality
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2021 |
Houle, Michael E. |
| Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities
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2021 |
Gøttcke, Jonatan Møller Nuutinen |
| Towards an Italian Healthcare Knowledge Graph
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2021 |
Postiglione, Marco |
| Organizing Similarity Spaces Using Metric Hulls
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2021 |
Jánošová, Miriama |
| How Many Neighbours for Known-Item Search?
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2021 |
Lokoč, Jakub |
| Structural Intrinsic Dimensionality
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2021 |
Marchand-Maillet, Stephane |
| Metric Indexing for Graph Similarity Search
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2021 |
Bause, Franka |
| The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections
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2021 |
Gnecco, Lucas |
| FIMSIM: Discovering Communities by Frequent Item-Set Mining and Similarity Search
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2021 |
Peschel, Jakub |
| Discovering Latent Information from Noisy Sources in the Cultural Heritage Domain
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2021 |
Scarrone, Fabrizio |
| A Triangle Inequality for Cosine Similarity
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2021 |
Schubert, Erich |
| Data-Driven Learned Metric Index: An Unsupervised Approach
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2021 |
Slanináková, Terézia |
| Accelerating Spherical k-Means
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2021 |
Schubert, Erich |
| MESS: Manifold Embedding Motivated Super Sampling
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2021 |
Thordsen, Erik |
| What Makes a Good Movie Recommendation? Feature Selection for Content-Based Filtering
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2021 |
Gawinecki, Maciej |
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