SISAP 2019 Detailed Program
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Tuesday October 1 (EBER 112)- Day 1 | |
---|---|
15:00-18:00 | Registration |
Wednesday October 2 (EBER 112)- Day 2 | |
7:30-8:30 | Continental Breakfast & Registration |
8:30-9:00 | Opening Remarks |
9:00-10:30 | Keynote 1: On Similarity Measures in Recommender Systems
Alexander Tuzhilin (New York Univerity, USA) (chair: Vincent Oria, NJIT, USA) |
10:30-11:00 | Coffee Break |
11:00-13:00 | Research Session 1: Similarity Search and Retrieval 1
(chair: Leonid Boytsov, Carnegie Mellon University, USA) |
13:00-14:00 | Lunch Break |
14:00-15:30 | Keynote 2: Applications of Similarity Search to Socially Relevant Problems
Fabrizio Silvestri (Facebook, UK) (chair: Giuseppe Amato, CNR, Italy) |
15:30-16:00 | Coffee Break |
16:00-18:20 | Research Session 2: Similarity Search and Retrieval 2
(chair: Humberto Luiz Razente, Federal University of Uberlândia, Brazil) |
19:00-21:00 | Conference Reception and Posters (CTR ballroom and gallery) |
Thursday October 3 (CKB L-70 Agile strategy Lab) | |
8:00-9:30 | Continental Breakfast & Registration |
9:30-10:30 | Keynote 3: Document Association for Online Information Quality
Cong Yu (Google Research) (chair: Björn Þór Jónsson, IT University of Copenhagen, Denmark) |
10:30-11:00 | Coffee Break |
11:00-13:00 | Research Session 3: Similarity Applications
(chair: Richard Connor, University of Stirling, Scotland) |
13:00-14:00 | Lunch Break |
14:00-15:00 | Panel: Deep Learning meets Similarity Search Moderator Selçuk Candan (Arizona State University, USA) Panelists: James Bailey (University of Melbourne, Australia), Ilaria Bartolini (University of Bologna, Italy), Michael Houle (National Institute of Informatics, Japan) and Stephane Marchand-Mallet (University of Geneva, Switzerland) |
15:00-15:30 | Coffee Break |
15:30-16:30 | Doctoral Symposium
(chair: Ilaria Bartolini, University of Bologna, Italy) |
16:45-18:00 | Highlight Tour of the Newark Museum |
18:00-21:00 | Conference Banquet Newark Museum |
Friday October 4 (EBER 112) | |
8:00-9:00 | Continental Breakfast |
9:00-10:30 | Research Session 4: Dealing with the Curse of Dimensionality
(chair: Miloš Radovanović, University of Novi Sad, Serbia) |
10:30-11:00 | Coffee Break |
11:00-13:00 | Research Session 5: Clustering and Outlier Detection (chair: James Bailey, University of Melbourne, Australia) |
13:00-14:00 | Lunch Break |
14:00-16:00 | Research Session 6: Subspaces and Embeddings (chair: Erich Schubert, Technical University of Dortmund, Germany) |
16:00-16:30 | Coffee Break |
16:30-17:30 | Conference Closing |
Research Session 1: Similarity Search and Retrieval 1 [Wednesday October 2nd, 11:00-13:00]
- Fast Locality-Sensitive Hashing Frameworks for Approximate Near Neighbor Search
[11:00-11:30]
Tobias Christiani (IT University of Copenhagen, Denmark)
- Storing Data Once in M-tree and PM-tree
[11:30-12:00]
Humberto Luiz Razente (Federal University of Uberlândia (UFU), Brazil) and Maria Camila Nardini Barioni (Federal University of Uberlândia (UFU), Brazil)
- Index Maintenance Strategy and Cost Model for Extended Cluster Pruning
[12:00-12:20]
Anders Munck Højsgaard (IT University of Copenhagen, Denmark), Björn Þór Jónsson (IT University of Copenhagen, Denmark) and Philippe Bonnet (IT University of Copenhagen, Denmark)
- SPLX-Perm: A Novel Permutation-Based Representation for Approximate Metric Search
[12:20-12:40]
Lucia Vadicamo (Italian National Research Council (CNR), Italy), Richard Connor (University of Stirling, Scotland), Fabrizio Falchi (Italian National Research Council (CNR), Italy), Claudio Gennaro (Italian National Research Council (CNR), Italy), and Fausto Rabitti (Italian National Research Council (CNR), Italy)
- Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines
[12:40-13:00]
Cun Mu(Jet.com/Walmart Labs, USA), Jun Zhao(Jet.com/Walmart Labs, USA), Guang Yang (Jet.com/Walmart Labs, USA), Binwei Yang (Walmart Labs, Sunnyvale, USA) and Zheng Yan (Jet.com/Walmart Labs, USA)
Research Session 2: Similarity Search and Retrieval 2 [Wednesday October 2nd, 16:00-18:20]
- k-Distance Approximation for Memory-Efficient RkNN Retrieval
[16:00-16:30]
Max Berrendorf (Ludwig Maximilian University (LMU), Germany), Felix Borutta (Ludwig Maximilian University (LMU), Germany) and Peer Kröger (Ludwig Maximilian University (LMU), Germany
- Pruning Algorithms for Low-Dimensional Non-Metric k-NN Search: A Case Study
[16:30-17:00]
Leonid Boytsov (Carnegie Mellon University, USA) and Eric Nyberg (Carnegie Mellon University, USA)
- Accurate and Fast Retrieval for Complex Non-Metric Data via Neighborhood Graphs
[17:00-17:20]
Leonid Boytsov (Carnegie Mellon University, USA) and Eric Nyberg (Carnegie Mellon University, USA)
- Non-metric Similarity Search Using Genetic TriGen
[17:20-17:40 PM]
David Bernhauer (Czech Technical University and Charles University, Czech Republic) and Tomas Skopal (Charles University, Czech Republic)
- Privacy–Preserving Text Similarity via Non-Prefix-Free Codes
[17:40-18:00]
M. Oguzhan Kulekci (Istanbul Technical University, Turkey), Ismail Habib (Istanbul Technical University, Turkey) and Amir Aghabaioglou (Istanbul Technical University, Turkey)
- Explainable Similarity of Datasets using Knowledge Graph
[18:00-18:20]
Petr Skoda (Charles University, Czech Republic), Jakub Klimek (Charles University, Czech Republic), Martin Necasky (Charles University, Czech Republic), and Tomas Skopal (Charles University, Czech Republic)
Research Session 3: Similarity Applications [Thursday October 3rd, 11:00-13:00]
- Leveraging Feature Similarity for Earlier Detection of Unwanted Feature Interactions in Evolving Software Product Lines
[11:00-11:30]
Seyedehzahra Khoshmanesh (Iowa State University, USA) and Robyn Lutz (Iowa State University, USA)
- Protein Complex Similarity Based on Weisfeiler-Lehman Labeling
[11:30-12:00]
Bianca Stöcker (University of Duisburg-Essen, Germany), Till Schäfer (Technical University of Dortmund, Germany) Petra Mutzel (Technical University of Dortmund, Germany), Johannes Köster (University of Duisburg-Essen, Germany and Harvard Medical School, USA), Nils Krieg (University of Duisburg-Essen, Germany) and Sven Rahmann (University of Duisburg-Essen, Germany)
- A Generic Summary Structure for Arbitrarily Oriented Subspace Clustering in Data Streams
[12:00 PM-12:20]
Felix Borutta (Ludwig Maximilian University (LMU), Germany), Peer Kröger (Ludwig Maximilian University (LMU), Germany) and Thomas Hubauer (Siemens Corporate Technology, Germany
- An Image Retrieval System for Video
[12:20-12:40]
Paolo Bolettieri (Italian National Research Council (CNR), Italy), Fabio Carrara (Italian National Research Council (CNR), Italy), Franca Debole (Italian National Research Council (CNR), Italy ), Fabrizio Falchi (Italian National Research Council (CNR), Italy ), Claudio Gennaro (Italian National Research Council (CNR), Italy), Lucia Vadicamo (Italian National Research Council (CNR), Italy ) and Claudio Vairo (Italian National Research Council (CNR), Italy)
- Towards automatic configuration of interactive known-item search systems
[12:40-13:00]
Ladislav Peska (Charles University, Prague, Czech Republic and ELTE Budapest Hungary), Gregor Kovalcik (Charles University, Czech Republic) and Jakub Lokoc (Charles University, Czech Republic)
Research Session 4: Dealing with the Curse of Dimensionality [Friday October 4th, 9:00-10:30]
- The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search
[9:00-9:30]
Martin Aumüller (IT University of Copenhagen, Denmark) and Matteo Ceccarello (IT University of Copenhagen, Copenhagen, Denmark)
- Indexability-Based Dataset Partitioning
[9:30-9:50]
