Publications related to Hierarchical clustering

Spherical Clustering of Users Navigating 360° Content

Pascal Frossard, Francesca De Simone, Laura Toni

In Virtual Reality (VR) applications, understanding how users explore the omnidirectional content is important to optimize content creation, to develop user-centric services, or even to detect disorders in medical applications. Clustering users based on th ...

IEEE2019

Assessing spatial temporal patterns of ecosystem services in Switzerland

Jérôme Chenal, Martí Bosch Padrós, Rémi Jaligot

Despite the importance of understanding the historical dynamics of ecosystem services (ES), littleresearch has focused on a historical, spatially explicit, assessment of ES supply. This research is aimed at understanding the spatial patterns and potential ...

2019

Consistent Tomography Under Partial Observations Over Adaptive Networks

Ali H. Sayed

This paper studies the problem of inferring whether an agent is directly influenced by another agent over a network. Agent i influences agent j if they are connected (according to the network topology), and if agent j uses the data from agent i to update i ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Euclid preparation III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection

Gianluca Castignani, Marina Ricci

Galaxy cluster counts in bins of mass and redshift have been shown to be a competitive probe to test cosmological models. This method requires an efficient blind detection of clusters from surveys with a well-known selection function and robust mass estima ...

EDP Sciences2019

Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support

François Maréchal, Nils Christian Schüler, Sébastien Cajot

Interactive optimization methods are particularly suited for letting human decision makers learn about a problem, while a computer learns about their preferences to generate relevant solutions. For interactive optimization methods to be adopted in practice ...

2019

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint

Pascal Frossard, Mireille El Gheche, Giovanni Chierchia

In this paper, we propose a scalable algorithm for spectral embedding. The latter is a standard tool for graph clustering. However, its computational bottleneck is the eigendecomposition of the graph Laplacian matrix, which prevents its application to larg ...

IEEE2019

A machine learning approach for power gating the FPGA routing network

Mirjana Stojilovic, Hossein Asadi

Power gating is a common approach for reducing circuit static power consumption. In FPGAs, resources that dominate static power consumption lie in the routing network. Researchers have proposed several heuristics for clustering multiplexers in the routing ...

IEEE COMPUTER SOC2019

Clusters and Nanocrystals

Christoph Bostedt, Daniela Rupp

Clusters and nanocrystals constitute intermediates between molecules and condensed matter. Due to their finite size, clusters have a wide spectrum of applications ranging from building blocks for novel materials to model systems for fundamental investigati ...

Springer2019

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Hierarchical clustering

Spherical Clustering of Users Navigating 360° Content

Assessing spatial temporal patterns of ecosystem services in Switzerland

Consistent Tomography Under Partial Observations Over Adaptive Networks

Euclid preparation III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection

Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint

Feature Learning of Virus Genome Evolution With the Nucleotide Skip-Gram Neural Network

A machine learning approach for power gating the FPGA routing network

Clusters and Nanocrystals

The search for multiple populations in Magellanic Clouds clusters - V. Correlation between cluster age and abundance spreads

Graph Chatbot

Chat with Graph Search

Spherical Clustering of Users Navigating 360° Content

Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support

Assessing spatial temporal patterns of ecosystem services in Switzerland

Consistent Tomography Under Partial Observations Over Adaptive Networks

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint

A machine learning approach for power gating the FPGA routing network

The search for multiple populations in Magellanic Clouds clusters - V. Correlation between cluster age and abundance spreads

Euclid preparation III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection

Clusters and Nanocrystals