Appearance-Based Landmark Selection for Efficient Long-Term Visual Localization Mathias B¨urki, Igor Gilitschenski, Elena Stumm, Roland Siegwart, and Juan Nieto Autonomous Systems Lab, ETH Z¨urich {firstname.lastname}@

Source URL: www.researchgate.net

Universal Multiple-Octet Coded Character Set UCS ISO/IEC JTC1/SC2/WG2 IRG N1037 Date: Doc. Type: Member body contribution

Source URL: appsrv.cse.cuhk.edu.hk

• Ideographic Rapporteur Group
• Internationalization and localization
• Unicode

PowerPoint 프레젠테이션

Source URL: image-net.org

• Conference on Computer Vision and Pattern Recognition
• Localization

Strategies for Local Adoption Campaigns: Successes and Lessons Learned from Localization Grantees Peer to Peer Meeting | August 20, 2015 Jill Marshall May Director, The National Resource Center for Diligent Recruitment a

Source URL: www.nrcdr.org

A Holistic Approach to Decentralized Structural Damage Localization Using Wireless Sensor Networks Gregory Hackmanna,∗, Fei Suna , Nestor Castanedab , Chenyang Lua , Shirley Dykec a Washington

Source URL: www.cse.wustl.edu

Privacy-Preserving Indoor Localization on Smartphones (Extended Abstract) Andreas Konstantinidis ∗, Georgios Chatzimilioudis∗ , Demetrios Zeinalipour-Yazti∗ , Paschalis Mpeis † , Nikos Pelekis‡ and Yannis Theod

Source URL: www.cs.ucy.ac.cy

Experimental Analysis of a UAV-Based Wireless Power Transfer Localization System Andrew Mittleider1 , Brent Griffin1,2 , and Carrick Detweiler1 1 Nebraska Intelligent MoBile Unmanned Systems (NIMBUS) Lab

Source URL: cse.unl.edu

Enhancement of the critical temperature of superconductors by Anderson localization Igor Burmistrov Landau Institute for Theoretical Physics Mesoscopic and strongly correlated electron systems – 6

Source URL: meso12.itp.ac.ru

LOCALIZATION OF ATOMS OF CARBON IN THE CRYSTAL LATTICE OF NICKEL N. A. Skakun, M. V. Vashchenko Channeling of accelerated protons technique was used for determination of carbon atoms location in Ni crystal lattice. 13C i

Source URL: jnpae.kinr.kiev.ua

CONFIDENTIAL. Limited circulation. For review only. Tumor Localization using Automated Palpation with Gaussian Process Adaptive Sampling Animesh Garg1,2 , Siddarth Sen2 , Rishi Kapadia2 , Yiming Jen2 , Stephen McKinley3

Source URL: goldberg.berkeley.edu

• Medical imaging
• Signal processing
• Palpation
• Physical examination
• Elastography
• Image segmentation
• Normal distribution
• Gaussian process
• Estimation theory
• Magnetic resonance elastography
• Haptic technology
• Variance