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ECCV
2006
Springer
16 years 3 months ago
Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
Tony Lin, Hongbin Zha, Sang Uk Lee
ISBI
2004
IEEE
16 years 2 months ago
Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Olivier D. Faugeras, Bertrand Thirion
ICCD
2004
IEEE
97views Hardware» more  ICCD 2004»
15 years 10 months ago
A General Post-Processing Approach to Leakage Current Reduction in SRAM-Based FPGAs
A negative effect of ever-shrinking supply and threshold voltages is the larger percentage of total power consumption that comes from leakage current. Several techniques have been...
John Lach, Jason Brandon, Kevin Skadron
ICCD
2002
IEEE
93views Hardware» more  ICCD 2002»
15 years 10 months ago
Impact of Scaling on the Effectiveness of Dynamic Power Reduction Schemes
Power is considered to be the major limiter to the design of more faster and complex processors in the near future. In order to address this challenge, a combination of process, c...
David Duarte, Narayanan Vijaykrishnan, Mary Jane I...
ICCAD
2006
IEEE
95views Hardware» more  ICCAD 2006»
15 years 10 months ago
Timing model reduction for hierarchical timing analysis
— In this paper, we propose a timing model reduction algorithm for hierarchical timing analysis based on a bicliquestar replacement technique. In hierarchical timing analysis, ea...
Shuo Zhou, Yi Zhu, Yuanfang Hu, Ronald L. Graham, ...