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International Conference on Pattern Recognition

作者： Sergiy Fefilatyev Matthew Shreve Kurt Kramer Lawrence Hall Dmitry Goldgof Rangachar Kasturi Kendra Daly Andrew Remsen Horst Bunke Department of Computer Science and Engineering University of South Florida USA College of Marine Science University of South Florida USA Institute of Computer Science and Applied Mathematics University of Bern Switzerland

ISBN: (纸本)9781467322164

The problem of detection of label-noise in large datasets is investigated. We consider applications where data are susceptible to label error and a human expert is available to verify a limited number of such labels in order to cleanse the data. We show the support vectors of a Support Vector Machine (SVM) contain almost all of these noisy labels. Therefore, the verification of support vectors allows efficient cleansing of the data. Empirical results are presented for two experiments. In the first experiment, two datasets from the character recognition domain are used and artificial random noise is applied in their labeling. In the second experiment, a large dataset of plankton images, that contains inadvertent human label error, is considered. It is shown that up to 99% of all label-noise from such datasets can be detected by verifying just the support vectors of the SVM classifier.

关键词： Support vector machines Noise Training Training data Machine learning Humans Noise measurement

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Integration of imaging and systems biology to study treatment of medulloblastoma

Integration of imaging and systems biology to study treatmen...

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2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012

作者： Wang, Sean S. Rodriguez, Olga C. Tian, Ye Ye, Shaozhen Petricoin III, Emanual Albanese, Chris A. James Clark School of Engineering University of Maryland College Park MD 20742 United States Lombardi Comprehensive Cancer Center Department of Oncology Georgetown University Medical Center Washington DC 20057 United States Department of Pathology Georgetown University Medical Center Washington DC 20057 United States Department of Electrical and Computer Engineering Virginia Tech. Arlington VA 22203 United States College of Mathematics and Computer Science Fuzhou University China Center for Applied Proteomics and Molecular Medicine George Mason University Manassas VA 22030 United States

ISBN: (纸本)9781467352369

Medulloblastoma is a highly malignant childhood brain tumor and is often characterized by alterations in cell cycle regulatory pathways and genes. Using FDA-approved arsenic trioxide (ATO) treated ND2-SmoAl mouse model, we present an integrated imaging and systems biology approach to assess tumor responses to ATO and to uncover the complexity of therapeutic molecular biology. Kaplan-Meier survival and MRI tumor growth analyses established the effectiveness of ATO treatment. Differential analysis of protein data identified biologically plausible gene markers. Differential dependence network analyses further revealed novel rewiring "hubs" of biological networks triggered by ATO at systems level. Functional analyses on statistically significant networked molecular markers confirmed ATO's role as an effective anti-proliferative and pro-apoptotic drug, in vivo. © 2012 IEEE.

关键词： Molecular biology

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Erratum: Measurement of D*± production in deep inelastic scattering at HERA

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Journal of High Energy Physics 2014年第2期2014卷 1-9页

