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ICMLA
2007
15 years 5 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
146
Voted
SP
2008
IEEE
140views Security Privacy» more  SP 2008»
15 years 3 months ago
Knowledge support and automation for performance analysis with PerfExplorer 2.0
The integration of scalable performance analysis in parallel development tools is difficult. The potential size of data sets and the need to compare results from multiple experime...
Kevin A. Huck, Allen D. Malony, Sameer Shende, Ala...
PAMI
1998
128views more  PAMI 1998»
15 years 3 months ago
A Hierarchical Latent Variable Model for Data Visualization
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
Christopher M. Bishop, Michael E. Tipping
TJS
2010
89views more  TJS 2010»
15 years 1 months ago
Metacube - a versatile family of interconnection networks for extremely large-scale supercomputers
The high-performance supercomputers will consist of several millions of CPUs in the next decade. The interconnection networks in such supercomputers play an important role for achi...
Yamin Li, Shietung Peng, Wanming Chu
153
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VR
2010
IEEE
198views Virtual Reality» more  VR 2010»
15 years 1 months ago
Virtual Experience Test: A virtual environment evaluation questionnaire
We present the development and evaluation of the Virtual Experience Test (VET). The VET is a survey instrument used to measure holistic virtual environment experiences based upon ...
Dustin B. Chertoff, Brian Goldiez, Joseph J. LaVio...