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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

Stochastic Models for Comparison-based Search

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

Smaller, Faster & Lighter KNN Graph Constructions

Sketches, metrics and fast algorithms

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

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

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

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

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