作者： Abramowicz, H. Abt, I. Adamczyk, L. Adamus, M. Aggarwal, R. Antonelli, S. Antonioli, P. Antonov, A. Arneodo, M. Arslan, O. Aushev, V. Aushev, Y. Bachynska, O. Bamberger, A. Barakbaev, A. N. Barbagli, G. Bari, G. Barreiro, F. Bartosik, N. Bartsch, D. Basile, M. Behnke, O. Behr, J. Behrens, U. Bellagamba, L. Bertolin, A. Bhadra, S. Bindi, M. Blohm, C. Bokhonov, V. Bold, T. Boos, E. G. Borras, K. Boscherini, D. Bot, D. Brock, I. Brownson, E. Brugnera, R. Brümmer, N. Bruni, A. Bruni, G. Brzozowska, B. Bussey, P. J. Bylsma, B. Caldwell, A. Capua, M. Carlin, R. Catterall, C. D. Chekanov, S. Chwastowski, J. Ciborowski, J. Ciesielski, R. Cifarelli, L. Cindolo, F. Contin, A. Cooper-Sarkar, A. M. Coppola, N. Corradi, M. Corriveau, F. Costa, M. D’Agostini, G. Corso, F. Dal del Peso, J. Dementiev, R. K. De Pasquale, S. Derrick, M. Devenish, R. C. E. Dobur, D. Dolgoshein, B. A. Dolinska, G. Doyle, A. T. Drugakov, V. Durkin, L. S. Dusini, S. Eisenberg, Y. Ermolov, P. F. Eskreys, A. Fang, S. Fazio, S. Ferrando, J. Ferrero, M. I. Figiel, J. Foster, B. Gach, G. Galas, A. Gallo, E. Garfagnini, A. Geiser, A. Gialas, I. Gizhko, A. Gladilin, L. K. Gladkov, D. Glasman, C. Gogota, O. Golubkov, Yu. A. Göttlicher, P. Grabowska-Bold, I. Grebenyuk, J. Gregor, I. Grigorescu, G. Grzelak, G. Gueta, O. Guzik, M. Gwenlan, C. Haas, T. Hain, W. Hamatsu, R. Hart, J. C. Hartmann, H. Hartner, G. Hilger, E. Hochman, D. Hori, R. Hüttmann, A. Ibrahim, Z. A. Iga, Y. Ingbir, R. Ishitsuka, M. Iudin, A. Jakob, H.-P. Januschek, F. Jones, T. W. Jüngst, M. Kadenko, I. Kahle, B. Kananov, S. Kanno, T. Karshon, U. Karstens, F. Katkov, I. I. Kaur, M. Kaur, P. Keramidas, A. Khein, L. A. Kim, J. Y. Kisielewska, D. Kitamura, S. Klanner, R. Klein, U. Koffeman, E. Kondrashova, N. Kononenko, O. Kooijman, P. Korol, Ie. Korzhavina, I. A. Kotanski, A. Kötz, U. Kovalchuk, N. Kowalski, H. Kuprash, O. Kuze, M. Lee, A. Levchenko, B. B. Levy, A. Libov, V. Limentani, S. Ling, T. Y. Lisovyi, M. Lobodzinska, E. Lohmann, W. Löhr, B. Lohrmann, E. Long, K. R. Longhin, A. Lontkovskyi Raymond and Beverly Sackler Faculty of Exact Sciences School of Physics Tel Aviv University Tel Aviv Israel Max-Planck-Institut für Physik München Germany AGH-University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland National Centre for Nuclear Research Warsaw Poland Panjab University Department of Physics Chandigarh India University and INFN Bologna Bologna Italy INFN Bologna Bologna Italy Moscow Engineering Physics Institute Moscow Russia Università di Torino and INFN Torino Italy Physikalisches Institut der Universität Bonn Bonn Germany Institute for Nuclear Research National Academy of Sciences Kyiv Ukraine Department of Nuclear Physics National Taras Shevchenko University of Kyiv Kyiv Ukraine Deutsches Elektronen-Synchrotron DESY Hamburg Germany Fakultät für Physik der Universität Freiburg i.Br Freiburg i.Br Germany Institute of Physics and Technology of Ministry of Education and Science of Kazakhstan Almaty Kazakhstan INFN Florence Florence Italy Departamento de Física Teórica Universidad Autónoma de Madrid Madrid Spain INFN Padova Padova Italy Department of Physics York University Ontario Canada Department of Physics University of Wisconsin Madison USA Dipartimento di Fisica dell’ Università and INFN Padova Italy Physics Department Ohio State University Columbus USA Faculty of Physics University of Warsaw Warsaw Poland School of Physics and Astronomy University of Glasgow Glasgow United Kingdom Calabria University Physics Department and INFN Cosenza Italy Argonne National Laboratory Argonne USA The Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Krakow Poland Cracow University of Technology Faculty of Physics Mathematics and Applied Computer Science Cracow Poland Lódz University Lódz Poland University of Liverpool Liverpool United Kingdom Department of Physics University of Oxford Oxford United Kingdom Department of Physics McGill University Montréal Cana

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Statistical properties of avalanches in networks

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Physical Review E 2012年第6期85卷 066131-066131页

作者： Daniel B. Larremore Marshall Y. Carpenter Edward Ott Juan G. Restrepo Department of Applied Mathematics University of Colorado at Boulder Colorado 80309 USA Center for Communicable Disease Dynamics Department of Epidemiology Harvard School of Public Health Boston Massachusetts 02115 USA Institute for Research in Electronics and Applied Physics University of Maryland College Park Maryland 20742 USA Department of Physics and Department of Electrical and Computer Engineering University of Maryland College Park Maryland 20742 USA

We characterize the distributions of size and duration of avalanches propagating in complex networks. By an avalanche we mean the sequence of events initiated by the externally stimulated excitation of a network node, which may, with some probability, then stimulate subsequent excitations of the nodes to which it is connected, resulting in a cascade of excitations. This type of process is relevant to a wide variety of situations, including neuroscience, cascading failures on electrical power grids, and epidemiology. We find that the statistics of avalanches can be characterized in terms of the largest eigenvalue and corresponding eigenvector of an appropriate adjacency matrix that encodes the structure of the network. By using mean-field analyses, previous studies of avalanches in networks have not considered the effect of network structure on the distribution of size and duration of avalanches. Our results apply to individual networks (rather than network ensembles) and provide expressions for the distributions of size and duration of avalanches starting at particular nodes in the network. These findings might find application in the analysis of branching processes in networks, such as cascading power grid failures and critical brain dynamics. In particular, our results show that some experimental signatures of critical brain dynamics (i.e., power-law distributions of size and duration of neuronal avalanches) are robust to complex underlying network topologies.

关键词： SOCIAL networks DISTRIBUTION (Probability theory) COMPLEXITY (Philosophy) BRAIN stimulation EIGENVALUES BRANCHING processes (mathematics) POWER law (mathematics)

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Magnetic anisotropy of single Mn acceptors in GaAs in an external magnetic field

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Physical Review B 2013年第20期88卷 205203-205203页

作者： M. Bozkurt M. R. Mahani P. Studer J.-M. Tang S. R. Schofield N. J. Curson M. E. Flatté A. Yu. Silov C. F. Hirjibehedin C. M. Canali P. M. Koenraad Photonics and Semiconductor Nanophysics Department of Applied Physics Eindhoven University of Technology P.O. Box 513 NL-5600 MB Eindhoven The Netherlands School of Computer Science Physics and Mathematics Linnaeus University 391 82 Kalmar Sweden London Centre for Nanotechnology University College London (UCL) London WC1H 0AH United Kingdom Department of Electronic and Electrical Engineering UCL London WC1E 7JE United Kingdom Department of Physics University of New Hampshire Durham New Hampshire 03824-3520 USA Department of Physics and Astronomy UCL London WC1E 6BT United Kingdom Department of Physics and Astronomy University of Iowa Iowa City Iowa 52242-1479 USA Department of Chemistry UCL London WC1H 0AJ United Kingdom

We investigate the effect of an external magnetic field on the physical properties of the acceptor hole states associated with single Mn acceptors placed near the (110) surface of GaAs. Cross-sectional scanning tunneling microscopy images of the acceptor local density of states (LDOS) show that the strongly anisotropic hole wave function is not significantly affected by a magnetic field up to 6 T. These experimental results are supported by theoretical calculations based on a tight-binding model of Mn acceptors in GaAs. For Mn acceptors on the (110) surface and the subsurfaces immediately underneath, we find that an applied magnetic field modifies significantly the magnetic anisotropy landscape. However, the acceptor hole wave function is strongly localized around the Mn and the LDOS is quite independent of the direction of the Mn magnetic moment. On the other hand, for Mn acceptors placed on deeper layers below the surface, the acceptor hole wave function is more delocalized and the corresponding LDOS is much more sensitive on the direction of the Mn magnetic moment. However, the magnetic anisotropy energy for these magnetic impurities is large (up to 15 meV), and a magnetic field of 10 T can hardly change the landscape and rotate the direction of the Mn magnetic moment away from its easy axis. We predict that substantially larger magnetic fields are required to observe a significant field dependence of the tunneling current for impurities located several layers below the GaAs surface.

关键词： MAGNETIC anisotropy ELECTROPHILES MANGANESE GALLIUM arsenide MAGNETIC fields MATERIALS science

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Erratum to: Measurement of the inclusive jet cross-section in proton-proton collisions at s = 7 TeV using 4.5 fb −1 of data with the ATLAS detector

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Journal of High Energy Physics 2015年第9期2015卷 1-39页

作者： G. Aad B. Abbott J. Abdallah S. Abdel Khalek O. Abdinov R. Aben B. Abi M. Abolins O. S. AbouZeid H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye T. Agatonovic-Jovin J. A. Aguilar-Saavedra M. Agustoni S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson G. Akimoto A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob G. Alimonti L. Alio J. Alison B. M. M. Allbrooke L. J. Allison P. P. Allport J. Almond A. Aloisio A. Alonso F. Alonso C. Alpigiani A. Altheimer B. Alvarez Gonzalez M. G. Alviggi K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders K. J. Anderson A. Andreazza V. Andrei X. S. Anduaga S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi A. Antonaki M. Antonelli A. Antonov J. Antos F. Anulli M. Aoki L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai J. P. Araque A. T. H. Arce J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster O. Arnaez V. Arnal H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay B. Auerbach K. Augsten M. Aurousseau G. Avolio G. Azuelos Y. Azuma M. A. Baak A. Baas C. Bacci H. Bachacou K. Bachas M. Backes M. Backhaus J. Backus Mayes E. Badescu P. Bagiacchi P. Bagnaia Y. Bai T. Bain J. T. Baines O. K. Baker P. Balek F. Balli E. Banas Sw. Banerjee A. A. E. Bannoura V. Bansal H. S. Bansil L. Barak S. P. Baranov E. L. Barberio D. Barberis M. Barbero T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos V. Bartsch A. Bassalat A. Basye R. L. Bates J. R. Batley M. Battaglia M. Battistin F. Bauer H CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman United States Institute of Physics Academia Sinica Taipei Taiwan LAL Université Paris-Sud and CNRS/IN2P3 Orsay France Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Department of Physics Oklahoma State University Stillwater United States Department of Physics and Astronomy Michigan State University East Lansing United States Department of Physics University of Toronto Toronto Canada Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel CERN Geneva Switzerland Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton United States Department of Physics Yale University New Haven United States Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Laboratorio de Instrumentacao e Fisica Experimental de Particulas - LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics University of Bern Bern Switzerland Department of Physics Boston University Boston United States Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN

It was found that the non-perturbative corrections calculated using Pythia with the Perugia 2011 tune did not include the effect of the underlying event. The affected correction factors were recomputed using the Pythia 6.427 generator. These corrections are applied as baseline to the NLO pQCD calculations and thus the central values of the theoretical predictions have changed by a few percent with the new corrections. This has a minor impact on the agreement between the data and the theoretical predictions. Figures 2 and 6 to 13, and all the tables have been updated with the new values. A few sentences in the discussion in sections 5.2 and 9 were altered or removed.

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Search for Higgs Boson Pair Production in the γγbb¯ Final State Using pp Collision Data at s=8 TeV from the ATLAS Detector

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Physical Review Letters 2015年第8期114卷 081802-081802页

