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96
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MLDM
2005
Springer
15 years 5 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
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...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
77
Voted
ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
102
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ECCV
2010
Springer
15 years 4 months ago
Learning a Fine Vocabulary
We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over ...
105
Voted
SIGITE
2006
ACM
15 years 6 months ago
Does a virtual networking laboratory result in similar student achievement and satisfaction?
Delivery of content in networking and system administration curricula involves significant hands-on laboratory experience supplementing traditional classroom instruction at the Ro...
Edith A. Lawson, William Stackpole
CVPR
2005
IEEE
16 years 2 months ago
Space-Time Behavior Based Correlation
We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a simi...
Eli Shechtman, Michal Irani