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» Large-scale manifold learning
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AROBOTS
2011
13 years 4 months ago
Large scale graph-based SLAM using aerial images as prior information
— To effectively navigate in their environments and accurately reach their target locations, mobile robots require a globally consistent map of the environment. The problem of le...
Rainer Kümmerle, Bastian Steder, Christian Do...
WSDM
2010
ACM
251views Data Mining» more  WSDM 2010»
14 years 7 months ago
Large Scale Query Log Analysis of Re-Finding
Although Web search engines are targeted towards helping people find new information, people regularly use them to re-find Web pages they have seen before. Researchers have noted ...
Jaime Teevan, Sarah K. Tyler
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
14 years 4 months ago
Exploiting Local and Global Invariants for the Management of Large Scale Information Systems
This paper presents a data oriented approach to modeling the complex computing systems, in which an ensemble of correlation models are discovered to represent the system status. I...
Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yo...
HPDC
2000
IEEE
14 years 2 months ago
Creating Large Scale Database Servers
The BaBar experiment at the Stanford Linear Accelerator Center (SLAC) is designed to perform a high precision investigation of the decays of the B-meson produced from electron-pos...
Jacek Becla, Andrew Hanushevsky
SIAMIS
2011
13 years 4 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch