Semantic-Driven Selection of Printer Color Rendering Intents

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

We consider the problem of training a neural network to store a set of patterns with maximal noise robustness. A solution, in terms of optimal weights and state update rules, is derived by training each individual neuron to perform either kernel classifica ...

Determining the relationship between the cause of damage and the subsequent structural behavior of infrastructure systems requires an accurate characterization of the propagation of cracks, which represents the evolution of the damage state. When no inform ...

Time series with missing data are signals encountered in important settings for machine learning. Some of the most successful prior approaches for modeling such time series are based on recurrent neural networks that transform the input and previous state ...

The purpose of this Thesis is to develop, test, and characterize different models attempting to tackle the problem of measurement of galaxy shapes applied in interferometric observations. Shape measurement is a tool for estimating the underlying shear due ...

Although different vehicle sharing systems (VSSs) use different vehicle types, the management challenges and optimization problems to be solved are similar or even the same. This observation led us to create a generalized and holistic VSS management framew ...

In this paper, we propose a novel framework capable of generating various walking and running gaits for bipedal robots. The main goal is to relax the fixed center of mass (CoM) height assumption of the linear inverted pendulum model (LIPM) and generate a w ...

A computer-implemented method is proposed for creating a three-dimensional model of the environment. The method comprises the steps of planning (105) a trajectory for a moving system carrying an omnidirectional camera comprising a first image sensor facing ...

The ab initio determination of electronic excited state (ES) properties is the cornerstone of theoretical photochemistry. Yet, traditional ES methods become impractical when applied to fairly large molecules, or when used on thousands of systems. Machine l ...

Modern methods for counting people in crowded scenes rely on deep networks to estimate people densities in individual images. As such, only very few take advantage of temporal consistency in video sequences, and those that do only impose weak smoothness co ...

The need for efficient, widespread and reliable security and user privacy technologies is important more so than ever before. This is in particular crucial for workflows involving image data. Images can be easily edited to give a false impression of realit ...

Semantic-Driven Selection of Printer Color Rendering Intents

Chat with Graph Search

Kernel Memory Networks: A Unifying Framework for Memory Modeling

Determining crack kinematics from imaged crack patterns

Recursive Input And State Estimation: A General Framework For Learning From Time Series With Missing Data

Development and evaluation of galaxy shape measurement algorithms for radio interferometric data

Vehicle sharing systems: A review and a holistic management framework

A unified framework for walking and running of bipedal robots

Method and system for generating a three-dimensional model based on spherical photogrammetry

Learning the Exciton Properties of Azo-dyes

Counting People by Estimating People Flows

Exploration of Media Blockchain Technologies for JPEG Privacy and Security