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» Kernels for Global Constraints
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ICPR
2008
IEEE
14 years 4 months ago
A 2D model for face superresolution
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
B. G. Vijay Kumar, Rangarajan Aravind
GLVLSI
2007
IEEE
111views VLSI» more  GLVLSI 2007»
14 years 4 months ago
Probabilistic gate-level power estimation using a novel waveform set method
A probabilistic power estimation technique for combinational circuits is presented. A novel set of simple waveforms is the kernel of this technique. The transition density of each...
Saeeid Tahmasbi Oskuii, Per Gunnar Kjeldsberg, Ein...
ICCV
2007
IEEE
14 years 4 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
IPPS
2007
IEEE
14 years 4 months ago
Library Function Selection in Compiling Octave
One way to address the continuing performance problem of high-level domain-specific languages, such as Octave or MATLAB, is to compile them to a relatively lower level language f...
Daniel McFarlin, Arun Chauhan
IPPS
2007
IEEE
14 years 4 months ago
Optimizing Inter-Nest Data Locality Using Loop Splitting and Reordering
With the increasing gap between processor speed and memory latency, the performance of data-dominated programs are becoming more reliant on fast data access, which can be improved...
Sofiane Naci