31 search results - page 1 / 7 » Learning instance specific distances using metric propagatio... |
56
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
In many real-world applications, such as image retrieval, it would be natural to measure the distances from one instance to others using instance specific distance which captures ...
125
click to vote
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
75
Voted
FLAIRS
2008
14 years 12 months ago
2008
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...