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» Rough Sets and Approximation Schemes
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90
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ICCV
2007
IEEE
16 years 2 months ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan
79
Voted
ICPR
2008
IEEE
16 years 1 months ago
Super-resolution from unregistered omnidirectional images
This paper addresses the problem of superresolution from low resolution spherical images that are not perfectly registered. Such a problem is typically encountered in omnidirectio...
Zafer Arican, Pascal Frossard
143
Voted
IPMI
2003
Springer
16 years 1 months ago
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
Active Shape Models (ASM) have proven to be an effective approach for image segmentation. In some applications, however, the linear model of gray level appearance around a contour ...
Marleen de Bruijne, Bram van Ginneken, Max A. Vier...
IMR
2003
Springer
15 years 5 months ago
Meshing of Diffusion Surfaces for Point-Based Tensor Field Visualization
The visualization of 3D vector and tensor fields in a 2D image is challenging because the large amount of information will either be mixed during projection to 2D or lead to seve...
Ralf Sondershaus, Stefan Gumhold
112
Voted
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 5 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage