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IJCNN
2006
IEEE
15 years 7 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
PG
2003
IEEE
15 years 6 months ago
Illustration Watermarks for Vector Graphics
Digital watermarking is a technique for embedding information into data, such as images, 3D models, or audio files, such that some properties (i. e., security, imperceptibility, ...
Henry Sonnet, Tobias Isenberg, Jana Dittmann, Thom...
MOBICOM
1999
ACM
15 years 5 months ago
Multicast Operation of the Ad-Hoc On-Demand Distance Vector Routing Protocol
An ad-hoc network is the cooperative engagement of a collection of typically wireless mobile nodes without the required intervention of any centralized access point or existing ...
Elizabeth M. Belding-Royer, Charles E. Perkins
NN
2002
Springer
125views Neural Networks» more  NN 2002»
15 years 1 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann
ICML
2005
IEEE
16 years 2 months ago
A support vector method for multivariate performance measures
This paper presents a Support Vector Method for optimizing multivariate nonlinear performance measures like the F1score. Taking a multivariate prediction approach, we give an algo...
Thorsten Joachims