1,679,247 research outputs found

    AXES at TRECVID 2012: KIS, INS, and MED

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    The AXES project participated in the interactive instance search task (INS), the known-item search task (KIS), and the multimedia event detection task (MED) for TRECVid 2012. As in our TRECVid 2011 system, we used nearly identical search systems and user interfaces for both INS and KIS. Our interactive INS and KIS systems focused this year on using classifiers trained at query time with positive examples collected from external search engines. Participants in our KIS experiments were media professionals from the BBC; our INS experiments were carried out by students and researchers at Dublin City University. We performed comparatively well in both experiments. Our best KIS run found 13 of the 25 topics, and our best INS runs outperformed all other submitted runs in terms of P@100. For MED, the system presented was based on a minimal number of low-level descriptors, which we chose to be as large as computationally feasible. These descriptors are aggregated to produce high-dimensional video-level signatures, which are used to train a set of linear classifiers. Our MED system achieved the second-best score of all submitted runs in the main track, and best score in the ad-hoc track, suggesting that a simple system based on state-of-the-art low-level descriptors can give relatively high performance. This paper describes in detail our KIS, INS, and MED systems and the results and findings of our experiments

    AXES at TRECVid 2011

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    The AXES project participated in the interactive known-item search task (KIS) and the interactive instance search task (INS) for TRECVid 2011. We used the same system architecture and a nearly identical user interface for both the KIS and INS tasks. Both systems made use of text search on ASR, visual concept detectors, and visual similarity search. The user experiments were carried out with media professionals and media students at the Netherlands Institute for Sound and Vision, with media professionals performing the KIS task and media students participating in the INS task. This paper describes the results and findings of our experiments

    Visualizing electron pockets in cuprate superconductors

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    Fingerprint of the electron-pocket in cuprates has been obtained only in numerous magneto-transport measurements, but its absence in spectroscopic observations pose a long-standing mystery. We develop a theoretical tool to provide ways to detect electron-pockets via numerous spectroscopies including scanning tunneling microscopy (STM) spectra, inelastic neutron scattering (INS), and angle-resolved photoemission spectroscopy (ARPES). We show that the quasiparticle-interference (QPI) pattern, measured by STM, shows additional 7 q{\bm q} vectors associated with the scattering on the electron-pocket, than that on the hole-pocket. Furthermore, the Bogolyubov quasiparticle scatterings of the electron pocket may lead to a second magnetic resonance mode in the INS spectra at a higher resonance energy. Finally, we reanalyze some STM, INS, and ARPES experimental data of several cuprate compounds which dictates the direct fingerprints of electron pockets in these systems.Comment: 10 pages, 6 figures, submitte

    Competitive provision of tune-ins under common private information

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    Television (TV) stations forego millions of dollars of advertising revenues by airing tune-ins (preview advertisements) for their upcoming programs. In this paper, I analyze the equilibrium as well as welfare properties of tune-ins in a duopolistic TV market that lasts for two periods. Importantly, each TV station is fully informed about its own as well as its rival's program. Viewers receive information via tune-ins, if any, or alternatively by sampling a program for a few minutes (and switching across stations). I find that equilibrium tune-in decisions do not necessarily depend on TV stations' knowledge of their rival's program. In this case, the opportunity costs of tune-ins could be so high that a regime without any tune-ins may be socially better. However, when tune-ins depend on both of the upcoming programs, it is possible that they enhance welfare by helping viewers avoid some of the inefficient program sampling they would otherwise do in a regime without any tune-ins

    Incommensurate structure factor in a hole-doped spin-1 system

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    The nickelate compound Y_{2}BaNiO_{5} is a spin-1 Haldane-gap antiferromagnet. The compound is doped with holes on replacing the off-chain Y^{3+} ions by Ca^{2+} ions. Inelastic neutron scattering (INS) experiments reveal the existence of sub-gap states on doping. A recent INS experiment provides evidence for an incommensurate double-peaked structure factor S(q) corresponding to the sub-gap states. In this paper, we formulate a microscopic theory for the origin of the incommensurate peak.Comment: 14 Pages, Latex, 3 Figure

    Improved navigation by combining VOR/DME information with air or inertial data

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    The improvement was determined in navigational accuracy obtainable by combining VOR/DME information (from one or two stations) with air data (airspeed and heading) or with data from an inertial navigation system (INS) by means of a maximum-likelihood filter. It was found that the addition of air data to the information from one VOR/DME station reduces the RMS position error by a factor of about 2, whereas the addition of inertial data from a low-quality INS reduces the RMS position error by a factor of about 3. The use of information from two VOR/DME stations with air or inertial data yields large factors of improvement in RMS position accuracy over the use of a single VOR/DME station, roughly 15 to 20 for the air-data case and 25 to 35 for the inertial-data case. As far as position accuracy is concerned, at most one VOR station need be used. When continuously updating an INS with VOR/DME information, the use of a high-quality INS (0.01 deg/hr gyro drift) instead of a low-quality INS (1.0 deg/hr gyro drift) does not substantially improve position accuracy
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