SlideFinderPowerPoint search engine with thumbnail results
Advanced search
Newest Viewed Downloaded

Universities > United States Showing 1 - 20 of 2234 items

(Rutgers University)

Rutgers, The State University of New Jersey (usually referred to as Rutgers University), is the largest institution for higher education in New Jersey. It was originally chartered as Queen's College in 1766 and is the eighth-oldest college in the United States. Rutgers was originally a private university affiliated with the Dutch Reformed Church and admitted only male students, but evolved into and is presently a nonsectarian, coeducational public research university that makes no religious demands of its students. Rutgers is one of only two colonial colleges that later became public universities. (The other is the College of William and Mary).

More information: http://en.wikipedia.org/wiki/Rutgers,_the_State_University_of_New_Jersey

Looks can be deceiving! 25% of hamburgers turn brown before they’re safe to eat. Use a food thermometer to know for sure! Cook your hamburger to 165° F. Looks can be deceiving! 25% of hamburgers turn brown before they’re safe to eat. Use a food thermometer to know for sure! Cook your hamburger to 165° F.

Think you know how to wash your hands? 62% of college students don’t! Use soap and water. Rub together 20 seconds. Rinse and dry.

Randomface : test image; : sparse indicator for identity Face recognition only and can handle the misaligned test image Proposed TSR based approach : test image; : sparse indicator for identity; : alignment parameter Simultaneous face alignment and recognition as we can recover both and Traditional video registration approach Brightness constancy assumption Cannot handle dynamic texture registration Previous Dynamic texture approach Registration and dynamic texture representation are separated Cannot optimize the solution in one framework and thus the solutions are sub-optimal not online TSR based online registration sparse representation constancy assumption Given a new frame, its aligned version should be sparsely represented by the preceding frames : the incoming new image frame; : sparse indicator based on preceding frames; : the registration parameter; : the measurement matrix based on preceding image frames TSR Based Face Alignment&Recognition TSR Based Dynamic Texture Registration Extended Yale B database Moving flower bed sequence 2.09% FEF; 5 seconds in MATLAB Experiments on Face Data Experiments on Dynamic Scene Sequence 1st 2nd 3rd Bergen’s [3] 22.55% 21.86% 23.25% Proposed 1.39% 1.48% 1.36% Simultaneous Image Transformation and Sparse Representation Recovery 1 Division of Computer and Informa...

Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Rutgers University Electronic Structure of Strongly Correlated Electron Materials: A Dynamical Mean Field Perspective. Collaborators: G.Kotliar, S. Savrasov, V. Oudovenko

Imposing the Froissart Bound on Hadronic Interactions: Part I, p-air cross sections Martin Block Northwestern University

Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Electronic Structure of Actinides: A Dynamical Mean Field Perspective. UC Davis Collaborators: G.Kotliar, Ji-Hoon Shim, S. Savrasov
Band structure of strongly correlated materials from the Dynamical Mean Field perspective K Haule Rutgers University Collaborators : J.H. Shim & Gabriel Kotliar, S. Savrasov

Band structure of strongly correlated materials from the Dynamical Mean Field perspective K Haule Rutgers University Collaborators : J.H. Shim & Gabriel Kotliar, S. Savrasov
Band structure of strongly correlated materials from the Dynamical Mean Field perspective K Haule Rutgers University Collaborators : J.H. Shim & Gabriel Kotliar

Band structure of strongly correlated materials from the Dynamical Mean Field perspective K Haule Rutgers University Collaborators : J.H. Shim & Gabriel Kotliar

