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» Complexity reduction of C-Algorithm
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ACSC
2005
IEEE
15 years 7 months ago
The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
ACNS
2005
Springer
85views Cryptology» more  ACNS 2005»
15 years 6 months ago
New Signature Schemes with Coupons and Tight Reduction
Amongst provably secure signature schemes, two distinct classes are of particular interest: the ones with tight reduction (e.g., RSA-PSS), and those which support the use of coupon...
Benoît Chevallier-Mames
ICCAD
1996
IEEE
164views Hardware» more  ICCAD 1996»
15 years 5 months ago
A novel dimension reduction technique for the capacitance extraction of 3D VLSI interconnects
In this paper, we present a new capacitance extraction method named Dimension Reduction Technique (DRT) for 3D VLSI interconnects. The DRT converts a complex 3D problem into a ser...
Wei Hong II, Weikai Sun, Zhenhai Zhu, Hao Ji, Ben ...
DAC
2005
ACM
15 years 3 months ago
A design platform for 90-nm leakage reduction techniques
Methodology, EDA Flow, scripts, and documentation plays a tremendous role in the deployment and standardization of advanced design techniques. In this paper we focus not only on l...
Philippe Royannez, Hugh Mair, Franck Dahan, Mike W...
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
15 years 2 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha