Robust and efficient deep learning methods for vision-based action recognition by Xu, Yuecong

“…In summary, this thesis contributes to robust and efficient vision-based action recognition by introducing two algorithms for extracting robust and efficient temporal or spatiotemporal correlation features and pioneering in the research of robust vision-based action recognition in dark videos, breaking through the constraint of current vision-based action recognition research conducted on only normal illuminated videos.…”
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50 Years of quantum chromodynamics by Gross, Franz, Klempt, Eberhard, Brodsky, Stanley J., Buras, Andrzej J., Burkert, Volker D., Heinrich, Gudrun, Jakobs, Karl, Meyer, Curtis A., Orginos, Kostas, Strickland, Michael, Stachel, Johanna, Zanderighi, Giulia, Brambilla, Nora, Braun-Munzinger, Peter, Britzger, Daniel, Capstick, Simon, Cohen, Tom, Crede, Volker, Constantinou, Martha, Davies, Christine, Del Debbio, Luigi, Denig, Achim, DeTar, Carleton, Deur, Alexandre, Dokshitzer, Yuri, Dosch, Hans Günter, Dudek, Jozef, Dunford, Monica, Epelbaum, Evgeny, Escobedo, Miguel A., Fritzsch, Harald, Fukushima, Kenji, Gambino, Paolo, Gillberg, Dag, Gottlieb, Steven, Grafstrom, Per, Grazzini, Massimiliano, Grube, Boris, Guskov, Alexey, Iijima, Toru, Ji, Xiangdong, Karsch, Frithjof, Kluth, Stefan, Kogut, John B., Krauss, Frank, Kumano, Shunzo, Leinweber, Derek, Leutwyler, Heinrich, Li, Hai-Bo, Li, Yang, Malaescu, Bogdan, Mariotti, Chiara, Maris, Pieter, Marzani, Simone, Melnitchouk, Wally, Messchendorp, Johan, Meyer, Harvey, Mitchell, Ryan Edward, Mondal, Chandan, Nerling, Frank, Neubert, Sebastian, Pappagallo, Marco, Pastore, Saori, Peláez, José R., Puckett, Andrew, Qiu, Jianwei, Rabbertz, Klaus, Ramos, Alberto, Rossi, Patrizia, Rustamov, Anar, Schäfer, Andreas, Scherer, Stefan, Schindler, Matthias, Schramm, Steven, Shifman, Mikhail, Shuryak, Edward, Sjöstrand, Torbjörn, Sterman, George, Stewart, Iain W., Stroth, Joachim, Swanson, Eric, de Téramond, Guy F., Thoma, Ulrike, Vairo, Antonio, van Dyk, Danny, Vary, James, Virto, Javier, Vos, Marcel, Weiss, Christian, Wobisch, Markus, Wu, Sau Lan, Young, Christopher, Yuan, Feng, Zhao, Xingbo, Zhou, Xiaorong

“…These methods range from the Bethe–Salpeter, Dyson–Schwinger coupled relativistic equations, which are formulated in both Minkowski or Euclidean spaces, to expansions of multi-quark states in a set of basis functions using light-front coordinates, to the AdS/QCD method that imbeds 4-dimensional QCD in a 5-dimensional deSitter space, allowing confinement and spontaneous chiral symmetry breaking to be described in a novel way. Models that assume the number of colors is very large, i.e. make use of the large $$N_c$$ N c -limit, give unique insights. …”
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Modélisation des interactions en Italie du Nord au premier âge du Fer: de la circulation de parures aux réseaux d’influences culturelles by Cicolani, V, Huet, T, Zamboni, L

“…The modeling, based on graph theory and the application of community detection algorithms (here edge.betweenness.community, from 'igraph' R package) enables the degree of importance and proximity between groups to be assessed by hierarchical segmentation of links, in order to identify coherent clusters. By breaking the links between sub-groups of nodes, we can identify groups of nodes that share more with each other than they share with the other nodes in the graph (communities of attributes). …”