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Optimization Over Banach Spaces: A Unified View on Supervised Learning and Inverse Problems

Publications associées (162)

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Free Form Deformation Techniques for 3D Shape Optimization Problems

Anwar Koshakji

The purpose of this work is to analyse and study an efficient parametrization technique for a 3D shape optimization problem. After a brief review of the techniques and approaches already available in literature, we choose to use the Free Form Deformation p ...

2011

Optimal Exact Path-Following for Constrained Differentially Flat Systems

Timm Faulwasser

We propose a dynamic optimization approach to calculate optimal feedforward controls for exact path-following problems of differentially flat systems. Besides the derivation of a small dimensional optimal control problem, we provide easily checkable condit ...

2011

Pareto-optimal Dictionaries for Signatures

Pascal Fua, Vincent Lepetit, Michael Calonder

We present an effective method to optimize over the parameters of an image patch descriptor to obtain one that is computationally more efficient while maintaining a high recognition rate. We formulate the optimization problem in a multi-objective manner, w ...

IEEE2010

Optimizing evacuation instructions while anticipating traveler compliance behavior

Instructing evacuees on their departure time, destination and route can lead to more efficient traffic operations. Empirical findings on evacuation behavior support the view that in practice a share of travelers decides not to comply, while current evacuat ...

2010

Geometry-aware analysis of high-dimensional visual information sets

Effrosyni Kokiopoulou

Over the past few decades we have been experiencing a data explosion; massive amounts of data are increasingly collected and multimedia databases, such as YouTube and Flickr, are rapidly expanding. At the same time rapid technological advancements in mobil ...

EPFL2009

Multiple task learning in recurrent neural networks using layered reservoirs

Martin Hasler, Ali Ajdari Rad, Mahdi Jalili

In this paper, to learn multiple tasks sharing same inputs, a two-layer architecture for a reservoir based recurrent neural network is proposed. The inputs are fed into the general workspace layer where the weights are adapted to provide maximum informatio ...

2009

Adaptation Strategies for Real-time Optimization

Dominique Bonvin, Benoît Chachuat

Challenges in real-time process optimization mainly arise from the inability to build and adapt accurate models for complex physico-chemical processes. This paper surveys different ways of using measurements to compensate for model uncertainty in the conte ...

2009

Dynamic Manipulation of Active Objects: Modeling and Optimization

Laleh Makarem

In this paper the problem of dynamic manipulation of active objects by throwing is studied. Here active object means a multi-body object that can actively move its body parts. The prime reason for selecting this problem is existence of conceptual analogy b ...

2009

Optimizing Control Based on Output Feedback

Dominique Bonvin, Sébastien Gros

In the framework of process optimization, the use of measurements to compensate the effect of uncertainty has re-emerged as an active area of research. One of the ideas therein is to adapt the inputs in order to track the active constraints and push certai ...

2009

Optimal linear fusion for distributed spectrum sensing via semidefinite programming

Ali H. Sayed

As an enabling functionality of overlay cognitive radio networks, spectrum sensing needs to reliably detect licensed signal in the band of interest. To achieve reliable sensing, we propose a linear fusion scheme for distributed spectrum sensing to combine ...

IEEE2009