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ICPR
2004
IEEE
14 years 10 months ago
Relevant Linear Feature Extraction Using Side-information and Unlabeled Data
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Changshui Zhang, Fei Wu, Yonglei Zhou
HAPTICS
2007
IEEE
14 years 3 months ago
Force Feedback is Noticeably Different for Linear versus Nonlinear Elastic Tissue Models
Realistic modeling of the interaction between surgical instruments and human organs has been recognized as a key requirement in the development of high-fidelity surgical simulato...
Sarthak Misra, Allison M. Okamura, K. T. Ramesh
CVPR
2007
IEEE
14 years 11 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
HYBRID
2010
Springer
14 years 3 months ago
Compositional analysis for linear control systems
The complexity of physical and engineering systems, both in terms of the governing physical phenomena and the number of subprocesses involved, is mirrored in ever more complex mat...
Florian Kerber, Arjan van der Schaft
JSAC
2008
117views more  JSAC 2008»
13 years 9 months ago
A design framework for limited feedback MIMO systems with zero-forcing DFE
Abstract--We consider the design of multiple-input multipleoutput communication systems with a linear precoder at the transmitter, zero-forcing decision feedback equalization (ZFDF...
Michael Botros Shenouda, Timothy N. Davidson