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CATA
2009
15 years 8 months ago
Nearest Shrunken Centroid as Feature Selection of Microarray Data
The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
Myungsook Klassen, Nyunsu Kim
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
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
15 years 8 months ago
Coordinate change operators for genetic algorithms
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...
ICASSP
2010
IEEE
15 years 7 months ago
Modulated wideband converter with non-ideal lowpass filters
We investigate the impact of using non-ideal lowpass filters in the modulated wideband (MWC) converter, which is a recent subNyquist sampling system for sparse wideband analog si...
Yilun Chen, Moshe Mishali, Yonina C. Eldar, Alfred...
ICASSP
2010
IEEE
15 years 7 months ago
Learning sparse systems at sub-Nyquist rates: A frequency-domain approach
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
Martin McCormick, Yue M. Lu, Martin Vetterli