Publications associées à EPnP: An Accurate O(n) Solution to the PnP Problem

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

EPnP: An Accurate O(n) Solution to the PnP Problem

Graph Chatbot

Chattez avec Graph Search

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

A Comparative Analysis of Tools & Task Types for Measuring Computational Problem-Solving

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Efficient Continual Finite-Sum Minimization

Inhalation of Microplastics—A Toxicological Complexity

Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

Graph generative deep learning models with an application to circuit topologies

A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control

Hybrid ground-state quantum algorithms based on neural Schrödinger forging

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

A Comparative Analysis of Tools & Task Types for Measuring Computational Problem-Solving

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Efficient Continual Finite-Sum Minimization

Inhalation of Microplastics—A Toxicological Complexity

Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

Graph generative deep learning models with an application to circuit topologies

A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control

Hybrid ground-state quantum algorithms based on neural Schrödinger forging

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems