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» An Efficiency Criterion for 2D Shape Model Selection.
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BMCBI
2008
186views more  BMCBI 2008»
14 years 9 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells

Publication
1500views
16 years 10 months ago
Robust Centerline Extraction Framework Using Level Sets
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected aut...
M. Sabry Hassouna, Aly A. Farag

Presentation
3660views
16 years 10 months ago
Robust Centerline Extraction Framework Using Level Sets
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected auto...
M. Sabry Hassouna
PAMI
2011
14 years 4 months ago
Approximately Global Optimization for Robust Alignment of Generalized Shapes
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
Hongsheng Li, Tian Shen, Xiaolei Huang
ECAI
2010
Springer
14 years 10 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...