576 search results - page 3 / 116 » Structured metric learning for high dimensional problems |
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...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
ICDE
2000
IEEE
14 years 6 months ago
2000
IEEE
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
DEXAW
1999
IEEE
1999
IEEE
Using the Distance Distribution for Approximate Similarity Queries in High-Dimensional Metric Spaces
13 years 9 months ago
We investigate the problem of approximate similarity (nearest neighbor) search in high-dimensional metric spaces, and describe how the distance distribution of the query object ca...