1514 search results - page 65 / 303 » Co-Tracking Using Semi-Supervised Support Vector Machines |
123
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
133
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ML
2002
ACM
15 years 2 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
136
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ICPR
2002
IEEE
16 years 3 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
123
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DAC
2003
ACM
16 years 3 months ago
2003
ACM
The use of Support Vector Machines (SVMs) to represent the performance space of analog circuits is explored. In abstract terms, an analog circuit maps a set of input design parame...
127
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IPSN
2010
Springer
15 years 9 months ago
2010
Springer
This paper develops algorithms to train linear support vector machines (SVMs) when training data are distributed across different nodes and their communication to a centralized no...