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» Modeling and Analysis of Space Based Transceivers
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NIPS
2008
13 years 10 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
AUTOMATICA
2011
13 years 3 months ago
Stability analysis of nonlinear quadratic systems via polyhedral Lyapunov functions
— Quadratic systems play an important role in the modeling of a wide class of nonlinear processes (electrical, robotic, biological, etc.). For such systems it is of mandatory imp...
Francesco Amato, Francesco Calabrese, Carlo Cosent...
ICCD
2005
IEEE
176views Hardware» more  ICCD 2005»
14 years 5 months ago
A Formal Framework for Modeling and Analysis of System-Level Dynamic Power Management
Recent advances in Dynamic Power Management (DPM) techniques have resulted in designs that support a rich set of power management options, both at the hardware and software levels...
Shrirang M. Yardi, Karthik Channakeshava, Michael ...
APN
2000
Springer
14 years 7 days ago
Efficient Symbolic State-Space Construction for Asynchronous Systems
Many techniques for the verification of reactive systems rely on the analysis of their reachable state spaces. In this paper, a new algorithm for the symbolic generation of the sta...
Gianfranco Ciardo, Gerald Lüttgen, Radu Simin...
ICIP
2010
IEEE
13 years 6 months ago
Probing the local-feature space of interest points
We describe an empirical study on the feature space of interest points for natural images. Although local features have been widely used in image analysis as building blocks of va...
Wei-Ting Lee, Hwann-Tzong Chen