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NIPS
2008
15 years 8 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre
RTS
2006
132views more  RTS 2006»
15 years 6 months ago
A framework for modular analysis and exploration of heterogeneous embedded systems
Abstract The increasing complexity of heterogeneous systems-on-chip, SoC, and distributed embedded systems makes system optimization and exploration a challenging task. Ideally, a ...
Arne Hamann, Marek Jersak, Kai Richter, Rolf Ernst
TWC
2008
150views more  TWC 2008»
15 years 6 months ago
Design and analysis of post-coded OFDM systems
This paper discusses the design and analysis of post coded OFDM (PC-OFDM) systems. Coded or precoded OFDM systems are generally employed to overcome the symbol recovery problem in...
S. F. A. Shah, Ahmed H. Tewfik
246
Voted
ANCS
2005
ACM
16 years 10 days ago
Fast and scalable pattern matching for content filtering
High-speed packet content inspection and filtering devices rely on a fast multi-pattern matching algorithm which is used to detect predefined keywords or signatures in the packe...
Sarang Dharmapurikar, John W. Lockwood
HICSS
1997
IEEE
107views Biometrics» more  HICSS 1997»
15 years 11 months ago
On Heuristic Mapping of Decision Surfaces for Post-Evaluation Analysis
The value for decision making of high-quality postsolution analysis of decision-supporting models can hardly be overestimated. Candle-lighting analysis (CLA) takes this notion ver...
Major Bill Branley, Russell Fradin, Steven O. Kimb...