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» Sparse Recovery Using Sparse Random Matrices
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95
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ICCV
2011
IEEE
14 years 13 days ago
Unwrapping Low-rank Textures on Generalized Cylindrical Surfaces
In this paper, we show how to reconstruct both 3D shape and 2D texture of a class of surfaces from a single perspective image. We consider the so-called the generalized cylindrica...
Zhengdong Zhang, Xiao Liang, Yi Ma
115
Voted
ICML
2010
IEEE
15 years 1 months ago
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
Seyoung Kim, Eric P. Xing
105
Voted
DAWAK
2010
Springer
15 years 1 months ago
Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients
Abstract. Pearson product-moment correlation coefficients are a wellpracticed quantification of linear dependence seen across many fields. When calculating a sample-based correlati...
Taylor Phillips, Chris GauthierDickey, Ramki Thuri...
127
Voted
BMCBI
2011
14 years 7 months ago
Multivariate analysis of microarray data: differential expression and differential connection
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
Harri T. Kiiveri
CVIU
2007
152views more  CVIU 2007»
15 years 11 days ago
A random sampling strategy for piecewise planar scene segmentation
We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically...
Adrien Bartoli