SISAP 2020: Accelerating Metric Filtering by Improving Bounds on Estimated Distances

(25:1econd)

SISAP 2020: Confirmation Sampling for Exact Nearest Neighbor Search

(24:57)

SISAP 2020: Running experiments with confidence and sanity

(24:43)

SISAP 2020: ABID: Angle Based Intrinsic Dimensionality

(24:28)

SISAP 2020: Cross-Resolution deep features based Image Search

(11:54)

SISAP 2020, Keynote: Interactive Exploration using Hypergraphs

(52:1econd)

SISAP 2020: mmLSH: A Practical and Efficient Technique for Processing Approximate Nearest Neigh...

(17:16)

SISAP 2020: Local Intrinsic Dimensionality III: Density and Similarity

(22:)

SISAP 2020: Learning Distance Estimators from Pivoted Embeddings of Metric Objects

(15:3)

SISAP 2020, Keynote: Scalable Nearest Neighbor Search for Optimal Transport

(57:14)

SISAP 2020: Similarity Search with Tensor Core Units

(20:47)

SISAP 2020: Improving Locality Sensitive Hashing by Efficiently Finding Projected Nearest Neighbors

(21:27)

SISAP 2020: Analysing Indexability of Intrinsically High-dimensional Data using TriGen

(9:31)

SISAP 2020: Relational Visual-Textual Information Retrieval

(19:31)

SISAP 2020: Temporal Similarity of Trajectories in Graphs

(20:2)

SISAP 2020: Sampled Angles in High-Dimensional Spaces

(24:58)

Introduction to Gather.town at SISAP 2020

(5:28)

SISAP 2020: Pivot Selection for Narrow Sketches by Optimization Algorithms

(16:53)

SISAP 2020: Differentially Private Sketches for Jaccard Similarity Estimation

(23:4)