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» Co-Tracking Using Semi-Supervised Support Vector Machines
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132
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ECCV
2010
Springer
15 years 3 months ago
Object of Interest Detection by Saliency Learning
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
ICML
2000
IEEE
16 years 3 months ago
Bounds on the Generalization Performance of Kernel Machine Ensembles
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
Luis Pérez-Breva, Massimiliano Pontil, Theo...
IJCNN
2000
IEEE
15 years 7 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio
BMCBI
2006
106views more  BMCBI 2006»
15 years 2 months ago
Improving the performance of DomainDiscovery of protein domain boundary assignment using inter-domain linker index
Background: Knowledge of protein domain boundaries is critical for the characterisation and understanding of protein function. The ability to identify domains without the knowledg...
Abdur R. Sikder, Albert Y. Zomaya
112
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ISMIR
2005
Springer
145views Music» more  ISMIR 2005»
15 years 8 months ago
An Investigation of Feature Models for Music Genre Classification Using the Support Vector Classifier
In music genre classification the decision time is typically of the order of several seconds, however, most automatic music genre classification systems focus on short time feat...
Anders Meng, John Shawe-Taylor