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相似性搜索与应用:第12届国际会议,SISAP 2019,Newark,NJ,USA,2019年10月2-4日,会议记录-Similarity Search and Applications: 12t

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标题(title):Similarity Search and Applications: 12th International Conference, SISAP 2019, Newark, NJ, USA, October 2–4, 2019, Proceedings
相似性搜索与应用:第12届国际会议,SISAP 2019,Newark,NJ,USA,2019年10月2-4日,会议记录
作者(author):Giuseppe Amato, Claudio Gennaro, Vincent Oria, Miloš Radovanović
出版社(publisher):Springer International Publishing
大小(size):23 MB (24427606 bytes)
格式(extension):pdf
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This book constitutes the refereed proceedings of the 12th International Conference on Similarity Search and Applications, SISAP 2019, held in Newark, NJ, USA, in October 2019.

The 12 full papers presented together with 18 short and 3 doctoral symposium papers were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections named: Similarity Search and Retrieval; The Curse of Dimensionality; Clustering and Outlier Detection; Subspaces and Embeddings; Applications; Doctoral Symposium Papers.


Table of contents :
Front Matter ....Pages i-xix
Front Matter ....Pages 1-1
Fast Locality-Sensitive Hashing Frameworks for Approximate Near Neighbor Search (Tobias Christiani)....Pages 3-17
Storing Data Once in M-tree and PM-tree (Humberto Razente, Maria Camila Nardini Barioni)....Pages 18-31
Index Maintenance Strategy and Cost Model for Extended Cluster Pruning (Anders Munck Højsgaard, Björn Þór Jónsson, Philippe Bonnet)....Pages 32-39
SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search (Lucia Vadicamo, Richard Connor, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti)....Pages 40-48
Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines (Cun (Matthew) Mu, Jun (Raymond) Zhao, Guang Yang, Binwei Yang, Zheng (John) Yan)....Pages 49-56
k-Distance Approximation for Memory-Efficient RkNN Retrieval (Max Berrendorf, Felix Borutta, Peer Kröger)....Pages 57-71
Pruning Algorithms for Low-Dimensional Non-metric k-NN Search: A Case Study (Leonid Boytsov, Eric Nyberg)....Pages 72-85
Non-metric Similarity Search Using Genetic TriGen (David Bernhauer, Tomáš Skopal)....Pages 86-93
Privacy–Preserving Text Similarity via Non-Prefix-Free Codes (M. Oğuzhan Külekci, Ismail Habib, Amir Aghabaiglou)....Pages 94-102
Explainable Similarity of Datasets Using Knowledge Graph (Petr Škoda, Jakub Klímek, Martin Nečaský, Tomáš Skopal)....Pages 103-110
Front Matter ....Pages 111-111
The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search (Martin Aumüller, Matteo Ceccarello)....Pages 113-127
Accurate and Fast Retrieval for Complex Non-metric Data via Neighborhood Graphs (Leonid Boytsov, Eric Nyberg)....Pages 128-142
Indexability-Based Dataset Partitioning (Angello Hoyos, Ubaldo Ruiz, Stephane Marchand-Maillet, Edgar Chávez)....Pages 143-150
Permutation’s Signatures for Proximity Searching in Metric Spaces (Karina Figueroa, Nora Reyes)....Pages 151-159
A k–Skyband Approach for Feature Selection (Marcos Bedo, Paolo Ciaccia, Davide Martinenghi, Daniel de Oliveira)....Pages 160-168
Front Matter ....Pages 169-169
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms (Erich Schubert, Peter J. Rousseeuw)....Pages 171-187
MORe++: k-Means Based Outlier Removal on High-Dimensional Data (Anna Beer, Jennifer Lauterbach, Thomas Seidl)....Pages 188-202
A Generic Summary Structure for Arbitrarily Oriented Subspace Clustering in Data Streams (Felix Borutta, Peer Kröger, Thomas Hubauer)....Pages 203-211
Similarity Grouping in Big Data Systems (Yasin N. Silva, Manuel Sandoval, Diana Prado, Xavier Wallace, Chuitian Rong)....Pages 212-220
SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge (Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, Thomas Seidl)....Pages 221-230
Front Matter ....Pages 231-231
Query Filtering with Low-Dimensional Local Embeddings (Edgar Chávez, Richard Connor, Lucia Vadicamo)....Pages 233-246
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis (Tahrima Hashem, Lida Rashidi, James Bailey, Lars Kulik)....Pages 247-264
Metric Embedding into the Hamming Space with the n-Simplex Projection (Lucia Vadicamo, Vladimir Mic, Fabrizio Falchi, Pavel Zezula)....Pages 265-272
On coMADs and Principal Component Analysis (Daniyal Kazempour, M. A. X. Hünemörder, Thomas Seidl)....Pages 273-280
Subspace Determination Through Local Intrinsic Dimensional Decomposition (Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek)....Pages 281-289
Front Matter ....Pages 291-291
Leveraging Feature Similarity for Earlier Detection of Unwanted Feature Interactions in Evolving Software Product Lines (Seyedehzahra Khoshmanesh, Robyn R. Lutz)....Pages 293-307
Protein Complex Similarity Based on Weisfeiler-Lehman Labeling (Bianca K. Stöcker, Till Schäfer, Petra Mutzel, Johannes Köster, Nils Kriege, Sven Rahmann)....Pages 308-322
Multiple Instance Classification in the Image Domain (Ilaria Bartolini, Pietro Pascarella, Marco Patella)....Pages 323-331
An Image Retrieval System for Video (Paolo Bolettieri, Fabio Carrara, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Lucia Vadicamo et al.)....Pages 332-339
Towards Automatic Configuration of Interactive Known-Item Search Systems (Ladislav Peška, Gregor Kovalčík, Jakub Lokoč)....Pages 340-347
Front Matter ....Pages 349-349
ADAMiSS: Advanced Data Analysis, Mining and Search, System (Jakub Peschel, Pavel Zezula)....Pages 351-355
Feature Similarity: A Method to Detect Unwanted Feature Interactions Earlier in Software Product Lines (Seyedehzahra Khoshmanesh, Robyn R. Lutz)....Pages 356-361
Back Matter ....Pages 363-364
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