Publications associées à Active Learning for Imbalanced Civil Infrastructure Data

Pascal Fua, Raphael Sznitman, Ksenia Konyushkova

In this paper, we suggest a novel data-driven approach to active learning (AL). The key idea is to train a regressor that predicts the expected error reduction for a candidate sample in a particular learning state. By formulating the query selection proced ...

2017

Active Learning and Proofreading for Delineation of Curvilinear Structures

Pascal Fua, Agata Justyna Mosinska, Jakub Tarnawski

Many state-of-the-art delineation methods rely on supervised machine learning algorithms. As a result, they require manually annotated training data, which is tedious to obtain. Furthermore, even minor classification errors may significantly affect the top ...

2017

Lower Bounds on Active Learning for Graphical Model Selection

Volkan Cevher, Jonathan Mark Scarlett

We consider the problem of estimating the underlying graph associated with a Markov random field, with the added twist that the decoding algorithm can iteratively choose which subsets of nodes to sample based on the previous samples, resulting in an active ...

2017

Agile, Versatile, and Comprehensive Social Media Platform for Creating, Sharing, Exploiting, and Archiving Personal Learning Spaces, Artifacts, and Traces

Denis Gillet, Maria Jesus Rodriguez Triana, Adrian Christian Holzer, Andrii Vozniuk

Nowadays, students bring their full ecosystem of social media platforms and their own devices to school, while teachers benefit from and contribute to local or global repositories of educational resources. As a consequence, educational institutions have to ...

2016

Supporting Teacher Decision-Making Through Appropriate Feedback

Roland John Tormey, Sébastien Cuendet

The quality of teaching is significantly enhanced through feedback to teachers about their teaching. Whereas systems to show student learning exist, those showing the emotional state of the classroom do not. We argue that such systems could greatly improve ...

Springer2016

Active Learning of Self-concordant like Multi-index Functions

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

We study the problem of actively learning a multi-index function of the form f (x) = g_0 (A_0 x) from its point evaluations, where A_0 ∈ R_{k×d} with k ≪ d. We build on the assumptions and techniques of an existing approach based on low-rank matrix recover ...

2015

Automatic Hand Phantom Map Detection Methods

Christian Enz, Claudio Bruschini, Huaiqi Huang, Tao Li, Jörn Justiz

Many amputees have maps of referred sensation from their missing hand on their residual limb (phantom maps). This skin area can serve as a target for providing amputees with tactile sensory feedback. Providing tactile feedback on the phantom map can improv ...

2015

Introducing Geometry in Active Learning for Image Segmentation

Pascal Fua, Raphael Sznitman, Ksenia Konyushkova

We propose an Active Learning approach to training a segmentation classifier that exploits geometric priors to streamline the annotation process in 3D image volumes. To this end, we use these priors not only to select voxels most in need of annotation but ...

2015

SVM Active Learning Approach for Image Classification Using Spatial Information

Devis Tuia

In the last few years, active learning has been gaining growing interest in the remote sensing community in optimizing the process of training sample collection for supervised image classification. Current strategies formulate the active learning problem i ...

Ieee-Inst Electrical Electronics Engineers Inc2014

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Active Learning for Imbalanced Civil Infrastructure Data

Learning Active Learning from Data

Active Learning and Proofreading for Delineation of Curvilinear Structures

Lower Bounds on Active Learning for Graphical Model Selection

Agile, Versatile, and Comprehensive Social Media Platform for Creating, Sharing, Exploiting, and Archiving Personal Learning Spaces, Artifacts, and Traces

Combining UAV-imagery and machine learning for wildlife conservation

Supporting Teacher Decision-Making Through Appropriate Feedback

Active Learning of Self-concordant like Multi-index Functions

Automatic Hand Phantom Map Detection Methods

Introducing Geometry in Active Learning for Image Segmentation

SVM Active Learning Approach for Image Classification Using Spatial Information

Graph Chatbot

Chattez avec Graph Search

SVM Active Learning Approach for Image Classification Using Spatial Information

Combining UAV-imagery and machine learning for wildlife conservation

Lower Bounds on Active Learning for Graphical Model Selection

Supporting Teacher Decision-Making Through Appropriate Feedback

Active Learning of Self-concordant like Multi-index Functions

Learning Active Learning from Data

Active Learning and Proofreading for Delineation of Curvilinear Structures

Agile, Versatile, and Comprehensive Social Media Platform for Creating, Sharing, Exploiting, and Archiving Personal Learning Spaces, Artifacts, and Traces

Introducing Geometry in Active Learning for Image Segmentation

Automatic Hand Phantom Map Detection Methods