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» Adaptive K-Means Clustering
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IPPS
2003
IEEE
15 years 3 months ago
MUSE: A Software Oscilloscope for Clusters and Grids
Oscilloscopes and their cousins, logic analyzers, are the tools of choice for difficult electronic hardware problems. In the hands of a skilled engineer or technician, these tool...
Mark K. Gardner, Michael Broxton, Adam Engelhart, ...
IEICET
2008
136views more  IEICET 2008»
14 years 9 months ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
JMLR
2010
175views more  JMLR 2010»
14 years 4 months ago
Hierarchical Convex NMF for Clustering Massive Data
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...
CIMCA
2008
IEEE
15 years 4 months ago
A Clustering Based Denoising Technique for Range Images of Time of Flight Cameras
A relatively new technique for measuring the 3D structure of visual scenes is provided by time of flight (TOF) cameras. Reflections of modulated light waves are recorded by a pa...
Holger Schöner, Bernhard Moser, Adrian A. Dor...
EGPGV
2011
Springer
330views Visualization» more  EGPGV 2011»
14 years 1 months ago
Real-Time Ray Tracer for Visualizing Massive Models on a Cluster
We present a state of the art read-only distributed shared memory (DSM) ray tracer capable of fully utilizing modern cluster hardware to render massive out-of-core polygonal model...
Thiago Ize, Carson Brownlee, Charles D. Hansen