911 search results - page 32 / 183 » On the Distance of Databases |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
There are two substantial open issues in the field of the image retrieval: semantic gap between computationally extracted low-level features and human operated high-level concepts...
EUROCAST
2005
Springer
2005
Springer
Similarity Queries in Data Bases Using Metric Distances - from Modeling Semantics to Its Maintenance
14 years 1 months ago
Similarity queries in traditional databases work directly on attribute values. But, often similar attribute values do not indicate similar meanings. Semantic background information...
ACCV
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
For spoken document retrieval, it is very important to consider Out-of-Vocabulary (OOV) and mis-recognition of spoken words. Therefore, sub-word unit based recognition and retriev...