2245 search results - page 4 / 449 » Metrics that Learn Relevance |
SIGIR
1999
ACM
13 years 10 months ago
1999
ACM
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
HICSS
2006
IEEE
14 years 9 days ago
2006
IEEE
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
CVPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
NIPS
2008
13 years 7 months ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...