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» On the Complexity of Numerical Analysis
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ECCV
2010
Springer
15 years 8 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
Christoph H. Lampert, Oliver Krömer
VISAPP
2007
15 years 8 months ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...
SIAMSC
2010
137views more  SIAMSC 2010»
15 years 1 months ago
Accuracy Measures and Fourier Analysis for the Full Multigrid Algorithm
Abstract. The full multigrid (FMG) algorithm is often claimed to achieve so-called discretizationlevel accuracy. In this paper, this notion is formalized by defining a worst-case r...
Carmen Rodrigo, Francisco J. Gaspar, Cornelis W. O...
CORR
2011
Springer
193views Education» more  CORR 2011»
14 years 11 months ago
The Synchrosqueezing algorithm: a robust analysis tool for signals with time-varying spectrum
We analyze the Synchrosqueezing transform, a consistent and invertible time-frequency analysis tool that can identify and extract oscillating components (of time-varying frequency...
Eugene Brevdo, Neven S. Fuckar, Gaurav Thakur, Hau...
ICC
2007
IEEE
245views Communications» more  ICC 2007»
16 years 1 months ago
Low Complexity MMSE Vector Precoding Using Lattice Reduction for MIMO Systems
—In this paper, a lattice-reduction-aided (LRA) With such an approximation, the complexity of VP is greatly minimum mean square error (MMSE) vector precoding (VP) is reduced. pro...
Feng Liu, Ling-ge Jiang, Chen He