作者： G. Aad B. Abbott J. Abdallah S. Abdel Khalek O. Abdinov R. Aben B. Abi M. Abolins O. S. AbouZeid H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye T. Agatonovic-Jovin J. A. Aguilar-Saavedra M. Agustoni S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson G. Akimoto A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob G. Alimonti L. Alio J. Alison B. M. M. Allbrooke L. J. Allison P. P. Allport J. Almond A. Aloisio A. Alonso F. Alonso C. Alpigiani A. Altheimer B. Alvarez Gonzalez M. G. Alviggi K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders K. J. Anderson A. Andreazza V. Andrei X. S. Anduaga S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi A. Antonaki M. Antonelli A. Antonov J. Antos F. Anulli M. Aoki L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai J. P. Araque A. T. H. Arce J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster O. Arnaez V. Arnal H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay B. Auerbach K. Augsten M. Aurousseau G. Avolio G. Azuelos Y. Azuma M. A. Baak A. Baas C. Bacci H. Bachacou K. Bachas M. Backes M. Backhaus J. Backus Mayes E. Badescu P. Bagiacchi P. Bagnaia Y. Bai T. Bain J. T. Baines O. K. Baker P. Balek F. Balli E. Banas Sw. Banerjee A. A. E. Bannoura V. Bansal H. S. Bansil L. Barak S. P. Baranov E. L. Barberio D. Barberis M. Barbero T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos V. Bartsch A. Bassalat A. Basye R. L. Bates L. Batkova J. R. Batley M. Battaglia M. Battistin CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institute of Physics Academia Sinica Taipei Taiwan LAL Université Paris-Sud and CNRS/IN2P3 Orsay France Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Department of Physics Oklahoma State University Stillwater Oklahoma USA Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Department of Physics University of Toronto Toronto Ontario Canada Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel CERN Geneva Switzerland Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Yale University New Haven Connecticut USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Laboratorio de Instrumentacao e Fisica Experimental de Particulas - LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics University of Bern Bern Switzerland Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Italy Dipartimento di Fisica Uni

Searches are performed for resonant and nonresonant Higgs boson pair production in the γγbb¯ final state using 20 fb−1 of proton-proton collisions at a center-of-mass energy of 8 TeV recorded with the ATLAS detector at the CERN Large Hadron Collider. A 95% confidence level upper limit on the cross section times branching ratio of nonresonant production is set at 2.2 pb, while the expected limit is 1.0 pb. The difference derives from a modest excess of events, corresponding to 2.4 standard deviations from the background-only hypothesis. The limit observed in the search for a narrow X→hh resonance ranges between 0.7 and 3.5 pb as a function of the resonance mass.

关键词： HIGGS bosons PAIR production HADRON colliders PROTON-proton interactions RESONANCE

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Measurements of the Nuclear Modification Factor for Jets in Pb+Pb Collisions at sNN=2.76 TeV with the ATLAS Detector

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Physical Review Letters 2015年第7期114卷 072302-072302页

作者： G. Aad B. Abbott J. Abdallah S. Abdel Khalek O. Abdinov R. Aben B. Abi M. Abolins O. S. AbouZeid H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye T. Agatonovic-Jovin J. A. Aguilar-Saavedra M. Agustoni S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson G. Akimoto A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob G. Alimonti L. Alio J. Alison B. M. M. Allbrooke L. J. Allison P. P. Allport J. Almond A. Aloisio A. Alonso F. Alonso C. Alpigiani A. Altheimer B. Alvarez Gonzalez M. G. Alviggi K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders K. J. Anderson A. Andreazza V. Andrei X. S. Anduaga S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi A. Antonaki M. Antonelli A. Antonov J. Antos F. Anulli M. Aoki L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai J. P. Araque A. T. H. Arce J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster O. Arnaez V. Arnal H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay B. Auerbach K. Augsten M. Aurousseau G. Avolio G. Azuelos Y. Azuma M. A. Baak A. E. Baas C. Bacci H. Bachacou K. Bachas M. Backes M. Backhaus J. Backus Mayes E. Badescu P. Bagiacchi P. Bagnaia Y. Bai T. Bain J. T. Baines O. K. Baker P. Balek F. Balli E. Banas Sw. Banerjee A. A. E. Bannoura V. Bansal H. S. Bansil L. Barak S. P. Baranov E. L. Barberio D. Barberis M. Barbero T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos V. Bartsch A. Bassalat A. Basye R. L. Bates J. R. Batley M. Battaglia M. Battistin F. Baue CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institute of Physics Academia Sinica Taipei Taiwan LAL Université Paris-Sud and CNRS/IN2P3 Orsay France Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Department of Physics Oklahoma State University Stillwater Oklahoma USA Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Department of Physics University of Toronto Toronto Ontario Canada Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel CERN Geneva Switzerland Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Yale University New Haven Connecticut USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Laboratorio de Instrumentacao e Fisica Experimental de Particulas-LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada (Spain) Portugal Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics University of Bern Bern Switzerland Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Italy Dipartimento di Fi

