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ORCID10. SISAP 2017: Munich, Germany
- Christian Beecks, Felix Borutta, Peer Kröger, Thomas Seidl:
Similarity Search and Applications - 10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings. Lecture Notes in Computer Science 10609, Springer 2017, ISBN 978-3-319-68473-4
Approximate Similarity Search
- Paolo Ciaccia
, Marco Patella:
The Power of Distance Distributions: Cost Models and Scheduling Policies for Quality-Controlled Similarity Queries. 3-16 - Filip Nalepa, Michal Batko, Pavel Zezula:
Cache and Priority Queue Based Approximation Technique for a Stream of Similarity Search Queries. 17-33 - Martin Aumüller, Erik Bernhardsson, Alexander John Faithfull:
ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms. 34-49
Improving Similarity Search Methods and Applications
- Vladimir Mic, David Novak, Pavel Zezula:
Sketches with Unbalanced Bits for Similarity Search. 53-63 - Michael E. Houle:
Local Intrinsic Dimensionality I: An Extreme-Value-Theoretic Foundation for Similarity Applications. 64-79 - Michael E. Houle:
Local Intrinsic Dimensionality II: Multivariate Analysis and Distributional Support. 80-95 - Richard Connor, Lucia Vadicamo, Fausto Rabitti:
High-Dimensional Simplexes for Supermetric Search. 96-109 - Michael E. Houle, Vincent Oria, Arwa M. Wali:
Improving k-NN Graph Accuracy Using Local Intrinsic Dimensionality. 110-124
Distances for Complex Objects
- Jörg P. Bachmann, Johann-Christoph Freytag:
Dynamic Time Warping and the (Windowed) Dog-Keeper Distance. 127-140 - Merih Seran Uysal, Kai Driessen, Tobias Brockhoff, Thomas Seidl:
Fast Similarity Search with the Earth Mover's Distance via Feasible Initialization and Pruning. 141-155 - Stefan Schwarz, Mateusz Pawlik, Nikolaus Augsten:
A New Perspective on the Tree Edit Distance. 156-170
Outlier Detection
- Evelyn Kirner, Erich Schubert, Arthur Zimek:
Good and Bad Neighborhood Approximations for Outlier Detection Ensembles. 173-187 - Erich Schubert, Michael Gertz:
Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection - A Remedy Against the Curse of Dimensionality? 188-203
Indexing and Applications
- Yasuo Tabei, Simon J. Puglisi:
Scalable Similarity Search for Molecular Descriptors. 207-219 - Angello Hoyos, Ubaldo Ruiz, Eric Sadit Tellez, Edgar Chávez:
Self-indexed Motion Planning. 220-233 - Kazuki Ishiyama, Kunihiko Sadakane:
Practical Space-Efficient Data Structures for High-Dimensional Orthogonal Range Searching. 234-246 - Natan A. Laverde, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina Jr.:
Semantic Similarity Group By Operators for Metric Data. 247-261 - Kazuki Ishiyama, Koji Kobayashi, Kunihiko Sadakane:
Succinct Quadtrees for Road Data. 262-272
Applications and Specific Domains
- Haukur Pálmason, Björn Þór Jónsson, Laurent Amsaleg, Markus Schedl, Peter Knees:
On Competitiveness of Nearest-Neighbor-Based Music Classification: A Methodological Critique. 275-283 - Ayman Alserafi, Toon Calders, Alberto Abelló, Oscar Romero:
DS-Prox: Dataset Proximity Mining for Governing the Data Lake. 284-299 - Haochen Chen, Arvind Ram Anantharam, Steven Skiena:
DeepBrowse: Similarity-Based Browsing Through Large Lists (Extended Abstract). 300-314 - Jakub Lokoc, Tomás Grosup, Premysl Cech, Tomás Pevný, Tomás Skopal:
Malware Discovery Using Behaviour-Based Exploration of Network Traffic. 315-323 - Daniel Seebacher, Johannes Häußler, Manuel Stein, Halldor Janetzko, Tobias Schreck, Daniel A. Keim:
Visual Analytics and Similarity Search: Concepts and Challenges for Effective Retrieval Considering Users, Tasks, and Data. 324-332
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