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» Invariances in kernel methods: From samples to objects
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CVPR
2007
IEEE
14 years 3 months ago
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, J...
ICCV
2001
IEEE
14 years 11 months ago
Image Detection Under Varying Illumination and Pose
This paper focuses on the detection of objects with Lambertian surface under both varying dlumination and pose We offer to apply a novel detection method that proceeds by modeling...
Margarita Osadchy, Daniel Keren
ICASSP
2008
IEEE
14 years 3 months ago
A confidence measure and iterative rank-based method for temporal registration
In this paper we develop a confidence measure that can determine if a given set of samples is suitable for inclusion in the reconstruction of a higher resolution dataset. The con...
Meghna Singh, Mrinal K. Mandal, Anup Basu
CGF
2010
153views more  CGF 2010»
13 years 9 months ago
Localized Delaunay Refinement for Sampling and Meshing
The technique of Delaunay refinement has been recognized as a versatile tool to generate Delaunay meshes of a variety of geometries. Despite its usefulness, it suffers from one la...
Tamal K. Dey, Joshua A. Levine, A. Slatton
SCIA
2009
Springer
146views Image Analysis» more  SCIA 2009»
14 years 3 months ago
Extraction of Windows in Facade Using Kernel on Graph of Contours
In the past few years, street-level geoviewers has become a very popular web-application. In this paper, we focus on a first urban concept which has been identified as useful for...
Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, F...