The Effect of Random Projection on Local Intrinsic Dimensionality - Michael Houle
SISAP 2021
The Effect of Random Projection on Local Intrinsic Dimensionality - Michael Houle
26:42
Clustering Adverse Events of COVID-19 Vaccines across the United States - Ahmed Askar
SISAP 2021
Clustering Adverse Events of COVID-19 Vaccines across the United States - Ahmed Askar
22:18
SISAP Adventure introduction to the poster session tool
SISAP 2021
SISAP Adventure introduction to the poster session tool
8:20
Similarity Search for an Extreme Application: Experience & Implementation - Vladimir Mic
SISAP 2021
Similarity Search for an Extreme Application: Experience & Implementation - Vladimir Mic
27:16
Similarity vs. Relevance: From Simple Searches to Complex Discovery - Tomas Skopal
SISAP 2021
Similarity vs. Relevance: From Simple Searches to Complex Discovery - Tomas Skopal
35:15
A Triangle Inequality for Cosine Similarity - Erich Schubert
SISAP 2021
A Triangle Inequality for Cosine Similarity - Erich Schubert
20:44
Accelerating Spherical k-Means - Erich Schubert
SISAP 2021
Accelerating Spherical k-Means - Erich Schubert
24:55
A Cost Model for Reverse Nearest Neighbor Query Processing on R-trees Using Self Pruning - P. Kröger
SISAP 2021
A Cost Model for Reverse Nearest Neighbor Query Processing on R-trees Using Self Pruning - P. Kröger
29:54
Metric Indexing for Graph Similarity Search - Franka Bause
SISAP 2021
Metric Indexing for Graph Similarity Search - Franka Bause
13:47
Indexed Polygon Matching under Similarities - Edgar Chavez
SISAP 2021
Indexed Polygon Matching under Similarities - Edgar Chavez
20:00
Optimizing Fair Approximate Nearest Neighbor Searches using Threaded B+-Trees - Omid Jafari
SISAP 2021
Optimizing Fair Approximate Nearest Neighbor Searches using Threaded B+-Trees - Omid Jafari
22:19
Non-Parametric Semi-Supervised Learning by Bayesian Label Distribution Propagation
SISAP 2021
Non-Parametric Semi-Supervised Learning by Bayesian Label Distribution Propagation
13:42
Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities
SISAP 2021
Handling Class Imbalance in k-Nearest Neighbor Classification by Balancing Prior Probabilities
22:44
FIMSIM: Discovering Communities by Frequent Item-Set Mining and Similarity Search - Jakub Peschel
SISAP 2021
FIMSIM: Discovering Communities by Frequent Item-Set Mining and Similarity Search - Jakub Peschel
20:00
Fairest Neighbors: Tradeoffs Between Metric Queries - Magnus Lie Hetland
SISAP 2021
Fairest Neighbors: Tradeoffs Between Metric Queries - Magnus Lie Hetland
17:09
On Generalizing Permutation-Based Representations for Approximate Search - Lucia Vadicamo
SISAP 2021
On Generalizing Permutation-Based Representations for Approximate Search - Lucia Vadicamo
24:41
Organizing Similarity Spaces using Metric Hulls - Miriama Jánošová
SISAP 2021
Organizing Similarity Spaces using Metric Hulls - Miriama Jánošová
14:10
Towards a Learned Index Structure for Approximate Nearest Neighbor Search Query Processing
SISAP 2021
Towards a Learned Index Structure for Approximate Nearest Neighbor Search Query Processing
16:46
MESS: Manifold Embedding Motivated Super Sampling - Erik Thordsen
SISAP 2021
MESS: Manifold Embedding Motivated Super Sampling - Erik Thordsen
20:00
Relationships between Local Intrinsic Dimensionality and Tail Entropy - James Bailey
SISAP 2021
Relationships between Local Intrinsic Dimensionality and Tail Entropy - James Bailey
19:05
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections - Lucas Gnecco
SISAP 2021
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections - Lucas Gnecco
18:53
What makes a good movie recommendation? Feature selection for Content-Based Filtering – M. Gawinecki
SISAP 2021
What makes a good movie recommendation? Feature selection for Content-Based Filtering – M. Gawinecki
10:51
Graph Embedding in Vector Spaces Using Matching-Graphs - Mathias Fuchs
SISAP 2021
Graph Embedding in Vector Spaces Using Matching-Graphs - Mathias Fuchs
20:22
Local Intrinsic Dimensionality and Graphs: Towards LID-aware Graph Embedding Algorithms
SISAP 2021
Local Intrinsic Dimensionality and Graphs: Towards LID-aware Graph Embedding Algorithms
22:48
Scaling Up Set Similarity Joins Using A Cost-Based Distributed-Parallel Framework - Fabian Fier
SISAP 2021
Scaling Up Set Similarity Joins Using A Cost-Based Distributed-Parallel Framework - Fabian Fier
22:36
Data-driven Learned Metric Index: an Unsupervised Approach - Terka Slanináková
SISAP 2021
Data-driven Learned Metric Index: an Unsupervised Approach - Terka Slanináková
13:48
Structural Intrinsic Dimensionality - Stephane Marchand-Maillet
SISAP 2021
Structural Intrinsic Dimensionality - Stephane Marchand-Maillet
20:14
An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs - Benjamin Paaßen
SISAP 2021
An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs - Benjamin Paaßen
8:02