146 search results - page 1 / 30 » Learning Metrics Between Tree Structured Data: Application t... |
ECML
2007
Springer
14 years 5 months ago
2007
Springer
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
ECCV
2008
Springer
15 years 22 days ago
2008
Springer
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
CVPR
2009
IEEE
15 years 6 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.
...
MMM
2011
Springer
13 years 2 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...