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ICPR
2002
IEEE
16 years 8 months ago
To Each According to its Need: Kernel Class Specific Classifiers
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
Barbara Caputo, Heinrich Niemann
MICCAI
2003
Springer
16 years 7 months ago
Establishing Local Correspondences towards Compact Representations of Anatomical Structures
Computer-aided diagnosis is often based on comparing a structure of interest with prior models. Such a comparison requires automatic techniques in determining prior models from a s...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
MICCAI
2003
Springer
16 years 7 months ago
User-Aided Boundary Delineation through the Propagation of Implicit Representations
In this paper we introduce user-defined segmentation constraints within the level set methods. Snake-driven methods are powerful and widely explored techniques for object extractio...
Nikos Paragios
ICML
2004
IEEE
16 years 7 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
WWW
2001
ACM
16 years 7 months ago
The design and implementation of the redland RDF application framework
Resource Description Framework (RDF) is a general description technology that can be applied to many application domains. Redland is a software library for RDF which implements a ...
Dave J. Beckett