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您的检索式：作者名="Alexandre MEYER"
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| 1 | Saliency-based framework for facial expression recognition显示文摘This article proposes a novel framework for the recognition of six universal facial expressions.The framework is based on three sets of features extracted from a face image:entropy,brightness,and local binary pattern.First, saliency maps are obtained using the state-of-the-art saliency detection algorithm 'frequency-tuned salient region detection'.The idea is to use saliency maps to determine appropriate weights or values for the extracted features (i.e.,brightness and entropy).We have performed a visual experiment to validate the performance of the saliency detection algorithm against the human visual system.Eye movements of 15 subjects were recorded using an eye-tracker in free-viewing conditions while they watched a collection of 54 videos selected from the Cohn-Kanade facial expression database.The results of the visual experiment demonstrated that the obtained saliency maps are consistent with the data on human fixations.Finally,the performance of the proposed framework is demonstrated via satisfactory classification results achieved with the Cohn-Kanade database,FG-NET FEED database, and Dartmouth database of children's faces. | Rizwan Ahmed KHAN Alexandre MEYER Hubert KONIK Saida BOUAKAZ | 2019 | Frontiers of Computer Science2019，13，1： | 5 |
| 2 | Influence of Pre-, Intra- and Post-Operative Parameters of Donor Liver on the Outcome of Isolated Human Hepatocytes显示文摘 | E. Alexandre M. Cahn C. Abadie-Viollon N. Meyer B. Heyd G. Mantion J. Cinqualbre P. David D. Jaeck L. Richert | 2002 | Cell and Tissue Banking2002，，4： | 1 |
| 3 | Influence of Pre-, Intra- and Post-Operative Parameters of Donor Liver on the Outcome of Isolated Human Hepatocytes显示文摘 | E. Alexandre M. Cahn C. Abadie-Viollon N. Meyer B. Heyd G. Mantion J. Cinqualbre P. David D. Jaeck L. Richert | 2002 | Cell and Tissue Banking2002，，4： | 1 |
| 4 | Observation of a single protein by ultrafast X-ray diffraction显示文摘The idea of using ultrashort X-ray pulses to obtain images of single proteins frozen in time has fascinated and inspired many.It was one of the arguments for building X-ray free-electron lasers.According to theory,the extremely intense pulses provide sufficient signal to dispense with using crystals as an amplifier,and the ultrashort pulse duration permits capturing the diffraction data before the sample inevitably explodes.This was first demonstrated on biological samples a decade ago on the giant mimivirus.Since then,a large collaboration has been pushing the limit of the smallest sample that can be imaged.The ability to capture snapshots on the timescale of atomic vibrations,while keeping the sample at room temperature,may allow probing the entire conformational phase space of macromolecules.Here we show the first observation of an X-ray diffraction pattern from a single protein,that of Escherichia coli GroEL which at 14 nm in diameter is the smallest biological sample ever imaged by X-rays,and demonstrate that the concept of diffraction before destruction extends to single proteins.From the pattern,it is possible to determine the approximate orientation of the protein.Our experiment demonstrates the feasibility of ultrafast imaging of single proteins,opening the way to single-molecule time-resolved studies on the femtosecond timescale. | Tomas Ekeberg Dameli Assalauova Johan Bielecki Rebecca Boll Benedikt J.Daurer Lutz A.Eichacker Linda E.Franken Davide E.Galli Luca Gelisio Lars Gumprecht Laura H.Gunn Janos Hajdu Robert Hartmann Dirk Hasse Alexandr Ignatenko Jayanath Koliyadu Olena Kulyk Ruslan Kurta Markus Kuster Wolfgang Lugmayr Jannik Lübke Adrian P.Mancuso Tommaso Mazza Carl Nettelblad Yevheniy Ovcharenko Daniel E.Rivas Max Rose Amit K.Samanta Philipp Schmidt Egor Sobolev Nicusor Timneanu Sergey Usenko Daniel Westphal Tamme Wollweber Lena Worbs Paul Lourdu Xavier Hazem Yousef Kartik Ayyer Henry N.Chapman Jonas A.Sellberg Carolin Seuring Ivan A.Vartanyants Jochen Küpper Michael Meyer Filipe R.N.C.Maia | 2024 | Light(Science & Applications)2024，13，1： | 0 |
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