Measurements of inclusive jet production are performed in pp and Pb+Pb collisions at sNN=2.76 TeV with the ATLAS detector at the LHC, corresponding to integrated luminosities of 4.0 and 0.14 nb−1, respectively. The jets are identified with the anti-kt algorithm with R=0.4, and the spectra are measured over the kinematic range of jet transverse momentum 32

关键词： QUASIMOLECULES COLLISION theory (Chemistry) LUMINOSITY ALGORITHMS ASTROPHYSICAL jets

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Exploring complex networks via topological embedding on surfaces

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Physical Review E 2012年第3期86卷 036109-036109页

作者： Tomaso Aste Ruggero Gramatica T. Di Matteo School of Physical Sciences University of Kent CT2 7NZ United Kingdom Applied Mathematics Research School of Physics and Engineering The Australian National University Canberra ACT 0200 Australia Department of Computer Science University College London Gower Street London WC1E 6BT United Kingdom Department of Mathematics King's College London London WC2R 2LS United Kingdom

We demonstrate that graphs embedded on surfaces are a powerful and practical tool to generate, to characterize, and to simulate networks with a broad range of properties. Any network can be embedded on a surface with sufficiently high genus and therefore the study of topologically embedded graphs is non-restrictive. We show that the local properties of the network are affected by the surface genus which determines the average degree, which influences the degree distribution, and which controls the clustering coefficient. The global properties of the graph are also strongly affected by the surface genus which is constraining the degree of interwovenness, changing the scaling properties of the network from large-world kind (small genus) to small- and ultrasmall-world kind (large genus). Two elementary moves allow the exploration of all networks embeddable on a given surface and naturally introduce a tool to develop a statistical mechanics description for these networks. Within such a framework, we study the properties of topologically embedded graphs which dynamically tend to lower their energy towards a ground state with a given reference degree distribution. We show that the cooling dynamics between high and low “temperatures” is strongly affected by the surface genus with the manifestation of a glass-like transition occurring when the distance from the reference distribution is low. We prove, with examples, that topologically embedded graphs can be built in a way to contain arbitrary complex networks as subgraphs. This method opens a new avenue to build geometrically embedded networks on hyperbolic manifolds.

关键词： EMBEDDINGS (mathematics) computer networks GRAPH theory CLUSTER analysis (Statistics) SUBGRAPHS TOPOLOGICAL degree

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Contour-based recognition

Contour-based recognition

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： Yong Xu Yuhui Quan Zhuming Zhang Hui Ji Cornelia Fermüller Morimichi Nishigaki Daniel Dementhon School of Computer Science & Engineering South China Univ. of Tcch. Guangzhou China Department of Mathematics National University of Singapore Singapore Institute for Advanced Computer Studies University of Maryland College Park MD U.S.A. Applied Physics Lab Johns Hopkins University Baltimore MD U.S.A.

Contour is an important cue for object recognition. In this paper, built upon the concept of torque in image space, we propose a new contour-related feature to detect and describe local contour information in images. There are two components for our proposed feature: One is a contour patch detector for detecting image patches with interesting information of object contour, which we call the Maximal/Minimal Torque Patch (MTP) detector. The other is a contour patch descriptor for characterizing a contour patch by sampling the torque values, which we call the Multi-scale Torque (MST) descriptor. Experiments for object recognition on the Caltech-101 dataset showed that the proposed contour feature outperforms other contour-related features and is on a par with many other types of features. When combing our descriptor with the complementary SIFT descriptor, impressive recognition results are observed.

关键词： Torque Detectors Image edge detection Feature extraction Shape Vectors Force

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