Angello Hoyos (Center for Scientific Research and Higher Education (CICESE), Mexico) Ubaldo Ruiz (Center for Scientific Research and Higher Education (CICESE), Mexico), Stephane Marchand-Maillet (University of Geneva, Switzerland) and Edgar Chávez (Center for Scientific Research and Higher Education (CICESE), Mexico)
- Permutation’s Signatures for Proximity Searching in Metric Spaces
[9:50-10:10]
Karina Figueroa (Michoacan University of Saint Nicholas of Hidalgo, Mexico) and Nora Reyes (National University of San Luis, Argentina)
- A k-Skyband Approach for Feature Selection
[10:10-10:30]
Marcos Bedo (Fluminense Federal University, Brazil), Paolo Ciaccia (University of Bologna, Italy), Davide Martinenghi (Polytechnic University of Milan, Italy) and Daniel Oliveira (Fluminense Federal University, Brazil)
Research Session 5: Clustering and Outlier Detection [Friday October 4th, 11:00-13:00]
- Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms
[11:00-11:30]
Erich Schubert (Technical University of Dortmund, Germany) and Peter Rousseeuw (KU Leuven, Leuven, Belgium)
- MORe++: k-Means based Outlier Removal on High-Dimensional Data
[11:30-12:00]
Anna Beer (Ludwig Maximilian University (LMU), Germany), Jennifer (Ludwig Maximilian University (LMU), Germany) and Thomas Seidl (Ludwig Maximilian University (LMU), Germany)
- Multiple Instance Classification in the Image Domain
[12:00-12:20]
Ilaria Bartolini (University of Bologna, Italy), Pietro Pascarella (University of Bologna, Italy) and Marco Patella (University of Bologna, Italy)
- Similarity Grouping in Big Data Systems
[12:20-12:40]
Yasin Silva (Arizona State University, USA), Manuel Sandoval (Arizona State University, USA), Diana Prado (Arizona State University, USA), Xavier Wallace (Arizona State University, USA ) and Chuitian Rong (Tianjin Polytechnic University, China)
- SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge
[12:40-13:00]
Maximilian Archimedes Xaver Hünemörder (Ludwig Maximilian University (LMU),Germany), Daniyal Kazempour (Ludwig Maximilian University (LMU), Germany), Peer Peer Kröger (Ludwig Maximilian University (LMU), Germany) and Thomas Seidl (Ludwig Maximilian University (LMU), Germany)
Research Session 6: Subspaces and Embeddings [Friday October 4th, 14:00-16:00]
- Query Filtering with Low-Dimensional Local Embeddings
[14:00-14:30]
Edgar Chávez (Center for Scientific Research and Higher Education (CICESE), Mexico), Richard Connor (University of Stirling, Scotland) and Lucia Vadicamo (Italian National Research Council (CNR), Italy)
- Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis
[14:30-15:00]
Tahrima Hashem (University of Melbourne, Australia), Lida Rashidi (University of Melbourne, Australia ), James Bailey (University of Melbourne, Australia ) and Lars Kulik (University of Melbourne, Australia )
- Metric Embedding into the Hamming Space with the n-Simplex Projection
[15:00-15:20]
Lucia Vadicamo (Italian National Research Council (CNR), Italy), Vladimir Mic (Masaryk University, Czech Republic), Fabrizio Falchi (Italian National Research Council (CNR), Italy) and Pavel Zezula (Masaryk University, Czech Republic)
- On coMADs and Principal Component Analysis
[15:20-15:40]
Daniyal Kazempour (Ludwig Maximilian University (LMU), Germany) and Thomas Seidl (Ludwig Maximilian University (LMU), Germany)
- Subspace Determination through Local Intrinsic Dimensional Decomposition
[15:40-16:00]
Ruben Becker (Gran Sasso Science Institute, L’Aquila, Italy), Imane Hafnaoui (Ecole Polytechnique de Montreal, Montreal, Montreal, Canada), Michael E. Houle (National Institute of Informatics, Tokyo, Japan), Pan Li (Saarland University, Germany) and Arthur Zimek (University of Southern Denmark, Denmark)
Doctoral Symposium [Thursday October 3rd, 15:30-16:30]
- ADAMiSS: Advanced Data Analysis, Mining and Search, System
[15:30-16:00]
Jakub Peschel (Masaryk University, Czech Republic)
- Feature Similarity: A Method to Detect Unwanted Feature Interactions Earlier in Software Product Lines
[16:00-16:30]
Seyedehzahra Khoshmanesh (Iowa State University, USA)