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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 7 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 4 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
ICASSP
2011
IEEE
14 years 1 months ago
Low-rank matrix completion with geometric performance guarantees
—The low-rank matrix completion problem can be stated as follows: given a subset of the entries of a matrix, find a low-rank matrix consistent with the observations. There exist...
Wei Dai, Ely Kerman, Olgica Milenkovic
ISBI
2011
IEEE
14 years 1 months ago
3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering
High angular resolution diffusion imaging (HARDI) allows population studies of fiber integrity and connectivity. Tractography can extract individual fibers. For group studies, fib...
Yan Jin, Yonggang Shi, Neda Jahanshad, Iman Aganj,...
SMI
2010
IEEE
165views Image Analysis» more  SMI 2010»
14 years 7 months ago
Designing a Topological Modeler Kernel: A Rule-Based Approach
In this article, we present a rule-based language dedicated to topological operations, based on graph transformations. Generalized maps are described as a particular class of graph...
Thomas Bellet, Mathieu Poudret, Agnès Arnou...