Publications related to PAC-Bayesian Generalization Error Bounds for Gaussian Process Classification

Stable Myoelectric Control of a Hand Prosthesis using Non-Linear Incremental Learning

Stable myoelectric control of hand prostheses remains an open problem. The only successful human–machine interface is surface electromyography, typically allowing control of a few degrees of freedom. Machine learning techniques may have the potential to re ...

2014

Object Classification and Detection in High Dimensional Feature Space

Charles Dubout

Object classification and detection aim at recognizing and localizing objects in real-world images. They are fundamental computer vision problems and a prerequisite for full scene understanding. Their difficulty lies in the large number of possible object ...

Programme doctoral en Informatique, Communications et Information2013

Sparse Binary Features for Image Classification

Johann Paratte

In this work a new method for automatic image classification is proposed. It relies on a compact representation of images using sets of sparse binary features. This work first evaluates the Fast Retina Keypoint binary descriptor and proposes imp ...

2013

Sparse projections onto the simplex

Volkan Cevher, Christoph Koch, Anastasios Kyrillidis

Most learning methods with rank or sparsity constraints use convex relaxations, which lead to optimization with the nuclear norm or the`1-norm. However, several important learning applications cannot benet from this approach as they feature these convex no ...

JMLR W&CP2013

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

Aurélien Lucchi

Segmenting images is a significant challenge that has drawn a lot of attention from different fields of artificial intelligence and has many practical applications. One such challenge addressed in this thesis is the segmentation of electron microscope (EM) ...

EPFL2013

Learning Near-optimal Decision Rules for Energy Efficient Building Control

Colin Neil Jones

Recent studies suggest that advanced optimization based control methods such as model predictive control (MPC) can increase energy efficiency of buildings. However, adoption of these methods by industry is still slow, as building operators are used to work ...

2012

Learning Near-optimal Decision Rules for Energy Efficient Building Control

Colin Neil Jones

Recent studies suggest that advanced optimization based control methods such as model predictive control (MPC) can increase energy efficiency of buildings. However, adoption of these methods by industry is still slow, as building operators are used to work ...

2012

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Volkan Cevher, Anastasios Kyrillidis

The least absolute shrinkage and selection operator (LASSO) for linear regression exploits the geometric interplay of the

\ell_2

-data error objective and the

\ell_1

-norm constraint to arbitrarily select sparse models. Guiding this uninformed selection ...

IEEE2012

Feature Selection using Stochastic Search: An Application to System Identification

Ian Smith, Sandro Saitta

System identification using multiple-model strategies may involve thousands of models with several parameters. However, only a few models are close to the correct model. A key task involves finding which parameters are important for explaining candidate mo ...

American Society of Civil Engineers2010

Path planning versus cue responding: a bioinspired model of switching between navigation strategies

Ricardo Andres Chavarriaga Lozano

In this paper we describe a new computational model of switching between path-planning and cue-guided navigation strategies. It is based on three main assumptions: (i) the strategies are mediated by separate memory systems that learn independently and in p ...

Springer Verlag2010

PAC-Bayesian Generalization Error Bounds for Gaussian Process Classification

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Stable Myoelectric Control of a Hand Prosthesis using Non-Linear Incremental Learning

Object Classification and Detection in High Dimensional Feature Space

Sparse Binary Features for Image Classification

Sparse projections onto the simplex

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

Learning Near-optimal Decision Rules for Energy Efficient Building Control

Learning Near-optimal Decision Rules for Energy Efficient Building Control

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Feature Selection using Stochastic Search: An Application to System Identification

Path planning versus cue responding: a bioinspired model of switching between navigation strategies

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

Path planning versus cue responding: a bioinspired model of switching between navigation strategies

Stable Myoelectric Control of a Hand Prosthesis using Non-Linear Incremental Learning

Sparse projections onto the simplex

Object Classification and Detection in High Dimensional Feature Space

Sparse Binary Features for Image Classification

Learning Near-optimal Decision Rules for Energy Efficient Building Control

Learning Near-optimal Decision Rules for Energy Efficient Building Control

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Feature Selection using Stochastic Search: An Application to System Identification