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KDD
2006
ACM
181views Data Mining» more  KDD 2006»
15 years 10 months ago
Cryptographically private support vector machines
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
Helger Lipmaa, Sven Laur, Taneli Mielikäinen
ACIVS
2005
Springer
15 years 3 months ago
Gender Classification in Human Gait Using Support Vector Machine
We describe an automated system that classifies gender by utilising a set of human gait data. The gender classification system consists of three stages: i) detection and extraction...
Jang-Hee Yoo, Doosung Hwang, Mark S. Nixon
IPPS
2005
IEEE
15 years 3 months ago
The SDVM - An Approach for Future Adaptive Computer Clusters
The Self Distributing Virtual Machine (SDVM) is a parallel computing machine which consists of a cluster of customary computers. The participating machines may have different comp...
Jan Haase, Frank Eschmann, Klaus Waldschmidt
NECO
2008
108views more  NECO 2008»
14 years 9 months ago
An SMO Algorithm for the Potential Support Vector Machine
We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...
Tilman Knebel, Sepp Hochreiter, Klaus Obermayer
NIPS
2000
14 years 11 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio