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CVPR
2010
IEEE
13 years 10 months ago
Large-Scale Image Categorization with Explicit Data Embedding
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
Florent Perronnin, Jorge Sanchez, Yan Liu
DAC
2008
ACM
14 years 8 months ago
An integrated nonlinear placement framework with congestion and porosity aware buffer planning
Due to skewed scaling of interconnect delay and cell delay with technology scaling, modern VLSI timing closure requires use of extensive buffer insertion. Inserting a large number...
Tung-Chieh Chen, Ashutosh Chakraborty, David Z. Pa...
MP
2002
195views more  MP 2002»
13 years 7 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak
SCALESPACE
2005
Springer
14 years 29 days ago
Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs
Stabilised backward diffusion processes have shown their use for a number of image enhancement tasks. The goal of this paper is to show that they are also highly useful for designi...
Michael Breuß, Thomas Brox, Thomas Sonar, Jo...
IJCV
1998
168views more  IJCV 1998»
13 years 7 months ago
Rapid Anisotropic Diffusion Using Space-Variant Vision
Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructe...
Bruce Fischl, Michael A. Cohen, Eric L. Schwartz