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ICMLA
2007
13 years 10 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
SP
2008
IEEE
140views Security Privacy» more  SP 2008»
13 years 8 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...
TSP
2010
13 years 3 months ago
A deflation procedure for subspace decomposition
A general deflation framework is described for the separation of a desired signal subspace of arbitrary dimensions from noisy multichannel observations. The method simultaneously u...
Reza Sameni, Christian Jutten, Mohammad Bagher Sha...
ICIP
2007
IEEE
14 years 10 months ago
Content Adaptive Heterogeneous Snakes
Active contour (snake) approaches have been proved to be efficient tools to extract object boundary precisely. One drawback of these methods is that state-of-the-art snake algorit...
András Hajdu, Ioannis Pitas
DAC
2004
ACM
14 years 9 months ago
Large-scale full-wave simulation
We describe a new extraction tool, EMX (Electro-Magnetic eXtractor), for the analysis of RF, analog and high-speed digital circuits. EMX is a fast full-wave field solver. It incor...
Sharad Kapur, David E. Long