476 search results - page 4 / 96 » Learning a Distance Metric from Relative Comparisons |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
AAAI
2010
13 years 6 months ago
2010
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
JCIT
2008
13 years 5 months ago
2008
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...