Publications associées à Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

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

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Graph Chatbot

Chattez avec Graph Search

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

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

Meta-learning to address diverse Earth observation problems across resolutions

Efficient Continual Finite-Sum Minimization

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization

Machine Learning Methods for Robust Uncertainty Quantification and Controller Approximation

Robust Outlier Rejection for 3D Registration with Variational Bayes

The statistical complexity of early-stopped mirror descent

Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds

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

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

Meta-learning to address diverse Earth observation problems across resolutions

DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization

Efficient Continual Finite-Sum Minimization

Machine Learning Methods for Robust Uncertainty Quantification and Controller Approximation

Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning

Robust Outlier Rejection for 3D Registration with Variational Bayes

The statistical complexity of early-stopped mirror descent