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12th SISAP 2019: Newark, NJ, USA
- Giuseppe Amato, Claudio Gennaro, Vincent Oria, Milos Radovanovic:
Similarity Search and Applications - 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2-4, 2019, Proceedings. Lecture Notes in Computer Science 11807, Springer 2019, ISBN 978-3-030-32046-1
Similarity Search and Retrieval
- Tobias Christiani:
Fast Locality-Sensitive Hashing Frameworks for Approximate Near Neighbor Search. 3-17 - Humberto Luiz Razente
, Maria Camila Nardini Barioni
Storing Data Once in M-tree and PM-tree. 18-31 - Anders Munck Højsgaard, Björn Þór Jónsson, Philippe Bonnet
Index Maintenance Strategy and Cost Model for Extended Cluster Pruning. 32-39 - Lucia Vadicamo
SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search. 40-48 - Cun Matthew Mu, Jun Raymond Zhao, Guang Yang, Binwei Yang, Zheng John Yan:
Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines. 49-56 - Max Berrendorf
k-Distance Approximation for Memory-Efficient RkNN Retrieval. 57-71 - Leonid Boytsov, Eric Nyberg:
Pruning Algorithms for Low-Dimensional Non-metric k-NN Search: A Case Study. 72-85 - David Bernhauer
Non-metric Similarity Search Using Genetic TriGen. 86-93 - M. Oguzhan Külekci
Privacy-Preserving Text Similarity via Non-Prefix-Free Codes. 94-102 - Petr Skoda
Explainable Similarity of Datasets Using Knowledge Graph. 103-110
The Curse of Dimensionality
- Martin Aumüller
The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. 113-127 - Leonid Boytsov, Eric Nyberg:
Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs. 128-142 - Angello Hoyos, Ubaldo Ruiz
Indexability-Based Dataset Partitioning. 143-150 - Karina Figueroa
Permutation's Signatures for Proximity Searching in Metric Spaces. 151-159 - Marcos V. N. Bedo, Paolo Ciaccia
A k-Skyband Approach for Feature Selection. 160-168
Clustering and Outlier Detection
- Erich Schubert
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. 171-187 - Anna Beer
MORe++: k-Means Based Outlier Removal on High-Dimensional Data. 188-202 - Felix Borutta, Peer Kröger, Thomas Hubauer:
A Generic Summary Structure for Arbitrarily Oriented Subspace Clustering in Data Streams. 203-211 - Yasin N. Silva, Manuel Sandoval, Diana Prado, Xavier Wallace, Chuitian Rong:
Similarity Grouping in Big Data Systems. 212-220 - Maximilian Archimedes Xaver Hünemörder
SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. 221-230
Subspaces and Embeddings
- Edgar Chávez, Richard Connor, Lucia Vadicamo
Query Filtering with Low-Dimensional Local Embeddings. 233-246 - Tahrima Hashem
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. 247-264 - Lucia Vadicamo
Metric Embedding into the Hamming Space with the n-Simplex Projection. 265-272 - Daniyal Kazempour, Max Hünemörder
On coMADs and Principal Component Analysis. 273-280 - Ruben Becker
Subspace Determination Through Local Intrinsic Dimensional Decomposition. 281-289
Applications
- Seyedehzahra Khoshmanesh
Leveraging Feature Similarity for Earlier Detection of Unwanted Feature Interactions in Evolving Software Product Lines. 293-307 - Bianca K. Stöcker
Protein Complex Similarity Based on Weisfeiler-Lehman Labeling. 308-322 - Ilaria Bartolini, Pietro Pascarella, Marco Patella:
Multiple Instance Classification in the Image Domain. 323-331 - Paolo Bolettieri, Fabio Carrara
An Image Retrieval System for Video. 332-339 - Ladislav Peska
Towards Automatic Configuration of Interactive Known-Item Search Systems. 340-347
Doctoral Symposium Papers
- Jakub Peschel, Pavel Zezula:
ADAMiSS: Advanced Data Analysis, Mining and Search, System. 351-355 - Seyedehzahra Khoshmanesh
Feature Similarity: A Method to Detect Unwanted Feature Interactions Earlier in Software Product Lines. 356-361
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