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Publications associées (350)

Towards an Integrated Sustainability Assessment of Biorefineries

The sustainability of biofuel operations encompasses several issues which are key to promoting uptake in a global environment. However, much of the analysis of biofuel production tends to be dominated by life cycle assessment (LCA) for assessing environmen ...

Elsevier2017

Combining Multiple Views for Visual Speech Recognition

Jean-Philippe Thiran, Hazim Kemal Ekenel, Marina Zimmermann, Mostafa Mehdipour Ghazi

Visual speech recognition is a challenging research problem with a particular practical application of aiding audio speech recognition in noisy scenarios. Multiple camera setups can be beneficial for the visual speech recognition systems in terms of improv ...

KTH2017

Plug-and-Play Robust Voltage Control of DC Microgrids

Alireza Karimi

The purpose of this paper is to explore the appli- cability of linear time-invariant (LTI) dynamical systems with polytopic uncertainty for modeling and control of islanded DC microgrids under plug-and-play (PnP) functionality of distributed generations (D ...

2017

Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage

Volkan Cevher, Alp Yurtsever

This paper considers a fundamental class of convex matrix optimization problems with low-rank solutions. We show it is possible to solve these problem using far less memory than the natural size of the decision variable when the problem data has a concise ...

2017

A decision model to predict the risk of the first fall onset

Jean-Baptiste Mignardot

Background: Miscellaneous features from various domains are accepted to be associated with the risk of falling in the elderly. However, only few studies have focused on establishing clinical tools to predict the risk of the first fall onset. A model that w ...

Elsevier2016

Efficient Distributed Decision Trees for Robust Regression

Karl Aberer, Jean Paul Calbimonte Perez, Tian Guo

The availability of massive volumes of data and recent advances in data collection and processing platforms have motivated the development of distributed machine learning algorithms. In numerous real-world applications large datasets are inevitably noisy a ...

2016

Unlocking efficiency and scalability of reversible logic synthesis using conventional logic synthesis

Mathias Soeken, Anupam Chattopadhyay

Latest quantum technologies promise realization of extremely large circuits, whereas, reversible logic synthesis, the key automation step for quantum computing suffers from scalability bottleneck. Sealability can be achieved with Decision Diagram (DD)-base ...

ACM/IEEE2016

Stream fusion for multi-stream automatic speech recognition

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Hesam Sagha, Ehsan Variani

Multi-stream automatic speech recognition (MS-ASR) has been confirmed to boost the recognition performance in noisy conditions. In this system, the generation and the fusion of the streams are the essential parts and need to be designed in such a way to re ...

Springer Verlag2016

Tree-structured Classifier for Acceleration-based Activity and Gesture Recognition on Smartwatches

Karl Aberer, Julien Eberle, Dipanjan Chakraborty

This paper proposes a new method for recognizing both activities and gestures by using acceleration data collected on a smartwatch. While both activity recognition techniques and gesture recognition techniques employ acceleration data, these techniques are ...

Ieee2016

Demand-based discrete optimization

Michel Bierlaire, Shadi Sharif Azadeh

We propose a methodological framework to include a wide variety of discrete choice models in (mixed) integer optimization problems. We succeed in obtaining a specification that is linear in the decision variables, allowing to use exact methods to solve the ...

2016

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