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46 papers · 1 filter
Do investors trade too much? A laboratory experiment
Joao da Gama Batista, Domenico Massaro, Jean-Philippe Bouchaud +2
We run experimental asset markets to investigate the emergence of excess trading and the occurrence of synchronised trading activity leading to crashes in the artificial markets. T…
Observability analysis of sensorless synchronous machine drives
Mohamad Koteich, Abdelmalek Maloum, Gilles Duc +1
This paper studies the local observability of synchronous machines using a unified approach. Recently, motion sensorless control of electrical drives has gained high interest. The…
A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation
Chouzenoux Emilie, Pesquet Jean-Christophe
Stochastic approximation techniques play an important role in solving many problems encountered in machine learning or adaptive signal processing. In these contexts, the statistics…
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
Jiaqian Yu, Matthew Blaschko
Learning with non-modular losses is an important problem when sets of predictions are made simultaneously. The main tools for constructing convex surrogate loss functions for set p…
Discussion on "AC Drive Observability Analysis"
Mohamad Koteich, Abdelmalek Maloum, Gilles Duc +1
In the paper by Vaclavek et al. (IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3047-3059, Aug. 2013), the local observability of both induction machine and permanent-magnet synch…
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing
Jie Lin, Olivier Morère, Julie Petta +2
A typical image retrieval pipeline starts with the comparison of global descriptors from a large database to find a short list of candidate matches. A good image descriptor is key…