57 search results - page 2 / 12 » Low-Rank Similarity Metric Learning in High Dimensions |
SSDBM
2009
IEEE
14 years 15 days ago
2009
IEEE
High-dimensional indexing has been very popularly used for performing similarity search over various data types such as multimedia (audio/image/video) databases, document collectio...
UAI
2000
13 years 7 months ago
2000
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
VLDB
1999
ACM
13 years 10 months ago
1999
ACM
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
MMM
2011
Springer
12 years 9 months ago
2011
Springer
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...