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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 3 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
110
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ECCV
2008
Springer
16 years 4 months ago
Automatic Generator of Minimal Problem Solvers
Abstract. Finding solutions to minimal problems for estimating epipolar geometry and camera motion leads to solving systems of algebraic equations. Often, these systems are not tri...
Martin Bujnak, Tomás Pajdla, Zuzana Kukelov...
126
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PERVASIVE
2008
Springer
15 years 2 months ago
Localized power-aware routing in linear wireless sensor networks
Energy-efficency is a key concern when designing protocols for wireless sensor networks (WSN). This is of particular importance in commercial applications where demonstrable retur...
Marco Zimmerling, Waltenegus Dargie, Johnathan M. ...
152
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DAC
2010
ACM
15 years 20 days ago
Tradeoff analysis and optimization of power delivery networks with on-chip voltage regulation
Integrating a large number of on-chip voltage regulators holds the promise of solving many power delivery challenges through strong local load regulation and facilitates systemlev...
Zhiyu Zeng, Xiaoji Ye, Zhuo Feng, Peng Li
124
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CVPR
2007
IEEE
16 years 4 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