3675 search results - page 282 / 735 » Support Vector Tracking |
161
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ECML
2004
Springer
16 years 18 hour ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
201
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ERCIMDL
2003
Springer
15 years 12 months ago
2003
Springer
Abstract. This paper presents an approach to automatically subject index fulltext documents with multiple labels based on binary support vector machines (SVM). The aim was to test ...
160
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
167
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
197
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ECML
2006
Springer
15 years 10 months ago
2006
Springer
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...