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Florent Krzakala1,∗, Marc Mézard, Francois Sausset, Yifan Sun and Lenka Zdeborová 1 CNRS and ESPCI ParisTech, 10 rue Vauquelin, UMR 7083 Gulliver, Paris 75005, France. 2 Univ. Paris-Sud & CNRS, LPTMS, UMR8626, Bât. 100, 91405 Orsay, France. 3 LMIB and School of Mathematics and Systems Science, Beihang University, 100191 Beijing, China. 4 Institut de(More)
F. Krzakala , M. Mézard , F. Sausset , Y. F. Sun and L. Zdeborová 4 1 CNRS and ESPCI ParisTech, 10 rue Vauquelin, UMR 7083 Gulliver, Paris 75005, France. 2 Univ. Paris-Sud & CNRS, LPTMS, UMR8626, Bât. 100, 91405 Orsay, France. 3 LMIB and School of Mathematics and Systems Science, Beihang University, 100191 Beijing, China. 4 Institut de Physique Théorique,(More)
This paper considers person re-identification (re-id) in videos. We introduce a new video re-id dataset, named Motion Analysis and Reidentification Set (MARS), a video extension of the Market-1501 dataset. To our knowledge, MARS is the largest video re-id dataset to date. Containing 1,261 IDs and around 20,000 tracklets, it provides rich visual information(More)
In this paper, we report on a novel residual lignin isolation method. Initially we demonstrate that, in order to cellulolytically isolate residual lignin in high yield, the cellulosic structure of the pulp should be exposed as much as possible. Consequently, we developed a two-step method that first uses a mild enzymatic treatment to render most of the(More)
This report describes the realization of an embedded hardware system designed to perform fast control for an atomic force microscope (AFM). Traditional implementation of control algorithms for AFMs, either PC-based or DSP-based, does not meet the high-speed scanning requirement. Considering the capability of parallel computing, FPGA is employed to achieve(More)
We propose a novel optimal time slot allocation scheme for clustered underwater acoustic sensor networks that leverages physical (PHY) layer information to minimize the energy consumption due to unnecessary retransmissions thereby improving network lifetime and throughput. To reduce the overhead and the computational complexity, we employ a two-phase(More)
BACKGROUND Mild solubilization of inclusion bodies has attracted attention in recent days, with an objective to preserve the existing native-like secondary structure of proteins, reduce protein aggregation during refolding and recovering high amount of bioactive proteins from inclusion bodies. RESULTS Here we presented an efficient method for mild(More)
In this paper we propose a novel Bayesian method to improve the robustness of cooperative spectrum sensing against misbehaving secondary users, which may send wrong sensing reports in order to artificially increase or reduce the throughput of a cognitive network. We adopt a statistical attack model in which every malicious node is characterized by a certain(More)