Organizing Similarity Spaces Using Metric Hulls
|
2021 |
Jánošová, Miriama |
How Many Neighbours for Known-Item Search?
|
2021 |
Lokoč, Jakub |
Structural Intrinsic Dimensionality
|
2021 |
Marchand-Maillet, Stephane |
Metric Indexing for Graph Similarity Search
|
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
|
2021 |
Scarrone, Fabrizio |
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 |
Scaling Up Set Similarity Joins Using a Cost-Based Distributed-Paralle Framework
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2021 |
Fier, Fabian |
On Generalizing Permutation-Based Representations for Approximate Search
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2021 |
Vadicamo, Lucia |
Similarity vs. Relevance: From Simple Searches to Complex Discovery
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2021 |
Skopal, Tomáš |
Optimizing Fair Approximate Nearest Neighbor Searches Using Threaded B+ Trees
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2021 |
Jafari, Omid |
Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation
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2021 |
Gottcke, Jonatan Mgaller Nuutinen |