71 search results - page 2 / 15 » Constraint-Based Learning of Distance Functions for Object T... |
SSD
2009
Springer
14 years 5 days ago
2009
Springer
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
AMR
2007
Springer
13 years 11 months ago
2007
Springer
This paper gives an overview of recent approaches towards image representation and image similarity computation for content-based image retrieval and automatic image annotation (ca...
MLDM
2005
Springer
13 years 11 months ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
MLDM
2007
Springer
13 years 11 months ago
2007
Springer
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position...