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CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 7 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
CORR
2010
Springer
210views Education» more  CORR 2010»
15 years 7 months ago
Test Case Generation for Object-Oriented Imperative Languages in CLP
Testing is a vital part of the software development process. Test Case Generation (TCG) is the process of automatically generating a collection of test-cases which are applied to ...
Miguel Gómez-Zamalloa, Elvira Albert, Germ&...
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 7 months ago
Fast Overlapping Group Lasso
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability...
Jun Liu, Jieping Ye
166
Voted
CSDA
2008
150views more  CSDA 2008»
15 years 7 months ago
Unimodal regression via prefix isotonic regression
This paper gives algorithms for determining real-valued univariate unimodal regressions, that is, for determining the optimal regression which is increasing and then decreasing. S...
Quentin F. Stout
206
Voted
CVIU
2008
180views more  CVIU 2008»
15 years 7 months ago
Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images
Topology is an important prior in many image segmentation tasks. In this paper, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology p...
Yun Zeng, Dimitris Samaras, Wei Chen, Qunsheng Pen...