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» Performance Characterization of Landmark Operators
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ICASSP
2009
IEEE
13 years 5 months ago
Ensembles of landmark multidimensional scalings
Landmark multidimensional scaling (LMDS) uses a subset of data (landmark points) to solve classical MDS, where the scalability is increased but the approximation is noise-sensitiv...
Seunghak Lee, Seungjin Choi
ICPPW
2009
IEEE
13 years 5 months ago
Characterizing the Performance of
Using Linux for high-performance applications on the compute nodes of IBM Blue Gene/P is challenging because of TLB misses and difficulties with programming the network DMA engine...
Kazutomo Yoshii, Kamil Iskra, Harish Naik, Pete Be...
WWW
2003
ACM
14 years 8 months ago
Dynamic maintenance of web indexes using landmarks
Recent work on incremental crawling has enabled the indexed document collection of a search engine to be more synchronized with the changing World Wide Web. However, this synchron...
Lipyeow Lim, Min Wang, Sriram Padmanabhan, Jeffrey...
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
14 years 2 months ago
Using symmetrical regions of interest to improve visual SLAM
— Simultaneous Localization and Mapping (SLAM) based on visual information is a challenging problem. One of the main problems with visual SLAM is to find good quality landmarks,...
Gert Kootstra, Lambert Schomaker
IISWC
2008
IEEE
14 years 1 months ago
Characterizing and improving the performance of Intel Threading Building Blocks
Abstract— The Intel Threading Building Blocks (TBB) runtime library [1] is a popular C++ parallelization environment [2][3] that offers a set of methods and templates for creatin...
Gilberto Contreras, Margaret Martonosi