199 search results - page 13 / 40 » Accuracy of distance metric learning algorithms |
115
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KDD
2003
ACM
16 years 26 days ago
2003
ACM
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
109
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IJCV
2002
15 years 4 days ago
2002
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
125
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CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
116
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
96
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MLDM
2005
Springer
15 years 6 months ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...