Publications associées à Active Learning of Self-concordant like Multi-index Functions

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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

Exploring Deviation in Inquiry Learning: Degrees of Freedom or Source of Problems?

Denis Gillet, Maria Jesus Rodriguez Triana

The European Go-Lab project aims to promote Inquiry-based Learning (IBL) with online laboratories. To support teachers and students in this endeavor, the project provides an IBL model (a sequence of inquiry phases) as well as the technological infrastructu ...

Asia-Pacific Society for Computers in Education2015

Orchestrating Inquiry-Based Learning Spaces: an Analysis of Teacher Needs

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

The European Go-Lab project offers Inquiry Learning Spaces (ILSs) as open educational resources to support Inquiry-based Learning (IBL). To successfully exploit ILSs and implement IBL, proper support for orchestration is needed. Researchers have highlighte ...

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

Active learning for monitoring network optimization

Devis Tuia, Alexei Pozdnoukhov

This book provides an introduction to spatio-temporal design that contains a description of one or two basic settings (e.g., migration and biodiversity) that includes real data sets, data-generating mechanisms, and possible simulation scenarios. Furthermor ...

John Wiley & Sons2013

Learning User's Confidence for Active Learning

Devis Tuia

In this paper, we study the applicability of active learning (AL) in operative scenarios. More particularly, we consider the well-known contradiction between the AL heuristics, which rank the pixels according to their uncertainty, and the user's confidence ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Active Learning of Multi-Index Function Models

Volkan Cevher, Hemant Tyagi

We consider the problem of actively learning \textit{multi-index} functions of the form

f(x) = g(Ax)= \sum_{i=1}^k g_i(a_i^Tx)

from point evaluations of

f

. We assume that the function

f

is defined on an

\ell_2

-ball in

\Real^d

g

is twice contin ...

2012

Active Learning of Multi-Index Function Models

Volkan Cevher, Hemant Tyagi

We consider the problem of actively learning \textit{multi-index} functions of the form

f(x) = g(Ax)= \sum_{i=1}^k g_i(a_i^Tx)

from point evaluations of

f

. We assume that the function

f

is defined on an

\ell_2

-ball in

\Real^d

g

is twice contin ...

2012

Active Learning of Self-concordant like Multi-index Functions

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Combining UAV-imagery and machine learning for wildlife conservation

Automatic Hand Phantom Map Detection Methods

Introducing Geometry in Active Learning for Image Segmentation

Exploring Deviation in Inquiry Learning: Degrees of Freedom or Source of Problems?

Orchestrating Inquiry-Based Learning Spaces: an Analysis of Teacher Needs

SVM Active Learning Approach for Image Classification Using Spatial Information

Active learning for monitoring network optimization

Active Learning: Any Value for Classification of Remotely Sensed Data?

Learning User's Confidence for Active Learning

Active Learning of Multi-Index Function Models

Automatic Hand Phantom Map Detection Methods

Combining UAV-imagery and machine learning for wildlife conservation

Exploring Deviation in Inquiry Learning: Degrees of Freedom or Source of Problems?

Orchestrating Inquiry-Based Learning Spaces: an Analysis of Teacher Needs

Introducing Geometry in Active Learning for Image Segmentation

Active learning for monitoring network optimization

Active Learning: Any Value for Classification of Remotely Sensed Data?

SVM Active Learning Approach for Image Classification Using Spatial Information

Active Learning of Multi-Index Function Models

Learning User's Confidence for Active Learning