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Distributed Similarity Search in High Dimensions Using Locality Sensitive Hashing

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Stochastic Models for Comparison-based Search

Daniyar Chumbalov

In this thesis we study a problem of searching in a space of objects using comparisons. To navigate through the space to the target object

t

, we ask a sequence of questions of the form ``which object

i

j

is closer to

t

?'' for which we observe no ...

EPFL2023

Distributed Similarity Search in High Dimensions Using Locality Sensitive Hashing

Graph Chatbot

Chattez avec Graph Search

Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets

Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine

Stochastic Models for Comparison-based Search

Sketches, metrics and fast algorithms

How not to get lost in the quest to publish an Open Access article?

Simulation Tool : Resources Management in High Performance Avionic for ADR Missions

Tests of mutual independence among several random vectors using univariate and multivariate ranks of nearest neighbours

Smaller, Faster & Lighter KNN Graph Constructions

Requirements Elicitation with a Service Canvas for Packaged Enterprise Systems

HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces

Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets

Stochastic Models for Comparison-based Search

Sketches, metrics and fast algorithms

Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine

How not to get lost in the quest to publish an Open Access article?

Simulation Tool : Resources Management in High Performance Avionic for ADR Missions

Smaller, Faster & Lighter KNN Graph Constructions

Requirements Elicitation with a Service Canvas for Packaged Enterprise Systems

Tests of mutual independence among several random vectors using univariate and multivariate ranks of nearest neighbours

HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces