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» Dynamically Adapting Kernels in Support Vector Machines
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121
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ICML
2004
IEEE
16 years 4 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
126
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RTSS
2003
IEEE
15 years 9 months ago
Power-aware QoS Management in Web Servers
Power management in data centers has become an increasingly important concern. Large server installations are designed to handle peak load, which may be significantly larger than...
Vivek Sharma, Arun Thomas, Tarek F. Abdelzaher, Ke...
158
Voted
ACCV
2010
Springer
14 years 10 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan
120
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Joint map adaptation of feature transformation and Gaussian Mixture Model for speaker recognition
This paper extends our previous work on feature transformationbased support vector machines for speaker recognition by proposing a joint MAP adaptation of feature transformation (...
Donglai Zhu, Bin Ma, Haizhou Li
125
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JMLR
2006
123views more  JMLR 2006»
15 years 3 months ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu