| On the Problem of p in Locality-Sensitive Hashing
|
2020 |
Ahle, Thomas Dybdahl |
| Continuous Similarity Search for Evolving Database
|
2020 |
Koga, Hisashi |
| Sampled Angles in High-Dimensional Spaces
|
2020 |
Connor, Richard |
| Analysing Indexability of Intrinsically High-Dimensional Data Using TriGen
|
2020 |
Bernhauer, David |
| Using a Set of Triangle Inequalities to Accelerate K-means Clustering
|
2020 |
Yu, Qiao |
| SIR: Similar Image Retrieval for Product Search in E-Commerce
|
2020 |
Stanley, Theban |
| Learning Distance Estimators from Pivoted Embeddings of Metric Objects
|
2020 |
Carrara, Fabio |
| Relational Visual-Textual Information Retrieval
|
2020 |
Messina, Nicola |
| Parallelizing Filter-Verification Based Exact Set Similarity Joins on Multicores
|
2020 |
Fier, Fabian |
| Optimal Metric Search Is Equivalent to the Minimum Dominating Set Problem
|
2020 |
Hetland, Magnus Lie |
| Similarity Between Points in Metric Measure Spaces
|
2020 |
Dantsin, Evgeny |
| Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values
|
2020 |
Rodrigues, Lucas Santiago |
| Local Intrinsic Dimensionality III: Density and Similarity
|
2020 |
Houle, Michael E. |
| BETULA: Numerically Stable CF-Trees for BIRCH Clustering
|
2020 |
Lang, Andreas |
| Accelerating Metric Filtering by Improving Bounds on Estimated Distances
|
2020 |
Mic, Vladimir |
| Confirmation Sampling for Exact Nearest Neighbor Search
|
2020 |
Christiani, Tobias |
| Some Branches May Bear Rotten Fruits: Diversity Browsing VP-Trees
|
2020 |
Jasbick, Daniel |
| GTT: Guiding the Tensor Train Decomposition
|
2020 |
Li, Mao-Lin |
| ABID: Angle Based Intrinsic Dimensionality
|
2020 |
Thordsen, Erik |
| Noise Adaptive Tensor Train Decomposition for Low-Rank Embedding of Noisy Data
|
2020 |
Li, Xinsheng |
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