Accepted Papers
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On Competitiveness of Nearest-Neighbor Based Music Classification: A Methodological Critique
Haukur Pálmason, Björn Þór Jónsson, Laurent Amsaleg, Markus Schedl and Peter Knees
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Scalable Similarity Search for Molecular Descriptors
Yasuo Tabei and Simon Puglisi
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Sketches with Unbalanced Bits for Similarity Search
Vladimir Mic, David Novak and Pavel Zezula
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The Power of Distance Distributions: Cost Models and Scheduling Policies for Quality-Controlled Similarity Queries
Paolo Ciaccia and Marco Patella
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Cache and Priority Queue Based Approximation Technique for a Stream of Similarity Search Queries
Filip Nálepa, Michal Batko and Pavel Zezula
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DS-Prox: Dataset Proximity Mining for Governing the Data Lake
Ayman Alserafi, Toon Calders, Alberto Abello and Oscar Romero
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DeepBrowse: Similarity-based Browsing through Large Lists
Haochen Chen, Arvind Ram Anantharam and Steven Skiena
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Dynamic Time Warping and The (Windowed) Dog-Keeper Distance
Jörg Bachmann and Johann-Christoph Freytag
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Self-indexed Motion Planning
Angello Hoyos, Ubaldo Ruiz, Eric S. Tellez and Edgar Chavez
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Good and Bad Neighborhood Approximations for Outlier Detection Ensembles
Evelyn Kirner, Erich Schubert and Arthur Zimek
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Local Intrinsic Dimensionality I: An Extreme-Value-Theoretic Foundation for Similarity Applications
Michael E. Houle
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Local Intrinsic Dimensionality II: Multivariate Analysis and Distributional Support
Michael E. Houle
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Fast Similarity Search with the Earth Mover's Distance via Feasible Initialization and Pruning
Merih Seran Uysal, Kai Driessen, Tobias Brockhoff and Thomas Seidl
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High-Dimensional Simplexes for Supermetric Search
Richard Connor, Lucia Vadicamo and Fausto Rabitti
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A New Perspective on the Tree Edit Distance
Stefan Schwarz, Mateusz Pawlik and Nikolaus Augsten
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Malware discovery using behaviour-based exploration of network traffic
Jakub Lokoc, Tomas Grosup, Premysl Cech, Tomas Pevny and Tomas Skopal
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Practical Space-efficient Data Structures for High-dimensional Orthogonal Range Searching
Kazuki Ishiyama and Kunihiko Sadakane
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Visual Analytics and Similarity Search: Concepts and Challenges for Effective Retrieval Considering Users, Tasks, and Data
Daniel Seebacher, Johannes Häußler, Manuel Stein, Halldor Janetzko, Tobias Schreck and Daniel Keim
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Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection: A Remedy Against the Curse of Dimensionality?
Erich Schubert and Michael Gertz
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A Benchmarking Tool for Approximate Nearest Neighbor Algorithms
Martin Aumüller, Erik Bernhardsson and Alexander Faithfull: ANN-Benchmarks
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Semantic Similarity Group By Operators for Metric Data
Natan A. Laverde, Agma Traina, Caetano Traina and Mirela T. Cazzolato
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Succinct Quadtrees for Road Data
Kazuki Ishiyama, Koji M. Kobayashi and Kunihiko Sadakane
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Improving k-NN Graph Accuracy using Local Intrinsic Dimensionality
Michael E. Houle, Vincent Oria and Arwa Wali