Introduction The main systematic uncertainties that are introduced in the measurement of the ultra-high energy cosmic ray spectrum with the High Resolution Fly’s Eye experiment (HiRes) are uncertainties in the energy scale from phototube calibration (±10 %), fluorescence yield (±10 %), “missing energy” correction (±5 %) and aerosol concentration (±9 %). Including the atmospheric uncertainty in the aperture estimation, the systematic uncertainty in the measured energy spectrum is ~ 31 %. For these studies, we have used the simulation and reconstruction programs of the HiRes-II data analysis to examine additional systematics that can affect the simulation of the HiRes aperture and the reconstructed energies. We have considered the effects of varying the different assumptions that are adopted in our Monte Carlo (MC) simulation programs. Variations in the shape of the input energy spectrum and input composition, in the hadronic interaction model used in our “shower library” , and in the description of the aerosol content of the atmosphere have been studied. Studies of Systematic Uncertainties in the HiRes-II Spectrum Andreas Zech (for the High Resolution Fly’s Eye Collaboration) Rutgers University & LPNHE, Université de Paris, aszech@lpnhep.in2p3.fr Conclusions None of the potential sources of systematic uncertainties we have studied here contribute significantly to our published estimate. Adjusting the input energy spectrum to the shape of the measured s...

Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Uncovering the secrets of Actinides using Dynamical Mean Field Theory. SCES 07 - Houston Collaborators: Ji-Hoon Shim, G.Kotliar

Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Rutgers University Electronic Structure of Strongly Correlated Electron Materials: A Dynamical Mean Field Perspective. Miniworkshop on New States of Stable and Unstable Quantum Matter, Trst 2006 Collaborators: G.Kotliar, Ji-Hoon Shim, S. Savrasov
Band structure of strongly correlated materials from the Dynamical Mean Field perspective K Haule Rutgers University Collaborators : J.H. Shim & Gabriel Kotliar

Band structure of strongly correlated materials from the Dynamical Mean Field perspective K Haule Rutgers University Collaborators : J.H. Shim & Gabriel Kotliar

Kristjan Haule, Physics Department and Center for Materials Theory Rutgers University Rutgers University Electronic Structure of Strongly Correlated Electron Materials: A Dynamical Mean Field Perspective. ICAM Symposium on Frontiers in Correlated Matter, Snowmass 2006 Collaborators: G.Kotliar, S. Savrasov, V. Oudovenko
The RR charge of orientifolds arXiv:0906.0795 and work in progress with Jacques Distler & Dan Freed

The RR charge of orientifolds arXiv:0906.0795 and work in progress with Jacques Distler & Dan Freed

TexPoint fonts used in EMF: AAAAAAAAAAAAAAA … Michigan Conference on Topology and Physics, Gregory Moore, Rutgers University Feb. 7, 2010 Turn off wireless. Test if audio is on. Thank the organizers. 37 minutes – still needs to be cut. It’s an honor to be giving this talk here in Madrid. I’ll be talking about my work with Frederik Denef on supersymmetric black holes motivated by our attempt to prove the OSV conjecture. There were 4 talks on the subject last year, but in the meantime we have understood much better what we are doing, and – as you will see, there are still some important open problems.
Non equilibrium noise as a probe of the Kondo effect in mesoscopic wires Eran Lebanon Rutgers University with Piers Coleman arXiv: cond-mat/0501001

Non equilibrium noise as a probe of the Kondo effect in mesoscopic wires Eran Lebanon Rutgers University with Piers Coleman arXiv: cond-mat/0501001

DOE grant DE-FE02-00ER45790
Modeling the Localized to Itinerant Electronic Transition in the Heavy Fermion System CeIrIn5 K Haule Rutgers University Collaborators : J.H. Shim & Gabriel Kotliar

Modeling the Localized to Itinerant Electronic Transition in the Heavy Fermion System CeIrIn5 K Haule Rutgers University Collaborators : J.H. Shim & Gabriel Kotliar
Energy and the Global Environment for the Physicist as Researcher and Teacher Robert Socolow Princeton University socolow@princeton.edu Department of Physics Rutgers University October 11, 2006

Energy and the Global Environment for the Physicist as Researcher and Teacher Robert Socolow Princeton University socolow@princeton.edu Department of Physics Rutgers University October 11, 2006
Strongly correlated materials from Dynamical Mean Field Perspective.

Strongly correlated materials from Dynamical Mean Field Perspective.

DMFT(SUNCA method) two-band Hubbard model Bethe lattice, U=4D Thanks to: G.Kotliar, S. Savrasov, V. Oudovenko

12345 Next >>
Sitemap