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» Minimal Kernel Classifiers
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SIGPRO
2011
249views Hardware» more  SIGPRO 2011»
14 years 13 days ago
Extracting biometric binary strings with minimal area under the FRR curve for the hamming distance classifier
Quantizing real-valued templates into binary strings is a fundamental step in biometric compression and template protection. In this paper, we introduce the area under the FRR cur...
C. Chen, R. Veldhuis
NPL
2006
137views more  NPL 2006»
14 years 9 months ago
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
Chih-Ming Chen, Yung-Feng Lu, Chin-Ming Hong
DMIN
2008
145views Data Mining» more  DMIN 2008»
14 years 11 months ago
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows ...
Olvi L. Mangasarian, Edward W. Wild
GD
2003
Springer
15 years 2 months ago
Fixed Parameter Algorithms for one-sided crossing minimization Revisited
We exhibit a small problem kernel for the one-sided crossing minimization problem. This problem plays an important role in graph drawing algorithms based on the Sugiyama layering ...
Vida Dujmovic, Henning Fernau, Michael Kaufmann