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» Discriminant analysis via support vectors
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ICIW
2009
IEEE
13 years 6 months ago
Detecting Ontology Mappings via Descriptive Statistical Methods
Instance-based ontology mapping comprises a collection of theoretical approaches and applications for identifying the implicit semantic similarities between two ontologies on the ...
Konstantin Todorov
ICIAR
2005
Springer
14 years 2 months ago
On the Individuality of the Iris Biometric
We consider quantitatively establishing the discriminative power of iris biometric data. It is difficult, however, to establish that any biometric modality is capable of distingui...
Sungsoo Yoon, Seung-Seok Choi, Sung-Hyuk Cha, Yill...
ACCV
2007
Springer
14 years 3 months ago
Gesture Recognition Under Small Sample Size
This paper addresses gesture recognition under small sample size, where direct use of traditional classifiers is difficult due to high dimensionality of input space. We propose a ...
Tae-Kyun Kim, Roberto Cipolla
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 3 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
DASFAA
2008
IEEE
120views Database» more  DASFAA 2008»
14 years 3 months ago
Knowledge Transferring Via Implicit Link Analysis
In this paper, we design a local classification algorithm using implicit link analysis, considering the situation that the labeled and unlabeled data are drawn from two different ...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Yong Yu