1209 search results - page 23 / 242 » Semi-Supervised Learning with Trees |
154
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ICML
2006
IEEE
16 years 6 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
192
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CVPR
2010
IEEE
16 years 1 months ago
2010
IEEE
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
175
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ECML
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
173
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ICML
2004
IEEE
16 years 6 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
233
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CIVR
2008
Springer
15 years 7 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...