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TSMC
2008
99views more  TSMC 2008»
13 years 7 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
ASPDAC
2000
ACM
159views Hardware» more  ASPDAC 2000»
14 years 8 days ago
Analytical minimization of half-perimeter wirelength
Global placement of hypergraphs is critical in the top-down placement of large timing-driven designs 10, 16 . Placement quality is evaluated in terms of the half-perimeter wirelen...
Andrew A. Kennings, Igor L. Markov
ICPR
2006
IEEE
14 years 9 months ago
Robust Segmentation of Hidden Layers in Video Sequences
In this paper, we propose a novel and robust method for extracting motion layers in video sequences. Taking advantage of temporal continuity, our framework considers both the visi...
Romain Dupont, Olivier Juan, Renaud Keriven
ICPR
2000
IEEE
14 years 9 months ago
Robust Fitting of Implicit Polynomials with Quantized Coefficients to 2D Data
This work presents a new approach to contour representation and coding. It consists of an improved fitting of high-degree (4th to 18th ) implicit polynomials (IPs) to the contour,...
Amir Helzer, Meir Barzohar, David Malah
FMSD
2008
64views more  FMSD 2008»
13 years 8 months ago
Robust safety of timed automata
Timed automata are governed by an idealized semantics that assumes a perfectly precise behavior of the clocks. The traditional semantics is not robust because the slightest perturb...
Martin De Wulf, Laurent Doyen, Nicolas Markey, Jea...