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» Error Rejection in Linearly Combined Multiple Classifiers
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TSMC
2010
13 years 2 months ago
Binary Biometrics: An Analytic Framework to Estimate the Performance Curves Under Gaussian Assumption
In recent years the protection of biometric data has gained increased interest from the scientific community. Methods such as the fuzzy commitment scheme, helper data system, fuzzy...
Emile J. C. Kelkboom, Gary Garcia Molina, Jeroen B...
PR
2008
85views more  PR 2008»
13 years 7 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
ICASSP
2010
IEEE
13 years 7 months ago
Linear transceiver design in a multiuser MIMO system with quantized channel state information
We design an end-to-end linear transceiver in the downlink of a multi-user multiple-input multiple-output (MIMO) system with multiple data streams per user and quantized channel s...
Muhammad Nazmul Islam, Raviraj Adve
VTC
2010
IEEE
174views Communications» more  VTC 2010»
13 years 6 months ago
Multiple-Relay Aided Distributed Turbo Coding Assisted Differential Unitary Space-Time Spreading for Asynchronous Cooperative Ne
—This paper proposes a cooperative space-time coding (STC) protocol, amalgamating the concepts of asynchronous cooperation, non-coherent detection as well as Distributed Turbo Co...
Shinya Sugiura, Soon Xin Ng, Lingkun Kong, Sheng C...
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
14 years 2 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...