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» Generalized Discriminant Analysis Using a Kernel Approach
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BMCBI
2010
113views more  BMCBI 2010»
13 years 9 months ago
Unifying generative and discriminative learning principles
Background: The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of differe...
Jens Keilwagen, Jan Grau, Stefan Posch, Marc Stric...
IBPRIA
2007
Springer
14 years 2 months ago
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images
Detection of speckle in ultrasound (US) images has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to no...
Robert Marti, Joan Martí, Jordi Freixenet, ...
ICPR
2006
IEEE
14 years 9 months ago
Line Detection and Texture Characterization of Network Patterns
This paper describes a complete approach to detect, localize and describe network patterns. Such texture is automatically detected with Gaussian derivative kernels and Fisher line...
Costantino Grana, Giovanni Pellacani, Rita Cucchia...
ICPR
2010
IEEE
14 years 2 months ago
2D Shape Recognition Using Information Theoretic Kernels
In this paper, a novel approach for contour-based 2D shape recognition is proposed, using a recently introduced class of information theoretic kernels. This kind of kernels, based...
Manuele Bicego, André Filipe Torres Martins, Vitt...
CVIU
2007
129views more  CVIU 2007»
13 years 8 months ago
Multi-view face and eye detection using discriminant features
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
Peng Wang, Qiang Ji