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» Robust optimization - methodology and applications
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IDEAL
2010
Springer
15 years 4 months ago
Robust 1-Norm Soft Margin Smooth Support Vector Machine
Based on studies and experiments on the loss term of SVMs, we argue that 1-norm measurement is better than 2-norm measurement for outlier resistance. Thus, we modify the previous 2...
Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, Chih-Chen...
CVPR
2011
IEEE
15 years 2 months ago
A Closed Form Solution to Robust Subspace Estimation and Clustering
We consider the problem of fitting one or more subspaces to a collection of data points drawn from the subspaces and corrupted by noise/outliers. We pose this problem as a rank m...
Paolo Favaro, René, Vidal, Avinash Ravichandran
TMI
2010
164views more  TMI 2010»
15 years 1 months ago
Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Ramin Eslami, Mathews Jacob
SDM
2011
SIAM
198views Data Mining» more  SDM 2011»
14 years 9 months ago
Exemplar-based Robust Coherent Biclustering
The biclustering, co-clustering, or subspace clustering problem involves simultaneously grouping the rows and columns of a data matrix to uncover biclusters or sub-matrices of the...
Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant Honavar
ISBI
2004
IEEE
16 years 7 months ago
Software Process: The Key to Developing Robust, Reusable and Maintainable Open-Source Software
The practice of image processing inherently requires software development. Creating this technology requires designing, implementing, debugging and testing software applications o...
Ken Martin, Luis Ibáñez, William J. ...