Concept
Scoring algorithm
Publications associées (11)
On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells
Mario Paolone, Vladimir Sovljanski
Electrochemical Impedance Spectroscopy (EIS) and Equivalent Circuit Models (ECMs) are widely used to characterize the impedance and estimate parameters of electrochemical systems such as batteries. We use a generic ECM with ten parameters grouped to model ...
2024Sequential model identification of reaction systems-The missing path between the incremental and simultaneous approaches
Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan
Modeling chemical reaction systems is an important but complex task. The identified kinetic model must be able to explain all the underlying rate processes such as chemical reactions and heat and mass transfers. Traditionally, the modeling task is carried ...
2019Parameter Estimation with GNSS-Reflectometry and GNSS Synthetic Aperture Techniques
Aside from intentional interference, multipath is the most significant error source for Global Navigation Satellite Systems (GNSS) receivers in many operational scenarios. In this thesis, we study the multipath estimation from two different perspectives: t ...
EPFL2018Simultaneous or incremental identification of reaction systems ?
Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan
Identification of kinetic models is essential for monitoring, control and optimization of industrial processes. Robust kinetic models are often based on first-principles and described by differential equations. Identification of reaction kinetics, namely r ...
2012Extent-based incremental identification of reaction systems – Minimal number of measurements for full state reconstruction
Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan
The identification of kinetic models is an essential step for the monitoring, control and optimization of industrial processes. This is particularly true for the chemical and pharmaceutical industries, where the current trend of strong competition calls fo ...
2012A Multi Cue Discriminative Approach to Semantic Place Classification
Barbara Caputo, Marco Fornoni, Jesús Martínez Gómez
This paper describes the participation of Idiap-MULTI to the Robot Vision Task at imageCLEF 2010. Our approach was based on a discriminative classification algorithm using multiple cues. Specically, we used an SVM and combined up to four different histogra ...
2010A Multi-class Classification Strategy for Fisher Scores: Application to Signer Independent Sign Language Recognition
Fisher kernels combine the powers of discriminative and generative classifiers by mapping the variable-length sequences to a new fixed length feature space, called the Fisher score space. The mapping is based on a single generative model and the classifier ...
2010Fisher Kernels and Probabilistic Latent Semantic Models
Tasks that rely on semantic content of documents, notably Information Retrieval and Document Classification, can benefit from a good account of document context, i.e. the semantic association between documents. To this effect, the scheme of latent semantic ...
EPFL2010An Ad Hoc Information Retrieval Perspective on PLSI through language model identification
Jean-Cédric Chappelier, Emmanuel Eckard
Ten years ago, PLSI opened the road to probabilistic latent semantic representations of documents. It led to a number of applications in different fields, including ad hoc Information Retrieval. However, inherent limitations hinder its use on documents not ...
Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2009PLSI: the true Fisher Kernel and beyond
Jean-Cédric Chappelier, Emmanuel Eckard
The Probalistic Latent Semantic Indexing model, introduced by T. Hofmann (1999), has engendered applications in numerous fields, notably document classification and information retrieval. In this context, the Fisher kernel was found to be an appropriate do ...
2009