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SIAMNUM
2010
120views more  SIAMNUM 2010»
13 years 21 hour ago
Sparse Spectral Approximations of High-Dimensional Problems Based on Hyperbolic Cross
Hyperbolic cross approximations by some classical orthogonal polynomials/functions in both bounded and unbounded domains are considered in this paper. Optimal error estimates in pr...
Jie Shen, Li-lian Wang
ISAAC
2007
Springer
109views Algorithms» more  ISAAC 2007»
13 years 11 months ago
Separating Populations with Wide Data: A Spectral Analysis
In this paper, we consider the problem of partitioning a small data sample drawn from a mixture of k product distributions. We are interested in the case that individual features a...
Avrim Blum, Amin Coja-Oghlan, Alan M. Frieze, Shuh...
NIPS
2007
13 years 6 months ago
A Spectral Regularization Framework for Multi-Task Structure Learning
Learning the common structure shared by a set of supervised tasks is an important practical and theoretical problem. Knowledge of this structure may lead to better generalization ...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
BMCBI
2006
202views more  BMCBI 2006»
13 years 5 months ago
Spectral embedding finds meaningful (relevant) structure in image and microarray data
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
Brandon W. Higgs, Jennifer W. Weller, Jeffrey L. S...
BICOB
2009
Springer
13 years 12 months ago
Graph Spectral Approach for Identifying Protein Domains
Here we present a simple method based on graph spectral properties to automatically partition multi-domain proteins into individual domains. The identification of structural domain...
Hari Krishna Yalamanchili, Nita Parekh