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» Data Reduction Using Multiple Models Integration
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DAC
2005
ACM
15 years 10 months ago
Segregation by primary phase factors: a full-wave algorithm for model order reduction
Existing Full-wave Model Order Reduction (FMOR) approaches are based on Expanded Taylor Series Approximations (ETAS) of the oscillatory full-wave system matrix. The accuracy of su...
Thomas J. Klemas, Luca Daniel, Jacob K. White
CVPR
2008
IEEE
15 years 11 months ago
Clustering and dimensionality reduction on Riemannian manifolds
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
Alvina Goh, René Vidal
ICRA
2010
IEEE
126views Robotics» more  ICRA 2010»
14 years 8 months ago
Multiple depth/presence sensors: Integration and optimal placement for human/robot coexistence
— Depth and presence sensors are used to prevent collisions in environments where human/robot coexistence is relevant. To address the problem of occluded areas, we extend in this...
Fabrizio Flacco, Alessandro De Luca
SADM
2010
173views more  SADM 2010»
14 years 4 months ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
BMCBI
2010
122views more  BMCBI 2010»
14 years 9 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen